NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "mysql_identifier_quote_character" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "mysql_identifier_quote_character" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 397 [function] => variable_get [args] => Array ( [0] => mysql_identifier_quote_character [1] => ` ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 329 [function] => setPrefix [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [default] => ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 349 [function] => __construct [class] => DatabaseConnection [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => mysql:host=localhost;port=3306;charset=utf8;dbname=hitrahr [1] => root [2] => asdf [3] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1796 [function] => __construct [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => 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=> keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] 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to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [driver] => mysql [database] => hitrahr [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) [pdo] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1582 [function] => openConnection [class] => Database [type] => :: [args] => Array ( [0] => hitrahr [1] => default ) ) [6] => Array ( [file] => 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[function] => category_validate_url_alias [args] => Array ( [0] => cc ) ) [10] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 86 [function] => check_for_module [args] => Array ( [0] => /cc/leonardoai [1] => Array ( [0] => [1] => cc [2] => leonardoai ) ) ) [11] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [12] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => leonardoai [1] => ) ) [2] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-functions.php [line] => 38 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => leonardoai [hr_nid] => 442127 [title] => Leonardo AI: Creating AI Images and Talking Portraits [requirements] =>

Audience

[overview] =>

Leonardo AI is a powerful AI-powered text to image generator. It can be beneficial in various fields, including art, design, advertisement, and entertainment. 

This instructor-led, live training (online or onsite) is aimed at digital artists and AI enthusiasts who wish to use Leonardo AI to create complex visual content and realistic talking portraits.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at digital artists and AI enthusiasts who wish to use Leonardo AI to create complex visual content and realistic talking portraits.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Leonardo AI

Getting Started

Training Your Own Models

Generating Images Using Leonardo AI

Understanding AI Talking Portraits

Creating AI Talking Portaits

Implementing Leonardo AI in Your Workflows

Best Practices and Ethical Considerations

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037955 [source_title] => Leonardo AI: Creating AI Images and Talking Portraits [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => leonardoai [hr_nid] => 442127 [title] => Leonardo AI: Creating AI Images and Talking Portraits [requirements] =>

Audiencia

[overview] =>

Leonardo AI es un potente generador de texto a imágenes impulsado por IA. Puede resultar beneficioso en diversos campos, incluidos el arte, el diseño, la publicidad y el entretenimiento.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a artistas digitales y entusiastas de la inteligencia artificial que deseen utilizar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a artistas digitales y entusiastas de la IA que deseen usar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introducción

Comprensión Leonardo AI

Empezar

Entrenamiento de sus propios modelos

Generación de imágenes con Leonardo AI

Comprender los retratos parlantes de IA

Creación de retratos parlantes de IA

Implementación de Leonardo AI en sus flujos de trabajo

Mejores prácticas y consideraciones éticas

Resumen y próximos pasos

[language] => es [duration] => 14 [status] => published [changed] => 1700037955 [source_title] => Leonardo AI: Creating AI Images and Talking Portraits [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 150 [function] => hrquery_outline_load_all_v2 [args] => Array ( [0] => leonardoai ) ) [4] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 13 [function] => course_get_outline [args] => Array ( [0] => leonardoai ) ) [5] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [6] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [7] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [8] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "mysql_identifier_quote_character" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "mysql_identifier_quote_character" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 397 [function] => variable_get [args] => Array ( [0] => mysql_identifier_quote_character [1] => ` ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 329 [function] => setPrefix [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [default] => ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/includes/database/mysql/database.inc [line] => 349 [function] => __construct [class] => DatabaseConnection [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => mysql:host=localhost;port=3306;charset=utf8;dbname=common_fe [1] => root [2] => asdf [3] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1796 [function] => __construct [class] => DatabaseConnection_mysql [object] => DatabaseConnection_mysql Object ( [target:protected] => [key:protected] => [logger:protected] => [transactionLayers:protected] => Array ( ) [driverClasses:protected] => Array ( ) [statementClass:protected] => DatabaseStatementBase [transactionSupport:protected] => 1 [transactionalDDLSupport:protected] => [temporaryNameIndex:protected] => 0 [connection:protected] => [connectionOptions:protected] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) ) [schema:protected] => [prefixes:protected] => Array ( [default] => ) [prefixSearch:protected] => Array ( [0] => { [1] => } ) [prefixReplace:protected] => Array ( [0] => [1] => ) [escapedNames:protected] => Array ( ) [escapedAliases:protected] => Array ( ) [unprefixedTablesMap:protected] => Array ( ) [needsCleanup:protected] => [reservedKeyWords:DatabaseConnection_mysql:private] => Array ( [0] => accessible [1] => add [2] => admin [3] => all [4] => alter [5] => analyze [6] => and [7] => as [8] => asc [9] => asensitive [10] => before [11] => between [12] => bigint [13] => binary [14] => blob [15] => both [16] => by [17] => call [18] => cascade [19] => case [20] => change [21] => char [22] => character [23] => check [24] => collate [25] => column [26] => condition [27] => constraint [28] => continue [29] => convert [30] => create [31] => cross [32] => cube [33] => cume_dist [34] => current_date [35] => current_time [36] => current_timestamp [37] => current_user [38] => cursor [39] => database [40] => databases [41] => day_hour [42] => day_microsecond [43] => day_minute [44] => day_second [45] => dec [46] => decimal [47] => declare [48] => default [49] => delayed [50] => delete [51] => dense_rank [52] => desc [53] => describe [54] => deterministic [55] => distinct [56] => distinctrow [57] => div [58] => double [59] => drop [60] => dual [61] => each [62] => else [63] => elseif [64] => empty [65] => enclosed [66] => escaped [67] => except [68] => exists [69] => exit [70] => explain [71] => false [72] => fetch [73] => first_value [74] => float [75] => float4 [76] => float8 [77] => for [78] => force [79] => foreign [80] => from [81] => fulltext [82] => function [83] => generated [84] => get [85] => grant [86] => group [87] => grouping [88] => groups [89] => having [90] => high_priority [91] => hour_microsecond [92] => hour_minute [93] => hour_second [94] => if [95] => ignore [96] => in [97] => index [98] => infile [99] => inner [100] => inout [101] => insensitive [102] => insert [103] => int [104] => int1 [105] => int2 [106] => int3 [107] => int4 [108] => int8 [109] => integer [110] => intersect [111] => interval [112] => into [113] => io_after_gtids [114] => io_before_gtids [115] => is [116] => iterate [117] => join [118] => json_table [119] => key [120] => keys [121] => kill [122] => lag [123] => last_value [124] => lateral [125] => lead [126] => leading [127] => leave [128] => left [129] => like [130] => limit [131] => linear [132] => lines [133] => load [134] => localtime [135] => localtimestamp [136] => lock [137] => long [138] => longblob [139] => longtext [140] => loop [141] => low_priority [142] => master_bind [143] => master_ssl_verify_server_cert [144] => match [145] => maxvalue [146] => mediumblob [147] => mediumint [148] => mediumtext [149] => middleint [150] => minute_microsecond [151] => minute_second [152] => mod [153] => modifies [154] => natural [155] => not [156] => no_write_to_binlog [157] => nth_value [158] => ntile [159] => null [160] => numeric [161] => of [162] => on [163] => optimize [164] => optimizer_costs [165] => option [166] => optionally [167] => or [168] => order [169] => out [170] => outer [171] => outfile [172] => over [173] => partition [174] => percent_rank [175] => persist [176] => persist_only [177] => precision [178] => primary [179] => procedure [180] => purge [181] => range [182] => rank [183] => read [184] => reads [185] => read_write [186] => real [187] => recursive [188] => references [189] => regexp [190] => release [191] => rename [192] => repeat [193] => replace [194] => require [195] => resignal [196] => restrict [197] => return [198] => revoke [199] => right [200] => rlike [201] => row [202] => rows [203] => row_number [204] => schema [205] => schemas [206] => second_microsecond [207] => select [208] => sensitive [209] => separator [210] => set [211] => show [212] => signal [213] => smallint [214] => spatial [215] => specific [216] => sql [217] => sqlexception [218] => sqlstate [219] => sqlwarning [220] => sql_big_result [221] => sql_calc_found_rows [222] => sql_small_result [223] => ssl [224] => starting [225] => stored [226] => straight_join [227] => system [228] => table [229] => terminated [230] => then [231] => tinyblob [232] => tinyint [233] => tinytext [234] => to [235] => trailing [236] => trigger [237] => true [238] => undo [239] => union [240] => unique [241] => unlock [242] => unsigned [243] => update [244] => usage [245] => use [246] => using [247] => utc_date [248] => utc_time [249] => utc_timestamp [250] => values [251] => varbinary [252] => varchar [253] => varcharacter [254] => varying [255] => virtual [256] => when [257] => where [258] => while [259] => window [260] => with [261] => write [262] => xor [263] => year_month [264] => zerofill ) ) [type] => -> [args] => Array ( [0] => Array ( [driver] => mysql [database] => common_fe [username] => root [password] => asdf [host] => localhost [prefix] => Array ( [default] => ) [pdo] => Array ( [1000] => 1 [20] => 1 [17] => 1 [1013] => ) ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 1582 [function] => openConnection [class] => Database [type] => :: [args] => Array ( [0] => common_fe [1] => default ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/includes/database/database.inc [line] => 2467 [function] => getConnection [class] => Database [type] => :: [args] => Array ( [0] => default ) ) [7] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 31 [function] => db_query [args] => Array ( [0] => SELECT * FROM price_formulas WHERE country_code = :country_code [1] => Array ( [:country_code] => ve ) ) ) [8] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 111 [function] => np_db_query [args] => Array ( [0] => common_fe [1] => db_query [2] => SELECT * FROM price_formulas WHERE country_code = :country_code [3] => Array ( [:country_code] => ve ) ) ) [9] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 93 [function] => get_formula [args] => Array ( [0] => ve ) ) [10] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 355 [function] => course_price_v2_formula [args] => Array ( ) ) [11] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 344 [function] => course_price_change_to_fe_p [args] => Array ( [0] => leonardoai [1] => 14 [2] => [3] => 0 [4] => [5] => USD ) ) [12] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 316 [function] => course_price_get_default_price [args] => Array ( [0] => leonardoai ) ) [13] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 15 [function] => course_price_get_price [args] => Array ( [0] => leonardoai ) ) [14] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => leonardoai ) ) [15] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [16] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [17] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [18] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "sdp" /apps/nobleprog-website/includes/functions/course-prices.php:281 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 281 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "sdp" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 281 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 3150 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => leonardoai [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => leonardoai ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "nobleprog_default_trainer_journey" /apps/nobleprog-website/includes/functions/course-prices.php:286 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 286 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_default_trainer_journey" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 286 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 3150 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => leonardoai [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => leonardoai ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "nobleprog_price_rounding" /apps/nobleprog-website/includes/functions/course-prices.php:289 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 289 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_price_rounding" [2] => /apps/nobleprog-website/includes/functions/course-prices.php [3] => 289 ) ) [1] => Array ( [file] => /apps/nobleprog-website/includes/functions/course-prices.php [line] => 45 [function] => course_price_table [args] => Array ( [0] => Array ( [fdp] => 3150 [adp] => 750 [reduced_fdp] => [reduced_adp] => [days] => 2 [default_venue_fdc] => 350 [default_venue_adc] => 50 [people] => 1 [hours] => 14 [course_code] => leonardoai [venue_id] => ve_10638169 [vfdc] => 250.00 [vadc] => 75.00 ) [1] => 10 ) ) [2] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 23 [function] => course_price_virtual_event_price [args] => Array ( [0] => leonardoai ) ) [3] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [4] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [6] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => aiase [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => aiase [hr_nid] => 478475 [title] => AI-Augmented Software Engineering (AIASE) [requirements] =>

Audience

[overview] =>

AI-Augmented Software Engineering (AIASE) is the application of artificial intelligence to enhance and automate tasks within the software engineering process.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.

By the end of this training, participants will be able to:

[outline] =>

Introduction to AIASE

AI Technologies in Software Development

Automating Software Development with AI

Enhancing Code Quality with AI

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

AI for Documentation and Knowledge Management

Ethical Considerations and Challenges

Hands-On Projects and Case Studies

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1714661302 [source_title] => AI-Augmented Software Engineering (AIASE) [source_language] => en [cert_code] => [weight] => -1005 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aiase [hr_nid] => 478475 [title] => AI-Augmented Software Engineering (AIASE) [requirements] => [overview] =>

AI-Augmented Software Engineering (AIASE) es la aplicación de la inteligencia artificial para mejorar y automatizar tareas dentro del proceso de ingeniería de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 14 [status] => published [changed] => 1714661302 [source_title] => AI-Augmented Software Engineering (AIASE) [source_language] => en [cert_code] => [weight] => -1005 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => aiase [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => aiase [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => aicodingassistants [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => aicodingassistants [hr_nid] => 478563 [title] => AI Coding Assistants: Enhancing Developer Productivity [requirements] =>

Audience

[overview] =>

AI Coding Assistants are tools designed to improve the efficiency and creativity of software developers.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

By the end of this training, participants will be able to:

[outline] =>

Introduction to AI Coding Assistants

Technologies Behind AI Coding Assistants

Popular AI Coding Assistant Tools

Best Practices and Workflow Integration

Case Studies and Real-World Applications

Ethical Considerations and Responsible Use

Project Work

Summary and Next Steps

[language] => en [duration] => 7 [status] => published [changed] => 1714660961 [source_title] => AI Coding Assistants: Enhancing Developer Productivity [source_language] => en [cert_code] => [weight] => -1006 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aicodingassistants [hr_nid] => 478563 [title] => AI Coding Assistants: Enhancing Developer Productivity [requirements] => [overview] =>

Los asistentes de codificación de IA son herramientas diseñadas para mejorar la eficiencia y la creatividad de los desarrolladores de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

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None

[overview] =>

This is a 5 day introduction to Data Science and Artificial Intelligence (AI).

The course is delivered with examples and exercises using Python 

[category_overview] => [outline] =>

Introduction to Data Science/AI

Data Science workflow

Data Science technologies

AI in Business

Data sources

Data Analysis – Statistical approach

Machine learning in business

Deep learning

Natural Language processing

Data visualization

From Data to Decision – communication

[language] => en [duration] => 35 [status] => published [changed] => 1700037561 [source_title] => Introduction to Data Science and AI using Python [source_language] => en [cert_code] => [weight] => -985 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aidatascience [hr_nid] => 330263 [title] => Introduction to Data Science and AI using Python [requirements] => [overview] =>

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

[category_overview] => [outline] => [language] => es [duration] => 35 [status] => published [changed] => 1700037561 [source_title] => Introduction to Data Science and AI using Python [source_language] => en [cert_code] => [weight] => -985 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => aidatascience [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => aidatascience [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => aidm [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => aidm [hr_nid] => 335719 [title] => AI in Digital Marketing [requirements] =>

Audience

[overview] =>

AI (Artificial Intelligence) is intelligence for machines to accomplish specific tasks by recognizing patterns in data. AI enables users to growth hack the success of digital marketing campaigns.

This instructor-led, live training (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights.

By the end of this training, participants will be able to:

[outline] =>

Introduction

AI in Digital Marketing

Content Curation and Creation

Google Cloud AI

SEO Optimization

Email Task Automation

Tracking and Reporting

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037602 [source_title] => AI in Digital Marketing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aidm [hr_nid] => 335719 [title] => AI in Digital Marketing [requirements] => [overview] =>

La inteligencia artificial (AI) es la inteligencia para las máquinas para realizar tareas específicas mediante el reconocimiento de patrones en los datos. AI permite a los usuarios hacerse el éxito de las campañas de marketing digital.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a los marketingers que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 7 [status] => published [changed] => 1700037602 [source_title] => AI in Digital Marketing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => aidm [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => aidm [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => aiforrobotics [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] =>

Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_title] => Artificial Intelligence (AI) for Robotics [source_language] => en [cert_code] => [weight] => 0.1 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] => [overview] =>

Robotics es un área de inteligencia artificial (AI) que se ocupa de la programación y el diseño de máquinas inteligentes y eficientes.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a ingenieros que desean programar y crear robots a través de métodos básicos de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

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Audience

[overview] =>

Artificial Intelligence (AI) is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence and it aims to simulate human-like cognitive processes.

This instructor-led, live training (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Ethical Considerations and Future Trends in AI

Overview of the Uses of AI

Privacy Protection and Compliant use of AI

Summary and next steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037953 [source_title] => Introduction to Artificial Intelligence (AI) [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aiintroduction [hr_nid] => 441615 [title] => Introduction to Artificial Intelligence (AI) [requirements] => [overview] =>

Artificial Intelligence (AI) es una rama de la informática que se centra en el desarrollo de máquinas inteligentes capaces de realizar tareas que normalmente requieren inteligencia humana y tiene como objetivo simular procesos cognitivos similares a los humanos.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo utilizarla de manera efectiva y responsable.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

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Audience

[overview] =>

Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities.

In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

[outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] => [overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 6 semanas se lleva a cabo 5 días por semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => airoboticsfornuclear [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => airoboticsfornuclear [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => aitrism [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => aitrism [hr_nid] => 477915 [title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [requirements] =>

Audience

[overview] =>

AI TRiSM is an emerging field that addresses the need for trustworthiness, risk management, and security in AI systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.

By the end of this training, participants will be able to:

[outline] =>

Understanding AI TRiSM

Foundations of Trustworthy AI

Risk Management in AI

Security Aspects of AI

Compliance and Data Protection

AI Model Governance

Implementing AI TRiSM

Future of AI TRiSM

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => aitrism [hr_nid] => 477915 [title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [requirements] => [overview] =>

AI TRiSM es un campo emergente que aborda la necesidad de confiabilidad, gestión de riesgos y seguridad en los sistemas de IA.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => aitrism [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => aitrism [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => bingai [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] =>

Audience

[overview] =>

Bing AI is Microsoft's integration of artificial intelligence into its search engine, Bing. This course provides an introduction to Bing AI and how it leverages AI technologies to enhance search results and user experiences. Participants will gain insights into the various AI-powered features and functionalities available in Bing, including Bing AI Chatbot.

This instructor-led, live training (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding Bing AI

Getting Started

Bing AI Features and Functionalities

Bing AI Chatbot

Integrating Bing AI with SEO and Content Creation

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] => [overview] =>

Bing AI es la integración de inteligencia artificial de Microsoft en su motor de búsqueda, Bing. Este curso proporciona una introducción a Bing AI y cómo aprovecha las tecnologías de AI para mejorar los resultados de búsqueda y las experiencias de los usuarios. Los participantes obtendrán información sobre las diversas características y funcionalidades impulsadas por IA disponibles en Bing, incluido Bing AI Chatbot.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que desean comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones. .

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => bingai [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => bingai [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => ibmcloudpak [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] =>

Audience

[overview] =>

IBM Cloud Pak for Data is a multi-cloud software platform for collecting, organizing and analyzing data for use in AI.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Overview of Cloud Pac for Data Features and Architecture

Setting up Cloud Pac for Data

Setting up a Workflows

Collecting Data

Organizing Data

Preparing Data

Analyzing Data

Implementing an AI Solution

Integrating Cloud Data Pac with Other Services

Administering Cloud Data Pac

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037632 [source_title] => IBM Cloud Pak for Data [source_language] => en [cert_code] => [weight] => -982 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) ) [es] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] => [overview] =>

IBM Cloud Pak for Data es una plataforma de software multi-cloud para la recopilación, organización y análisis de datos para uso en la IA.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a científicos de datos que desean utilizar IBM Cloud Pak para preparar los datos para su uso en soluciones de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta formación en vivo dirigida por un instructor en <loc> (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] => [language] => es [duration] => 14 [status] => published [changed] => 1700037632 [source_title] => IBM Cloud Pak for Data [source_language] => en [cert_code] => [weight] => -982 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) ) ) ) [3] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 54 [function] => hrquery_get_outline_by_cc_langs [args] => Array ( [0] => ibmcloudpak [1] => Array ( [0] => en [1] => es ) ) ) [4] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 63 [function] => _hrquery_get_outline_by_course_code [args] => Array ( [0] => ibmcloudpak [1] => Array ( [0] => en [1] => es ) ) ) [5] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 74 [function] => hrquery_get_outline_by_course_code [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) [1] => Array ( [0] => en [1] => es ) ) ) [6] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/outlines.logic.php [line] => 174 [function] => hrquery_get_outlines_by_course_codes [args] => Array ( [0] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) ) [7] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 25 [function] => hrquery_outline_get_related [args] => Array ( [0] => hitrave [1] => leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [9] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [10] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [11] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "es" /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module:66 Array ( [0] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 66 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "es" [2] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [3] => 66 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/np_outline/np_outline.module [line] => 25 [function] => np_outline_title [args] => Array ( [0] => intelligentdriving [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/common/hrquery/frontend/denorm.logic.php [line] => 46 [function] => np_outline_get_value [args] => Array ( [0] => Array ( [en] => stdClass Object ( [course_code] => intelligentdriving [hr_nid] => 474087 [title] => Fundamentals of Intelligent Driving [requirements] =>

Audience

[overview] =>

Intelligent driving is a type of driving that uses AI and multi-sensor information fusion to provide guidance and feedback to drivers who want to drive safely and efficiently in complex and dynamic environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

By the end of this training, participants will be able to:

[outline] =>

Introduction

Understanding AI and Multi-Sensor Information Fusion

Driving Skills and Techniques

Driving Scenarios and Situations

Driving Performance and Evaluation

Driving Integration and Application

Troubleshooting

Summary and Next Steps

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La conducción inteligente es un tipo de conducción que utiliza la IA y la fusión de información multisensor para proporcionar orientación y comentarios a los conductores que desean conducir de forma segura y eficiente en entornos complejos y dinámicos.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

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Audience

[overview] =>

Software testing is the process of evaluating the validity of a software application's functionality. Integrating artificial intelligence into the software testing environment enables the process to be AI driven, speeding up authoring, execution, and maintenance of tests.

This instructor-led, live training (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment.

By the end of this training, participants will be able to:

Format of the Course

Course Customization Options

[category_overview] =>

This instructor-led, live training in <loc> (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment.

By the end of this training, participants will be able to:

[outline] =>

Day One:

Introduction

What is AI

Machine Learning

Deep Learning

Day Two:

Preparing the Development Environment

Unit Tests and Parameterization

API Test Generation

Selenium and Self-Healing

Summary and Conclusion

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Las pruebas de software son el proceso de evaluar la validez de la funcionalidad de una aplicación de software. La integración de la inteligencia artificial en el entorno de pruebas de software permite que el proceso se prome de IA, acelerando la creación, la ejecución y el mantenimiento de las pruebas.

Este instructor de formación en vivo (in situ o remoto) está dirigido a los probadores de software que desean tener un entorno de pruebas de software impulsado por IA.

Al final de esta formación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

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Audiencia

[overview] =>

Leonardo AI es un potente generador de texto a imágenes impulsado por IA. Puede resultar beneficioso en diversos campos, incluidos el arte, el diseño, la publicidad y el entretenimiento.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a artistas digitales y entusiastas de la inteligencia artificial que deseen utilizar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a artistas digitales y entusiastas de la IA que deseen usar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introducción

Comprensión Leonardo AI

Empezar

Entrenamiento de sus propios modelos

Generación de imágenes con Leonardo AI

Comprender los retratos parlantes de IA

Creación de retratos parlantes de IA

Implementación de Leonardo AI en sus flujos de trabajo

Mejores prácticas y consideraciones éticas

Resumen y próximos pasos

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Audience

[overview] =>

AI-Augmented Software Engineering (AIASE) es la aplicación de la inteligencia artificial para mejorar y automatizar tareas dentro del proceso de ingeniería de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AIASE

AI Technologies in Software Development

Automating Software Development with AI

Enhancing Code Quality with AI

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

AI for Documentation and Knowledge Management

Ethical Considerations and Challenges

Hands-On Projects and Case Studies

Summary and Next Steps

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Audience

[overview] =>

Los asistentes de codificación de IA son herramientas diseñadas para mejorar la eficiencia y la creatividad de los desarrolladores de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AI Coding Assistants

Technologies Behind AI Coding Assistants

Popular AI Coding Assistant Tools

Best Practices and Workflow Integration

Case Studies and Real-World Applications

Ethical Considerations and Responsible Use

Project Work

Summary and Next Steps

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None

[overview] =>

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

[category_overview] => [outline] =>

Introduction to Data Science/AI

Data Science workflow

Data Science technologies

AI in Business

Data sources

Data Analysis – Statistical approach

Machine learning in business

Deep learning

Natural Language processing

Data visualization

From Data to Decision – communication

[language] => en [duration] => 35 [status] => published [changed] => 1700037561 [source_title] => Introduction to Data Science and AI using Python [source_language] => en [cert_code] => [weight] => -985 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidatascience ) [aidm] => stdClass Object ( [course_code] => aidm [hr_nid] => 335719 [title] => AI in Digital Marketing [requirements] =>

Audience

[overview] =>

La inteligencia artificial (AI) es la inteligencia para las máquinas para realizar tareas específicas mediante el reconocimiento de patrones en los datos. AI permite a los usuarios hacerse el éxito de las campañas de marketing digital.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a los marketingers que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

AI in Digital Marketing

Content Curation and Creation

Google Cloud AI

SEO Optimization

Email Task Automation

Tracking and Reporting

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037602 [source_title] => AI in Digital Marketing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidm ) [aiformanagers] => stdClass Object ( [course_code] => aiformanagers [hr_nid] => 356467 [title] => Inteligencia Artificial (IA) para Directivos [requirements] =>

Audience

[overview] =>

Es la simulación de la inteligencia humana en las máquinas que están programadas para pensar y actuar como los humanos. Cubre una variedad de tecnologías, como el aprendizaje de máquina y el aprendizaje profundo, y se utiliza para diversas aplicaciones empresariales y corporativas para resolver los desafíos y necesidades de la organización.

Este entrenamiento dirigido por instructores, en vivo (online o on-site) está dirigido a los gerentes y líderes de negocios que desean aprender sobre los fundamentos de la inteligencia artificial y gestionar proyectos de inteligencia artificial para su organización.

Al final de esta formación, los participantes podrán entender la IA a nivel técnico y estratégizar utilizando los datos y los recursos de su organización para gestionar con éxito proyectos de IA.

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a gerentes y líderes empresariales que deseen aprender sobre los fundamentos de la inteligencia artificial y administrar proyectos de IA para su organización.

Al final de esta formación, los participantes serán capaces de entender la IA a nivel técnico y elaborar estrategias utilizando los datos y recursos de su organización para gestionar con éxito los proyectos de IA.

[outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Exploring Applications for AI

Learning About the Technology of AI

Assessing Strategic Approaches

Working With Data in Your Organization

Assessing AI Project Selection

Managing an AI Project

Gathering Feedback

Summary and Conclusion

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Audience

[overview] =>

Robotics es un área de inteligencia artificial (AI) que se ocupa de la programación y el diseño de máquinas inteligentes y eficientes.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a ingenieros que desean programar y crear robots a través de métodos básicos de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_title] => Artificial Intelligence (AI) for Robotics [source_language] => en [cert_code] => [weight] => 0.1 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiforrobotics ) [aiintroduction] => stdClass Object ( [course_code] => aiintroduction [hr_nid] => 441615 [title] => Introduction to Artificial Intelligence (AI) [requirements] =>

Audience

[overview] =>

Artificial Intelligence (AI) es una rama de la informática que se centra en el desarrollo de máquinas inteligentes capaces de realizar tareas que normalmente requieren inteligencia humana y tiene como objetivo simular procesos cognitivos similares a los humanos.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo utilizarla de manera efectiva y responsable.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

[outline] =>

Introduction

Ethical Considerations and Future Trends in AI

Overview of the Uses of AI

Privacy Protection and Compliant use of AI

Summary and next steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037953 [source_title] => Introduction to Artificial Intelligence (AI) [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiintroduction ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 6 semanas se lleva a cabo 5 días por semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsfornuclear ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El código se cargará luego en hardware físico (Arduino o otro) para la prueba de implementación final. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Sobre el hardware

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. A continuación, el código se cargará en el hardware físico (Arduino u otro) para realizar las pruebas finales de implementación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_title] => AI and Robotics for Nuclear [source_language] => en [cert_code] => [weight] => 0.2 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsnuclear ) [aisoc_lbg] => stdClass Object ( [course_code] => aisoc_lbg [hr_nid] => 281710 [title] => AI en los negocios y la sociedad y el futuro de la IA - AI / Robótica [requirements] =>

No hay requisitos específicos necesarios para asistir a este curso.
 

[overview] =>

Esta es una sesión de capacitación basada en el aula en una presentación y formato de preguntas y respuestas
 

[category_overview] => [outline] =>

1. Introducción

2. Trabajo y automatización

3. Sesgo e inclusión

4. Derechos y libertades

5. Ética y gobernabilidad

6. Resumen de las cuestiones que se abordarán

7. El futuro y los desafíos de la IA

[language] => es [duration] => 7 [status] => published [changed] => 1700037416 [source_title] => AI in business and Society & The future of AI - AI/Robotics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => ) [cc] => aisoc_lbg ) [aitrism] => stdClass Object ( [course_code] => aitrism [hr_nid] => 477915 [title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [requirements] =>

Audience

[overview] =>

AI TRiSM es un campo emergente que aborda la necesidad de confiabilidad, gestión de riesgos y seguridad en los sistemas de IA.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Understanding AI TRiSM

Foundations of Trustworthy AI

Risk Management in AI

Security Aspects of AI

Compliance and Data Protection

AI Model Governance

Implementing AI TRiSM

Future of AI TRiSM

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aitrism ) [bingai] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] =>

Audience

[overview] =>

Bing AI es la integración de inteligencia artificial de Microsoft en su motor de búsqueda, Bing. Este curso proporciona una introducción a Bing AI y cómo aprovecha las tecnologías de AI para mejorar los resultados de búsqueda y las experiencias de los usuarios. Los participantes obtendrán información sobre las diversas características y funcionalidades impulsadas por IA disponibles en Bing, incluido Bing AI Chatbot.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que desean comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones. .

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding Bing AI

Getting Started

Bing AI Features and Functionalities

Bing AI Chatbot

Integrating Bing AI with SEO and Content Creation

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => bingai ) [ibmcloudpak] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] =>

Audience

[overview] =>

IBM Cloud Pak for Data es una plataforma de software multi-cloud para la recopilación, organización y análisis de datos para uso en la IA.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a científicos de datos que desean utilizar IBM Cloud Pak para preparar los datos para su uso en soluciones de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta formación en vivo dirigida por un instructor en <loc> (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Cloud Pac for Data Features and Architecture

Setting up Cloud Pac for Data

Setting up a Workflows

Collecting Data

Organizing Data

Preparing Data

Analyzing Data

Implementing an AI Solution

Integrating Cloud Data Pac with Other Services

Administering Cloud Data Pac

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037632 [source_title] => IBM Cloud Pak for Data [source_language] => en [cert_code] => [weight] => -982 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => ibmcloudpak ) [intelligentdriving] => stdClass Object ( [course_code] => intelligentdriving [hr_nid] => 474087 [title] => Fundamentals of Intelligent Driving [requirements] =>

Audience

[overview] =>

La conducción inteligente es un tipo de conducción que utiliza la IA y la fusión de información multisensor para proporcionar orientación y comentarios a los conductores que desean conducir de forma segura y eficiente en entornos complejos y dinámicos.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding AI and Multi-Sensor Information Fusion

Driving Skills and Techniques

Driving Scenarios and Situations

Driving Performance and Evaluation

Driving Integration and Application

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1710178699 [source_title] => Fundamentals of Intelligent Driving [source_language] => en [cert_code] => [weight] => -1003 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => intelligentdriving ) [intelltest] => stdClass Object ( [course_code] => intelltest [hr_nid] => 327639 [title] => Intelligent Testing [requirements] =>

Audience

[overview] =>

Las pruebas de software son el proceso de evaluar la validez de la funcionalidad de una aplicación de software. La integración de la inteligencia artificial en el entorno de pruebas de software permite que el proceso se prome de IA, acelerando la creación, la ejecución y el mantenimiento de las pruebas.

Este instructor de formación en vivo (in situ o remoto) está dirigido a los probadores de software que desean tener un entorno de pruebas de software impulsado por IA.

Al final de esta formación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Day One:

Introduction

What is AI

Machine Learning

Deep Learning

Day Two:

Preparing the Development Environment

Unit Tests and Parameterization

API Test Generation

Selenium and Self-Healing

Summary and Conclusion

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Ejemplos y ejercicios

[mc] => [is_mt] => 1 [nid] => 456243 ) [451867] => Array ( [title] => Artificial Intelligence (AI) for Managers [rating] => 4 [delegate_and_company] => Jose Victor - si [body] =>

Toda la información presentada

[mc] => [is_mt] => 1 [nid] => 451867 ) ) [7] => 4.5 [8] => 1 [9] => 1 [10] => ) ) [4] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [5] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) Leonardo AI: Creating AI Images and Talking Portraits Training Course

Programa del Curso

Introducción

  • ¿Qué es Leonardo AI?
  • El beneficio de usar Leonardo AI
  • Descripción general de Leonardo AI características y arquitectura

Comprensión Leonardo AI

  • Explorando Leonardo AI herramientas y recursos
  • Cómo funciona el generador de texto a imagen con IA
  • Ejemplo de imágenes generadas en Leonardo AI
  • Escribir indicaciones precisas y efectivas

Empezar

  • Configuración de las herramientas necesarias
  • Creación de una Leonardo AI cuenta
  • Exploración de todas las funciones en el panel de control Leonardo AI

Entrenamiento de sus propios modelos

  • Entrene conjuntos de datos para crear sus propios modelos
  • Exploración de modelos ajustados existentes

Generación de imágenes con Leonardo AI

  • Generación de imágenes en Leonardo AI
  • Generación de imágenes mediante conjuntos de datos entrenados
  • Realización de la generación de imagen a imagen
  • Generación de mensajes complejos
  • Llevar a cabo la edición avanzada de imágenes
  • Combinación de imágenes con AI Canvas

Comprender los retratos parlantes de IA

  • Introducción a D-ID
  • Registrarse en D-ID

Creación de retratos parlantes de IA

  • Producción de imágenes para retratos parlantes de IA
  • Creación de un script con ChatGPT para generar contenido
  • Transformación de texto en audio con Bigspeak AI
  • Creación de retratos parlantes con D-ID

Implementación de Leonardo AI en sus flujos de trabajo

  • Identificación de casos de uso para Leonardo AI en varios campos
  • Desarrollo de flujos de trabajo para su uso Leonardo AI en sus proyectos
  • Optimización del rendimiento y la eficiencia

Mejores prácticas y consideraciones éticas

  • Consejos para usar Leonardo AI de manera efectiva
  • Evitar el sesgo y garantizar el uso ético de Leonardo AI
  • Desarrollos y tendencias futuros en la generación de imágenes de IA

Resumen y próximos pasos

Requerimientos

  • No se requiere experiencia previa en la creación de imágenes de IA

Audiencia

  • Artistas y diseñadores digitales
  • Creadores de contenido de imágenes
  • Diseñadores gráficos
  • Entusiastas de la IA interesados en la creación de imágenes y retratos parlantes
 14 horas

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Precio por participante

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Testimonios (2)

Ejemplos y ejercicios

Kamil
Curso - Introduction to Data Science and AI using Python

Traducción Automática

Toda la información presentada

Jose Victor - si
Curso - Artificial Intelligence (AI) for Managers

Traducción Automática

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AI-Augmented Software Engineering (AIASE)

 14 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

  • Comprender el papel de la IA y el aprendizaje automático en la automatización de las tareas de desarrollo de software.
  • Implemente herramientas de IA para generar código, pruebas y documentación.
  • Aplique técnicas de IA para la optimización del código, el control de calidad y la depuración.
  • Integre la IA en las canalizaciones DevOps y CI/CD para mejorar las estrategias de implementación.
  • Abordar las consideraciones éticas y los desafíos en la ingeniería de software aumentada por IA.
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AI Coding Assistants: Enhancing Developer Productivity

 7 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

  • Comprender el papel y las capacidades de los asistentes de codificación de IA en el desarrollo de software.
  • Utilice varias herramientas de asistente de codificación de IA para automatizar las tareas de codificación rutinarias.
  • Integre los asistentes de codificación de IA en su ciclo de vida de desarrollo de software.
  • Mejore su productividad y concéntrese en tareas de programación más complejas y creativas.
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Introduction to Data Science and AI using Python

 35 horas

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

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AI in Digital Marketing

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Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

  • Aproveche el software de IA para mejorar la forma en que las marcas se conectan con los usuarios.
  • Utiliza chatbots para optimizar la experiencia del usuario.
  • Aumente la productividad y los ingresos a través de la automatización de tareas.
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Inteligencia Artificial (IA) para Directivos

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Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a gerentes y líderes empresariales que deseen aprender sobre los fundamentos de la inteligencia artificial y administrar proyectos de IA para su organización.

Al final de esta formación, los participantes serán capaces de entender la IA a nivel técnico y elaborar estrategias utilizando los datos y recursos de su organización para gestionar con éxito los proyectos de IA.

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Artificial Intelligence (AI) for Robotics

 21 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

  • Implemente filtros (Kalman y partículas) para permitir que el robot localice objetos en movimiento en su entorno.
  • Implemente algoritmos de búsqueda y planificación de movimiento.
  • Implemente controles PID para regular el movimiento de un robot dentro de un entorno.
  • Implemente algoritmos SLAM para permitir que un robot mapee un entorno desconocido.
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Introduction to Artificial Intelligence (AI)

 35 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

    Aprende el concepto de Artificial Intelligence (AI). Comprenda los límites y los peligros de la IA y utilícela de manera responsable. Sepa cómo usar efectivamente la IA en escenarios del mundo real.
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AI and Robotics for Nuclear - Extended

 120 horas

En esta formación en directo dirigida por un instructor en Venezuela (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

  • Comprender los conceptos clave utilizados en las tecnologías robóticas.
  • Comprender y gestionar la interacción entre el software y el hardware en un sistema robótico.
  • Comprender e implementar los componentes de software que sustentan la robótica.
  • Construya y opere un robot mecánico simulado que pueda ver, sentir, procesar, navegar e interactuar con humanos a través de la voz.
  • Comprender los elementos necesarios de la inteligencia artificial (machine learning, deep learning, etc.) aplicables a la construcción de un robot inteligente.
  • Implemente filtros (Kalman y Particle) para permitir que el robot localice objetos en movimiento en su entorno.
  • Implemente algoritmos de búsqueda y planificación de movimiento.
  • Implemente controles PID para regular el movimiento de un robot dentro de un entorno.
  • Implemente algoritmos SLAM para permitir que un robot mapee un entorno desconocido.
  • Amplíe la capacidad de un robot para realizar tareas complejas a través de Deep Learning.
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AI and Robotics for Nuclear

 80 horas

En esta formación en directo dirigida por un instructor en Venezuela (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. A continuación, el código se cargará en el hardware físico (Arduino u otro) para realizar las pruebas finales de implementación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

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  • Comprender e implementar los componentes de software que sustentan la robótica.
  • Construya y opere un robot mecánico simulado que pueda ver, sentir, procesar, navegar e interactuar con humanos a través de la voz.
  • Comprender los elementos necesarios de la inteligencia artificial (machine learning, deep learning, etc.) aplicables a la construcción de un robot inteligente.
  • Implemente filtros (Kalman y Particle) para permitir que el robot localice objetos en movimiento en su entorno.
  • Implemente algoritmos de búsqueda y planificación de movimiento.
  • Implemente controles PID para regular el movimiento de un robot dentro de un entorno.
  • Implemente algoritmos SLAM para permitir que un robot mapee un entorno desconocido.
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AI en los negocios y la sociedad y el futuro de la IA - AI / Robótica

 7 horas

Esta es una sesión de capacitación basada en el aula en una presentación y formato de preguntas y respuestas
 

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 21 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

  • Comprenda los conceptos clave y la importancia de la gestión de la confianza, el riesgo y la seguridad de la IA.
  • Identifique y mitigue los riesgos asociados con los sistemas de IA.
  • Implemente las mejores prácticas de seguridad para la IA.
  • Comprenda el cumplimiento normativo y las consideraciones éticas de la IA.
  • Desarrollar estrategias para una gobernanza y gestión eficaces de la IA.
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Introduction to Bing AI: Enhancing Search with Artificial Intelligence

 14 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

  • Comprender los principios y las ventajas de Bing AI.
  • Identifique las características impulsadas por IA dentro de Bing y sus aplicaciones.
  • Utilice la IA de Bing para mejorar los resultados de búsqueda y las experiencias de los usuarios.
  • Evaluar el potencial de la IA en la optimización de motores de búsqueda (SEO) y la creación de contenidos.
  • Explora las tecnologías de chatbot y sus aplicaciones, incluido Bing AI Chatbot.
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IBM Cloud Pak for Data

 14 horas

Esta formación en vivo dirigida por un instructor en Venezuela (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

  • Instale y configure Cloud Pak for Data.
  • Unificar la recopilación, organización y análisis de datos.
  • Integre Cloud Pak for Data con una variedad de servicios para resolver problemas empresariales comunes.
  • Implemente flujos de trabajo para colaborar con los miembros del equipo en el desarrollo de una solución de IA.
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Fundamentals of Intelligent Driving

 21 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

  • Explicar los conceptos y principios básicos de la IA y cómo se puede aplicar a la conducción.
  • Comprender la arquitectura y los componentes de los sistemas de conducción inteligentes.
  • Cree y visualice un modelo de conducción compuesto de diferentes disciplinas de diseño.
  • Comunique y anote los problemas y comentarios dentro del modelo.
  • Realice la detección y resolución de conflictos entre escenarios de conducción.
  • Simule y controle los horarios y costos de conducción.
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Intelligent Testing

 14 horas

Esta capacitación en vivo dirigida por un instructor en Venezuela (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

  • Automatice la generación y parametrización de pruebas unitarias con IA.
  • Aplique el aprendizaje automático en un caso de uso del mundo real.
  • Automatiza la generación y el mantenimiento de las pruebas de API con IA.
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Categorías Relacionadas

Image for Leonardo AI category
Leonardo AI
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Audiencia

[overview] =>

Leonardo AI es un potente generador de texto a imágenes impulsado por IA. Puede resultar beneficioso en diversos campos, incluidos el arte, el diseño, la publicidad y el entretenimiento.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a artistas digitales y entusiastas de la inteligencia artificial que deseen utilizar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a artistas digitales y entusiastas de la IA que deseen usar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introducción

Comprensión Leonardo AI

Empezar

Entrenamiento de sus propios modelos

Generación de imágenes con Leonardo AI

Comprender los retratos parlantes de IA

Creación de retratos parlantes de IA

Implementación de Leonardo AI en sus flujos de trabajo

Mejores prácticas y consideraciones éticas

Resumen y próximos pasos

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Audience

[overview] =>

AI-Augmented Software Engineering (AIASE) es la aplicación de la inteligencia artificial para mejorar y automatizar tareas dentro del proceso de ingeniería de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AIASE

AI Technologies in Software Development

Automating Software Development with AI

Enhancing Code Quality with AI

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

AI for Documentation and Knowledge Management

Ethical Considerations and Challenges

Hands-On Projects and Case Studies

Summary and Next Steps

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Audience

[overview] =>

Los asistentes de codificación de IA son herramientas diseñadas para mejorar la eficiencia y la creatividad de los desarrolladores de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AI Coding Assistants

Technologies Behind AI Coding Assistants

Popular AI Coding Assistant Tools

Best Practices and Workflow Integration

Case Studies and Real-World Applications

Ethical Considerations and Responsible Use

Project Work

Summary and Next Steps

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None

[overview] =>

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

[category_overview] => [outline] =>

Introduction to Data Science/AI

Data Science workflow

Data Science technologies

AI in Business

Data sources

Data Analysis – Statistical approach

Machine learning in business

Deep learning

Natural Language processing

Data visualization

From Data to Decision – communication

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Audience

[overview] =>

La inteligencia artificial (AI) es la inteligencia para las máquinas para realizar tareas específicas mediante el reconocimiento de patrones en los datos. AI permite a los usuarios hacerse el éxito de las campañas de marketing digital.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a los marketingers que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

AI in Digital Marketing

Content Curation and Creation

Google Cloud AI

SEO Optimization

Email Task Automation

Tracking and Reporting

Summary and Conclusion

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Audience

[overview] =>

Es la simulación de la inteligencia humana en las máquinas que están programadas para pensar y actuar como los humanos. Cubre una variedad de tecnologías, como el aprendizaje de máquina y el aprendizaje profundo, y se utiliza para diversas aplicaciones empresariales y corporativas para resolver los desafíos y necesidades de la organización.

Este entrenamiento dirigido por instructores, en vivo (online o on-site) está dirigido a los gerentes y líderes de negocios que desean aprender sobre los fundamentos de la inteligencia artificial y gestionar proyectos de inteligencia artificial para su organización.

Al final de esta formación, los participantes podrán entender la IA a nivel técnico y estratégizar utilizando los datos y los recursos de su organización para gestionar con éxito proyectos de IA.

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a gerentes y líderes empresariales que deseen aprender sobre los fundamentos de la inteligencia artificial y administrar proyectos de IA para su organización.

Al final de esta formación, los participantes serán capaces de entender la IA a nivel técnico y elaborar estrategias utilizando los datos y recursos de su organización para gestionar con éxito los proyectos de IA.

[outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Exploring Applications for AI

Learning About the Technology of AI

Assessing Strategic Approaches

Working With Data in Your Organization

Assessing AI Project Selection

Managing an AI Project

Gathering Feedback

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1711646495 [source_title] => Artificial Intelligence (AI) for Managers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiformanagers ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] =>

Robotics es un área de inteligencia artificial (AI) que se ocupa de la programación y el diseño de máquinas inteligentes y eficientes.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a ingenieros que desean programar y crear robots a través de métodos básicos de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

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Audience

[overview] =>

Artificial Intelligence (AI) es una rama de la informática que se centra en el desarrollo de máquinas inteligentes capaces de realizar tareas que normalmente requieren inteligencia humana y tiene como objetivo simular procesos cognitivos similares a los humanos.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo utilizarla de manera efectiva y responsable.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

[outline] =>

Introduction

Ethical Considerations and Future Trends in AI

Overview of the Uses of AI

Privacy Protection and Compliant use of AI

Summary and next steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037953 [source_title] => Introduction to Artificial Intelligence (AI) [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiintroduction ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 6 semanas se lleva a cabo 5 días por semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsfornuclear ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El código se cargará luego en hardware físico (Arduino o otro) para la prueba de implementación final. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Sobre el hardware

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. A continuación, el código se cargará en el hardware físico (Arduino u otro) para realizar las pruebas finales de implementación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_title] => AI and Robotics for Nuclear [source_language] => en [cert_code] => [weight] => 0.2 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsnuclear ) [aisoc_lbg] => stdClass Object ( [course_code] => aisoc_lbg [hr_nid] => 281710 [title] => AI en los negocios y la sociedad y el futuro de la IA - AI / Robótica [requirements] =>

No hay requisitos específicos necesarios para asistir a este curso.
 

[overview] =>

Esta es una sesión de capacitación basada en el aula en una presentación y formato de preguntas y respuestas
 

[category_overview] => [outline] =>

1. Introducción

2. Trabajo y automatización

3. Sesgo e inclusión

4. Derechos y libertades

5. Ética y gobernabilidad

6. Resumen de las cuestiones que se abordarán

7. El futuro y los desafíos de la IA

[language] => es [duration] => 7 [status] => published [changed] => 1700037416 [source_title] => AI in business and Society & The future of AI - AI/Robotics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => ) [cc] => aisoc_lbg ) [aitrism] => stdClass Object ( [course_code] => aitrism [hr_nid] => 477915 [title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [requirements] =>

Audience

[overview] =>

AI TRiSM es un campo emergente que aborda la necesidad de confiabilidad, gestión de riesgos y seguridad en los sistemas de IA.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Understanding AI TRiSM

Foundations of Trustworthy AI

Risk Management in AI

Security Aspects of AI

Compliance and Data Protection

AI Model Governance

Implementing AI TRiSM

Future of AI TRiSM

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aitrism ) [bingai] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] =>

Audience

[overview] =>

Bing AI es la integración de inteligencia artificial de Microsoft en su motor de búsqueda, Bing. Este curso proporciona una introducción a Bing AI y cómo aprovecha las tecnologías de AI para mejorar los resultados de búsqueda y las experiencias de los usuarios. Los participantes obtendrán información sobre las diversas características y funcionalidades impulsadas por IA disponibles en Bing, incluido Bing AI Chatbot.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que desean comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones. .

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding Bing AI

Getting Started

Bing AI Features and Functionalities

Bing AI Chatbot

Integrating Bing AI with SEO and Content Creation

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => bingai ) [ibmcloudpak] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] =>

Audience

[overview] =>

IBM Cloud Pak for Data es una plataforma de software multi-cloud para la recopilación, organización y análisis de datos para uso en la IA.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a científicos de datos que desean utilizar IBM Cloud Pak para preparar los datos para su uso en soluciones de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta formación en vivo dirigida por un instructor en <loc> (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Cloud Pac for Data Features and Architecture

Setting up Cloud Pac for Data

Setting up a Workflows

Collecting Data

Organizing Data

Preparing Data

Analyzing Data

Implementing an AI Solution

Integrating Cloud Data Pac with Other Services

Administering Cloud Data Pac

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037632 [source_title] => IBM Cloud Pak for Data [source_language] => en [cert_code] => [weight] => -982 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => ibmcloudpak ) [intelligentdriving] => stdClass Object ( [course_code] => intelligentdriving [hr_nid] => 474087 [title] => Fundamentals of Intelligent Driving [requirements] =>

Audience

[overview] =>

La conducción inteligente es un tipo de conducción que utiliza la IA y la fusión de información multisensor para proporcionar orientación y comentarios a los conductores que desean conducir de forma segura y eficiente en entornos complejos y dinámicos.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding AI and Multi-Sensor Information Fusion

Driving Skills and Techniques

Driving Scenarios and Situations

Driving Performance and Evaluation

Driving Integration and Application

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1710178699 [source_title] => Fundamentals of Intelligent Driving [source_language] => en [cert_code] => [weight] => -1003 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => intelligentdriving ) [intelltest] => stdClass Object ( [course_code] => intelltest [hr_nid] => 327639 [title] => Intelligent Testing [requirements] =>

Audience

[overview] =>

Las pruebas de software son el proceso de evaluar la validez de la funcionalidad de una aplicación de software. La integración de la inteligencia artificial en el entorno de pruebas de software permite que el proceso se prome de IA, acelerando la creación, la ejecución y el mantenimiento de las pruebas.

Este instructor de formación en vivo (in situ o remoto) está dirigido a los probadores de software que desean tener un entorno de pruebas de software impulsado por IA.

Al final de esta formación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Day One:

Introduction

What is AI

Machine Learning

Deep Learning

Day Two:

Preparing the Development Environment

Unit Tests and Parameterization

API Test Generation

Selenium and Self-Healing

Summary and Conclusion

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Ejemplos y ejercicios

[mc] => [is_mt] => 1 [nid] => 456243 ) [451867] => Array ( [title] => Artificial Intelligence (AI) for Managers [rating] => 4 [delegate_and_company] => Jose Victor - si [body] =>

Toda la información presentada

[mc] => [is_mt] => 1 [nid] => 451867 ) ) [7] => 4.5 [8] => 1 [9] => 1 [10] => ) ) [7] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [8] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [9] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [10] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "devel_domain" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "devel_domain" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7.module [line] => 99 [function] => variable_get [args] => Array ( [0] => devel_domain [1] => ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7_block.inc [line] => 34 [function] => islc_get_site_list [args] => Array ( ) ) [3] => Array ( [file] => /apps/nobleprog-website/nptemplates/default.php [line] => 265 [function] => islc7_sites_links_array_v3 [args] => Array ( ) ) [4] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 85 [args] => Array ( [0] => /apps/nobleprog-website/nptemplates/default.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 31 [function] => course_render [args] => Array ( [0] => Array ( [course_code] => leonardoai [hr_nid] => 442127 [title] => Leonardo AI: Creating AI Images and Talking Portraits [requirements] =>

Audiencia

[overview] =>

Leonardo AI es un potente generador de texto a imágenes impulsado por IA. Puede resultar beneficioso en diversos campos, incluidos el arte, el diseño, la publicidad y el entretenimiento.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a artistas digitales y entusiastas de la inteligencia artificial que deseen utilizar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a artistas digitales y entusiastas de la IA que deseen usar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introducción

Comprensión Leonardo AI

Empezar

Entrenamiento de sus propios modelos

Generación de imágenes con Leonardo AI

Comprender los retratos parlantes de IA

Creación de retratos parlantes de IA

Implementación de Leonardo AI en sus flujos de trabajo

Mejores prácticas y consideraciones éticas

Resumen y próximos pasos

[language] => es [duration] => 14 [status] => published [changed] => 1700037955 [source_title] => Leonardo AI: Creating AI Images and Talking Portraits [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 4739 [alias] => cursos-leonardo-ai [name] => Leonardo AI [english_name] => Leonardo AI [consulting_option] => available ) ) [2] => leonardoai [3] => Array ( [outlines] => Array ( [aiase] => stdClass Object ( [course_code] => aiase [hr_nid] => 478475 [title] => AI-Augmented Software Engineering (AIASE) [requirements] =>

Audience

[overview] =>

AI-Augmented Software Engineering (AIASE) es la aplicación de la inteligencia artificial para mejorar y automatizar tareas dentro del proceso de ingeniería de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AIASE

AI Technologies in Software Development

Automating Software Development with AI

Enhancing Code Quality with AI

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

AI for Documentation and Knowledge Management

Ethical Considerations and Challenges

Hands-On Projects and Case Studies

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1714661302 [source_title] => AI-Augmented Software Engineering (AIASE) [source_language] => en [cert_code] => [weight] => -1005 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiase ) [aicodingassistants] => stdClass Object ( [course_code] => aicodingassistants [hr_nid] => 478563 [title] => AI Coding Assistants: Enhancing Developer Productivity [requirements] =>

Audience

[overview] =>

Los asistentes de codificación de IA son herramientas diseñadas para mejorar la eficiencia y la creatividad de los desarrolladores de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AI Coding Assistants

Technologies Behind AI Coding Assistants

Popular AI Coding Assistant Tools

Best Practices and Workflow Integration

Case Studies and Real-World Applications

Ethical Considerations and Responsible Use

Project Work

Summary and Next Steps

[language] => en [duration] => 7 [status] => published [changed] => 1714660961 [source_title] => AI Coding Assistants: Enhancing Developer Productivity [source_language] => en [cert_code] => [weight] => -1006 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aicodingassistants ) [aidatascience] => stdClass Object ( [course_code] => aidatascience [hr_nid] => 330263 [title] => Introduction to Data Science and AI using Python [requirements] =>

None

[overview] =>

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

[category_overview] => [outline] =>

Introduction to Data Science/AI

Data Science workflow

Data Science technologies

AI in Business

Data sources

Data Analysis – Statistical approach

Machine learning in business

Deep learning

Natural Language processing

Data visualization

From Data to Decision – communication

[language] => en [duration] => 35 [status] => published [changed] => 1700037561 [source_title] => Introduction to Data Science and AI using Python [source_language] => en [cert_code] => [weight] => -985 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidatascience ) [aidm] => stdClass Object ( [course_code] => aidm [hr_nid] => 335719 [title] => AI in Digital Marketing [requirements] =>

Audience

[overview] =>

La inteligencia artificial (AI) es la inteligencia para las máquinas para realizar tareas específicas mediante el reconocimiento de patrones en los datos. AI permite a los usuarios hacerse el éxito de las campañas de marketing digital.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a los marketingers que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

AI in Digital Marketing

Content Curation and Creation

Google Cloud AI

SEO Optimization

Email Task Automation

Tracking and Reporting

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037602 [source_title] => AI in Digital Marketing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidm ) [aiformanagers] => stdClass Object ( [course_code] => aiformanagers [hr_nid] => 356467 [title] => Inteligencia Artificial (IA) para Directivos [requirements] =>

Audience

[overview] =>

Es la simulación de la inteligencia humana en las máquinas que están programadas para pensar y actuar como los humanos. Cubre una variedad de tecnologías, como el aprendizaje de máquina y el aprendizaje profundo, y se utiliza para diversas aplicaciones empresariales y corporativas para resolver los desafíos y necesidades de la organización.

Este entrenamiento dirigido por instructores, en vivo (online o on-site) está dirigido a los gerentes y líderes de negocios que desean aprender sobre los fundamentos de la inteligencia artificial y gestionar proyectos de inteligencia artificial para su organización.

Al final de esta formación, los participantes podrán entender la IA a nivel técnico y estratégizar utilizando los datos y los recursos de su organización para gestionar con éxito proyectos de IA.

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a gerentes y líderes empresariales que deseen aprender sobre los fundamentos de la inteligencia artificial y administrar proyectos de IA para su organización.

Al final de esta formación, los participantes serán capaces de entender la IA a nivel técnico y elaborar estrategias utilizando los datos y recursos de su organización para gestionar con éxito los proyectos de IA.

[outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Exploring Applications for AI

Learning About the Technology of AI

Assessing Strategic Approaches

Working With Data in Your Organization

Assessing AI Project Selection

Managing an AI Project

Gathering Feedback

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1711646495 [source_title] => Artificial Intelligence (AI) for Managers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiformanagers ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] =>

Robotics es un área de inteligencia artificial (AI) que se ocupa de la programación y el diseño de máquinas inteligentes y eficientes.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a ingenieros que desean programar y crear robots a través de métodos básicos de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_title] => Artificial Intelligence (AI) for Robotics [source_language] => en [cert_code] => [weight] => 0.1 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiforrobotics ) [aiintroduction] => stdClass Object ( [course_code] => aiintroduction [hr_nid] => 441615 [title] => Introduction to Artificial Intelligence (AI) [requirements] =>

Audience

[overview] =>

Artificial Intelligence (AI) es una rama de la informática que se centra en el desarrollo de máquinas inteligentes capaces de realizar tareas que normalmente requieren inteligencia humana y tiene como objetivo simular procesos cognitivos similares a los humanos.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo utilizarla de manera efectiva y responsable.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

[outline] =>

Introduction

Ethical Considerations and Future Trends in AI

Overview of the Uses of AI

Privacy Protection and Compliant use of AI

Summary and next steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037953 [source_title] => Introduction to Artificial Intelligence (AI) [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiintroduction ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 6 semanas se lleva a cabo 5 días por semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsfornuclear ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El código se cargará luego en hardware físico (Arduino o otro) para la prueba de implementación final. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Sobre el hardware

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. A continuación, el código se cargará en el hardware físico (Arduino u otro) para realizar las pruebas finales de implementación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_title] => AI and Robotics for Nuclear [source_language] => en [cert_code] => [weight] => 0.2 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsnuclear ) [aisoc_lbg] => stdClass Object ( [course_code] => aisoc_lbg [hr_nid] => 281710 [title] => AI en los negocios y la sociedad y el futuro de la IA - AI / Robótica [requirements] =>

No hay requisitos específicos necesarios para asistir a este curso.
 

[overview] =>

Esta es una sesión de capacitación basada en el aula en una presentación y formato de preguntas y respuestas
 

[category_overview] => [outline] =>

1. Introducción

2. Trabajo y automatización

3. Sesgo e inclusión

4. Derechos y libertades

5. Ética y gobernabilidad

6. Resumen de las cuestiones que se abordarán

7. El futuro y los desafíos de la IA

[language] => es [duration] => 7 [status] => published [changed] => 1700037416 [source_title] => AI in business and Society & The future of AI - AI/Robotics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => ) [cc] => aisoc_lbg ) [aitrism] => stdClass Object ( [course_code] => aitrism [hr_nid] => 477915 [title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [requirements] =>

Audience

[overview] =>

AI TRiSM es un campo emergente que aborda la necesidad de confiabilidad, gestión de riesgos y seguridad en los sistemas de IA.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Understanding AI TRiSM

Foundations of Trustworthy AI

Risk Management in AI

Security Aspects of AI

Compliance and Data Protection

AI Model Governance

Implementing AI TRiSM

Future of AI TRiSM

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aitrism ) [bingai] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] =>

Audience

[overview] =>

Bing AI es la integración de inteligencia artificial de Microsoft en su motor de búsqueda, Bing. Este curso proporciona una introducción a Bing AI y cómo aprovecha las tecnologías de AI para mejorar los resultados de búsqueda y las experiencias de los usuarios. Los participantes obtendrán información sobre las diversas características y funcionalidades impulsadas por IA disponibles en Bing, incluido Bing AI Chatbot.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que desean comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones. .

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding Bing AI

Getting Started

Bing AI Features and Functionalities

Bing AI Chatbot

Integrating Bing AI with SEO and Content Creation

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => bingai ) [ibmcloudpak] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] =>

Audience

[overview] =>

IBM Cloud Pak for Data es una plataforma de software multi-cloud para la recopilación, organización y análisis de datos para uso en la IA.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a científicos de datos que desean utilizar IBM Cloud Pak para preparar los datos para su uso en soluciones de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta formación en vivo dirigida por un instructor en <loc> (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Cloud Pac for Data Features and Architecture

Setting up Cloud Pac for Data

Setting up a Workflows

Collecting Data

Organizing Data

Preparing Data

Analyzing Data

Implementing an AI Solution

Integrating Cloud Data Pac with Other Services

Administering Cloud Data Pac

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037632 [source_title] => IBM Cloud Pak for Data [source_language] => en [cert_code] => [weight] => -982 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => ibmcloudpak ) [intelligentdriving] => stdClass Object ( [course_code] => intelligentdriving [hr_nid] => 474087 [title] => Fundamentals of Intelligent Driving [requirements] =>

Audience

[overview] =>

La conducción inteligente es un tipo de conducción que utiliza la IA y la fusión de información multisensor para proporcionar orientación y comentarios a los conductores que desean conducir de forma segura y eficiente en entornos complejos y dinámicos.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding AI and Multi-Sensor Information Fusion

Driving Skills and Techniques

Driving Scenarios and Situations

Driving Performance and Evaluation

Driving Integration and Application

Troubleshooting

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1710178699 [source_title] => Fundamentals of Intelligent Driving [source_language] => en [cert_code] => [weight] => -1003 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => intelligentdriving ) [intelltest] => stdClass Object ( [course_code] => intelltest [hr_nid] => 327639 [title] => Intelligent Testing [requirements] =>

Audience

[overview] =>

Las pruebas de software son el proceso de evaluar la validez de la funcionalidad de una aplicación de software. La integración de la inteligencia artificial en el entorno de pruebas de software permite que el proceso se prome de IA, acelerando la creación, la ejecución y el mantenimiento de las pruebas.

Este instructor de formación en vivo (in situ o remoto) está dirigido a los probadores de software que desean tener un entorno de pruebas de software impulsado por IA.

Al final de esta formación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Day One:

Introduction

What is AI

Machine Learning

Deep Learning

Day Two:

Preparing the Development Environment

Unit Tests and Parameterization

API Test Generation

Selenium and Self-Healing

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037553 [source_title] => Intelligent Testing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => intelltest ) ) [codes] => Array ( [0] => aiase [1] => aicodingassistants [2] => aidatascience [3] => aidm [4] => aiformanagers [5] => aiforrobotics [6] => aiintroduction [7] => airoboticsfornuclear [8] => airoboticsnuclear [9] => aisoc_lbg [10] => aitrism [11] => bingai [12] => ibmcloudpak [13] => intelligentdriving [14] => intelltest ) ) [4] => Array ( [regions] => Array ( [ve_1805] => Array ( [tid] => ve_1805 [title] => Caracas [sales_area] => ve_venezuela [venues] => Array ( [ve_10638169] => Array ( [vid] => ve_10638169 [title] => Caracas - Centro Lido [vfdc] => 250.00 [prices] => Array ( [1] => Array ( [remote guaranteed] => 3150 [classroom guaranteed] => 3650 [remote guaranteed per delegate] => 3150 [delegates] => 1 [adp] => 750 [classroom guaranteed per delegate] => 3650 ) [2] => Array ( [remote guaranteed] => 3900 [classroom guaranteed] => 4550 [remote guaranteed per delegate] => 1950 [delegates] => 2 [adp] => 750 [classroom guaranteed per delegate] => 2275 ) [3] => Array ( [remote guaranteed] => 4650 [classroom guaranteed] => 5451 [remote guaranteed per delegate] => 1550 [delegates] => 3 [adp] => 750 [classroom guaranteed per delegate] => 1817 ) [4] => Array ( [remote guaranteed] => 5400 [classroom guaranteed] => 6352 [remote guaranteed per delegate] => 1350 [delegates] => 4 [adp] => 750 [classroom guaranteed per delegate] => 1588 ) [5] => Array ( [remote guaranteed] => 6150 [classroom guaranteed] => 7250 [remote guaranteed per delegate] => 1230 [delegates] => 5 [adp] => 750 [classroom guaranteed per delegate] => 1450 ) [6] => Array ( [remote guaranteed] => 6900 [classroom guaranteed] => 8148 [remote guaranteed per delegate] => 1150 [delegates] => 6 [adp] => 750 [classroom guaranteed per delegate] => 1358 ) [7] => Array ( [remote guaranteed] => 7651 [classroom guaranteed] => 9051 [remote guaranteed per delegate] => 1093 [delegates] => 7 [adp] => 750 [classroom guaranteed per delegate] => 1293 ) [8] => Array ( [remote guaranteed] => 8400 [classroom guaranteed] => 9952 [remote guaranteed per delegate] => 1050 [delegates] => 8 [adp] => 750 [classroom guaranteed per delegate] => 1244 ) [9] => Array ( [remote guaranteed] => 9153 [classroom guaranteed] => 10854 [remote guaranteed per delegate] => 1017 [delegates] => 9 [adp] => 750 [classroom guaranteed per delegate] => 1206 ) [10] => Array ( [remote guaranteed] => 9900 [classroom guaranteed] => 11750 [remote guaranteed per delegate] => 990 [delegates] => 10 [adp] => 750 [classroom guaranteed per delegate] => 1175 ) ) ) ) ) ) [remote] => Array ( [1] => Array ( [remote guaranteed] => 3150 [remote guaranteed per delegate] => 3150 [adp] => 750 ) [2] => Array ( [remote guaranteed] => 3900 [remote guaranteed per delegate] => 1950 [adp] => 750 ) [3] => Array ( [remote guaranteed] => 4650 [remote guaranteed per delegate] => 1550 [adp] => 750 ) [4] => Array ( [remote guaranteed] => 5400 [remote guaranteed per delegate] => 1350 [adp] => 750 ) [5] => Array ( [remote guaranteed] => 6150 [remote guaranteed per delegate] => 1230 [adp] => 750 ) [6] => Array ( [remote guaranteed] => 6900 [remote guaranteed per delegate] => 1150 [adp] => 750 ) [7] => Array ( [remote guaranteed] => 7651 [remote guaranteed per delegate] => 1093 [adp] => 750 ) [8] => Array ( [remote guaranteed] => 8400 [remote guaranteed per delegate] => 1050 [adp] => 750 ) [9] => Array ( [remote guaranteed] => 9153 [remote guaranteed per delegate] => 1017 [adp] => 750 ) [10] => Array ( [remote guaranteed] => 9900 [remote guaranteed per delegate] => 990 [adp] => 750 ) ) [currency] => USD ) [5] => Array ( [0] => 5 [1] => 4 ) [6] => Array ( [456243] => Array ( [title] => Introduction to Data Science and AI using Python [rating] => 5 [delegate_and_company] => Kamil [body] =>

Ejemplos y ejercicios

[mc] => [is_mt] => 1 [nid] => 456243 ) [451867] => Array ( [title] => Artificial Intelligence (AI) for Managers [rating] => 4 [delegate_and_company] => Jose Victor - si [body] =>

Toda la información presentada

[mc] => [is_mt] => 1 [nid] => 451867 ) ) [7] => 4.5 [8] => 1 [9] => 1 [10] => ) ) [6] => Array ( [file] => /apps/nobleprog-website/core/routes.php [line] => 19 [function] => course_menu_callback [args] => Array ( [0] => /cc/leonardoai ) ) [7] => Array ( [file] => /apps/nobleprog-website/__index.php [line] => 100 [args] => Array ( [0] => /apps/nobleprog-website/core/routes.php ) [function] => require_once ) [8] => Array ( [file] => /apps/nobleprog-website/_index.php [line] => 26 [args] => Array ( [0] => /apps/nobleprog-website/__index.php ) [function] => include_once ) [9] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/nobleprog-website/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.ve/cc/leonardoai Undefined array key "nobleprog_site_production_url" /apps/nobleprog-website/includes/functions/new-modules-general-functions.php:82 Array ( [0] => Array ( [file] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [line] => 82 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined array key "nobleprog_site_production_url" [2] => /apps/nobleprog-website/includes/functions/new-modules-general-functions.php [3] => 82 ) ) [1] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7.module [line] => 131 [function] => variable_get [args] => Array ( [0] => nobleprog_site_production_url ) ) [2] => Array ( [file] => /apps/hitra7/drupal7/sites/all/modules/_custom/frontend/islc7/islc7_block.inc [line] => 44 [function] => islc_get_current_site [args] => Array ( ) ) [3] => Array ( [file] => /apps/nobleprog-website/nptemplates/default.php [line] => 265 [function] => islc7_sites_links_array_v3 [args] => Array ( ) ) [4] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 85 [args] => Array ( [0] => /apps/nobleprog-website/nptemplates/default.php ) [function] => require_once ) [5] => Array ( [file] => /apps/nobleprog-website/modules/course/course.php [line] => 31 [function] => course_render [args] => Array ( [0] => Array ( [course_code] => leonardoai [hr_nid] => 442127 [title] => Leonardo AI: Creating AI Images and Talking Portraits [requirements] =>

Audiencia

[overview] =>

Leonardo AI es un potente generador de texto a imágenes impulsado por IA. Puede resultar beneficioso en diversos campos, incluidos el arte, el diseño, la publicidad y el entretenimiento.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a artistas digitales y entusiastas de la inteligencia artificial que deseen utilizar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a artistas digitales y entusiastas de la IA que deseen usar Leonardo AI para crear contenido visual complejo y retratos parlantes realistas.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introducción

Comprensión Leonardo AI

Empezar

Entrenamiento de sus propios modelos

Generación de imágenes con Leonardo AI

Comprender los retratos parlantes de IA

Creación de retratos parlantes de IA

Implementación de Leonardo AI en sus flujos de trabajo

Mejores prácticas y consideraciones éticas

Resumen y próximos pasos

[language] => es [duration] => 14 [status] => published [changed] => 1700037955 [source_title] => Leonardo AI: Creating AI Images and Talking Portraits [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => 1 [field_course_outline] => 1 [field_prerequisits] => 1 [field_overview_in_category] => 1 ) ) [1] => Array ( [0] => stdClass Object ( [tid] => 4739 [alias] => cursos-leonardo-ai [name] => Leonardo AI [english_name] => Leonardo AI [consulting_option] => available ) ) [2] => leonardoai [3] => Array ( [outlines] => Array ( [aiase] => stdClass Object ( [course_code] => aiase [hr_nid] => 478475 [title] => AI-Augmented Software Engineering (AIASE) [requirements] =>

Audience

[overview] =>

AI-Augmented Software Engineering (AIASE) es la aplicación de la inteligencia artificial para mejorar y automatizar tareas dentro del proceso de ingeniería de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de software de nivel intermedio que deseen aprovechar la IA y el aprendizaje automático para mejorar la eficiencia y la innovación en el desarrollo de software.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AIASE

AI Technologies in Software Development

Automating Software Development with AI

Enhancing Code Quality with AI

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

AI for Documentation and Knowledge Management

Ethical Considerations and Challenges

Hands-On Projects and Case Studies

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1714661302 [source_title] => AI-Augmented Software Engineering (AIASE) [source_language] => en [cert_code] => [weight] => -1005 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiase ) [aicodingassistants] => stdClass Object ( [course_code] => aicodingassistants [hr_nid] => 478563 [title] => AI Coding Assistants: Enhancing Developer Productivity [requirements] =>

Audience

[overview] =>

Los asistentes de codificación de IA son herramientas diseñadas para mejorar la eficiencia y la creatividad de los desarrolladores de software.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores de software de nivel principiante a intermedio que deseen integrar asistentes de codificación de IA en su flujo de trabajo de desarrollo.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction to AI Coding Assistants

Technologies Behind AI Coding Assistants

Popular AI Coding Assistant Tools

Best Practices and Workflow Integration

Case Studies and Real-World Applications

Ethical Considerations and Responsible Use

Project Work

Summary and Next Steps

[language] => en [duration] => 7 [status] => published [changed] => 1714660961 [source_title] => AI Coding Assistants: Enhancing Developer Productivity [source_language] => en [cert_code] => [weight] => -1006 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aicodingassistants ) [aidatascience] => stdClass Object ( [course_code] => aidatascience [hr_nid] => 330263 [title] => Introduction to Data Science and AI using Python [requirements] =>

None

[overview] =>

Esta es una introducción de 5 días a Data Science y AI.

El curso se entrega con ejemplos y ejercicios con Python

[category_overview] => [outline] =>

Introduction to Data Science/AI

Data Science workflow

Data Science technologies

AI in Business

Data sources

Data Analysis – Statistical approach

Machine learning in business

Deep learning

Natural Language processing

Data visualization

From Data to Decision – communication

[language] => en [duration] => 35 [status] => published [changed] => 1700037561 [source_title] => Introduction to Data Science and AI using Python [source_language] => en [cert_code] => [weight] => -985 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidatascience ) [aidm] => stdClass Object ( [course_code] => aidm [hr_nid] => 335719 [title] => AI in Digital Marketing [requirements] =>

Audience

[overview] =>

La inteligencia artificial (AI) es la inteligencia para las máquinas para realizar tareas específicas mediante el reconocimiento de patrones en los datos. AI permite a los usuarios hacerse el éxito de las campañas de marketing digital.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a los marketingers que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing que desean utilizar la IA para mejorar las estrategias de marketing digital a través de valiosos conocimientos de los clientes.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

AI in Digital Marketing

Content Curation and Creation

Google Cloud AI

SEO Optimization

Email Task Automation

Tracking and Reporting

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037602 [source_title] => AI in Digital Marketing [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aidm ) [aiformanagers] => stdClass Object ( [course_code] => aiformanagers [hr_nid] => 356467 [title] => Inteligencia Artificial (IA) para Directivos [requirements] =>

Audience

[overview] =>

Es la simulación de la inteligencia humana en las máquinas que están programadas para pensar y actuar como los humanos. Cubre una variedad de tecnologías, como el aprendizaje de máquina y el aprendizaje profundo, y se utiliza para diversas aplicaciones empresariales y corporativas para resolver los desafíos y necesidades de la organización.

Este entrenamiento dirigido por instructores, en vivo (online o on-site) está dirigido a los gerentes y líderes de negocios que desean aprender sobre los fundamentos de la inteligencia artificial y gestionar proyectos de inteligencia artificial para su organización.

Al final de esta formación, los participantes podrán entender la IA a nivel técnico y estratégizar utilizando los datos y los recursos de su organización para gestionar con éxito proyectos de IA.

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a gerentes y líderes empresariales que deseen aprender sobre los fundamentos de la inteligencia artificial y administrar proyectos de IA para su organización.

Al final de esta formación, los participantes serán capaces de entender la IA a nivel técnico y elaborar estrategias utilizando los datos y recursos de su organización para gestionar con éxito los proyectos de IA.

[outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Exploring Applications for AI

Learning About the Technology of AI

Assessing Strategic Approaches

Working With Data in Your Organization

Assessing AI Project Selection

Managing an AI Project

Gathering Feedback

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1711646495 [source_title] => Artificial Intelligence (AI) for Managers [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiformanagers ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] =>

Robotics es un área de inteligencia artificial (AI) que se ocupa de la programación y el diseño de máquinas inteligentes y eficientes.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a ingenieros que desean programar y crear robots a través de métodos básicos de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a ingenieros que desean programar y crear robots a través de métodos básicos de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_title] => Artificial Intelligence (AI) for Robotics [source_language] => en [cert_code] => [weight] => 0.1 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiforrobotics ) [aiintroduction] => stdClass Object ( [course_code] => aiintroduction [hr_nid] => 441615 [title] => Introduction to Artificial Intelligence (AI) [requirements] =>

Audience

[overview] =>

Artificial Intelligence (AI) es una rama de la informática que se centra en el desarrollo de máquinas inteligentes capaces de realizar tareas que normalmente requieren inteligencia humana y tiene como objetivo simular procesos cognitivos similares a los humanos.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo utilizarla de manera efectiva y responsable.

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en el sitio o remota) está dirigida a profesionales que desean aprender y comprender el concepto de IA y cómo usarlo de manera efectiva y responsable.

Al final de esta capacitación, los participantes podrán:

[outline] =>

Introduction

Ethical Considerations and Future Trends in AI

Overview of the Uses of AI

Privacy Protection and Compliant use of AI

Summary and next steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037953 [source_title] => Introduction to Artificial Intelligence (AI) [source_language] => en [cert_code] => [weight] => -1002 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aiintroduction ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 6 semanas se lleva a cabo 5 días por semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 6 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_title] => AI and Robotics for Nuclear - Extended [source_language] => en [cert_code] => [weight] => 0.3 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => airoboticsfornuclear ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] =>

Robotics y Artificial Intelligence (AI) son poderosas herramientas para el desarrollo de sistemas de seguridad en instalaciones nucleares.

En este entrenamiento guiado por instructores, en vivo (online o on-site), los participantes aprenderán las diferentes tecnologías, marco y técnicas para la programación de diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas ambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día es de 4 horas y consiste en conferencias, discusiones y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán diversos proyectos del mundo real aplicables a su trabajo con el fin de practicar sus conocimientos adquiridos.

El hardware objetivo para este curso será simulado en 3D a través de software de simulación. El código se cargará luego en hardware físico (Arduino o otro) para la prueba de implementación final. El ROS (Robot Operating System) marco de código abierto, C++ y Python se utilizará para la programación de los robots.

Al final de este curso, los participantes podrán:

Formato del curso

Sobre el hardware

Opciones de Customización de Curso

[category_overview] =>

En esta formación en directo dirigida por un instructor en <loc> (online o presencial), los participantes aprenderán las diferentes tecnologías, marcos y técnicas para programar diferentes tipos de robots que se utilizarán en el campo de la tecnología nuclear y los sistemas medioambientales.

El curso de 4 semanas se lleva a cabo 5 días a la semana. Cada día tiene una duración de 4 horas y consiste en conferencias, debates y desarrollo práctico de robots en un entorno de laboratorio en vivo. Los participantes completarán varios proyectos del mundo real aplicables a su trabajo con el fin de poner en práctica los conocimientos adquiridos.

El hardware objetivo de este curso se simulará en 3D a través de un software de simulación. A continuación, el código se cargará en el hardware físico (Arduino u otro) para realizar las pruebas finales de implementación. Para la programación de los robots se utilizará el marco de código abierto ROS (Robot Operating System), C++ y Python.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

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No hay requisitos específicos necesarios para asistir a este curso.
 

[overview] =>

Esta es una sesión de capacitación basada en el aula en una presentación y formato de preguntas y respuestas
 

[category_overview] => [outline] =>

1. Introducción

2. Trabajo y automatización

3. Sesgo e inclusión

4. Derechos y libertades

5. Ética y gobernabilidad

6. Resumen de las cuestiones que se abordarán

7. El futuro y los desafíos de la IA

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Audience

[overview] =>

AI TRiSM es un campo emergente que aborda la necesidad de confiabilidad, gestión de riesgos y seguridad en los sistemas de IA.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a profesionales de TI de nivel principiante a intermedio que deseen comprender e implementar AI TRiSM en sus organizaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Understanding AI TRiSM

Foundations of Trustworthy AI

Risk Management in AI

Security Aspects of AI

Compliance and Data Protection

AI Model Governance

Implementing AI TRiSM

Future of AI TRiSM

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1713560667 [source_title] => Introduction to AI Trust, Risk, and Security Management (AI TRiSM) [source_language] => en [cert_code] => [weight] => -1004 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => aitrism ) [bingai] => stdClass Object ( [course_code] => bingai [hr_nid] => 438055 [title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [requirements] =>

Audience

[overview] =>

Bing AI es la integración de inteligencia artificial de Microsoft en su motor de búsqueda, Bing. Este curso proporciona una introducción a Bing AI y cómo aprovecha las tecnologías de AI para mejorar los resultados de búsqueda y las experiencias de los usuarios. Los participantes obtendrán información sobre las diversas características y funcionalidades impulsadas por IA disponibles en Bing, incluido Bing AI Chatbot.

Esta capacitación en vivo dirigida por un instructor (en el sitio o remota) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que desean comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones. .

Al finalizar esta capacitación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a especialistas en marketing digital, creadores de contenido y desarrolladores que deseen comprender el impacto de la IA en los motores de búsqueda, explorar las capacidades de Bing AI y aprender sobre las tecnologías de chatbot y sus aplicaciones.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding Bing AI

Getting Started

Bing AI Features and Functionalities

Bing AI Chatbot

Integrating Bing AI with SEO and Content Creation

Troubleshooting and Best Practices

Summary and Next Steps

[language] => en [duration] => 14 [status] => published [changed] => 1700037932 [source_title] => Introduction to Bing AI: Enhancing Search with Artificial Intelligence [source_language] => en [cert_code] => [weight] => -1001 [excluded_sites] => [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => ) [cc] => bingai ) [ibmcloudpak] => stdClass Object ( [course_code] => ibmcloudpak [hr_nid] => 341811 [title] => IBM Cloud Pak for Data [requirements] =>

Audience

[overview] =>

IBM Cloud Pak for Data es una plataforma de software multi-cloud para la recopilación, organización y análisis de datos para uso en la IA.

Este entrenamiento guiado por instructores, en vivo (online o on-site) está dirigido a científicos de datos que desean utilizar IBM Cloud Pak para preparar los datos para su uso en soluciones de inteligencia artificial.

Al final de este curso, los participantes podrán:

Formato del curso

Opciones de Customización de Curso

[category_overview] =>

Esta formación en vivo dirigida por un instructor en <loc> (en línea o in situ) está dirigida a científicos de datos que deseen utilizar IBM Cloud Pak para preparar datos para su uso en soluciones de IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Overview of Cloud Pac for Data Features and Architecture

Setting up Cloud Pac for Data

Setting up a Workflows

Collecting Data

Organizing Data

Preparing Data

Analyzing Data

Implementing an AI Solution

Integrating Cloud Data Pac with Other Services

Administering Cloud Data Pac

Troubleshooting

Summary and Conclusion

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Audience

[overview] =>

La conducción inteligente es un tipo de conducción que utiliza la IA y la fusión de información multisensor para proporcionar orientación y comentarios a los conductores que desean conducir de forma segura y eficiente en entornos complejos y dinámicos.

Esta capacitación en vivo dirigida por un instructor (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a desarrolladores y arquitectos de nivel principiante a intermedio que deseen aprender los fundamentos de la conducción inteligente y cómo aplicarlos a escenarios del mundo real.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Introduction

Understanding AI and Multi-Sensor Information Fusion

Driving Skills and Techniques

Driving Scenarios and Situations

Driving Performance and Evaluation

Driving Integration and Application

Troubleshooting

Summary and Next Steps

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Audience

[overview] =>

Las pruebas de software son el proceso de evaluar la validez de la funcionalidad de una aplicación de software. La integración de la inteligencia artificial en el entorno de pruebas de software permite que el proceso se prome de IA, acelerando la creación, la ejecución y el mantenimiento de las pruebas.

Este instructor de formación en vivo (in situ o remoto) está dirigido a los probadores de software que desean tener un entorno de pruebas de software impulsado por IA.

Al final de esta formación, los participantes podrán:

Formato del curso

Opciones de personalización del curso

[category_overview] =>

Esta capacitación en vivo dirigida por un instructor en <loc> (en línea o en el sitio) está dirigida a probadores de software que desean tener un entorno de prueba de software impulsado por IA.

Al final de esta capacitación, los participantes serán capaces de:

[outline] =>

Day One:

Introduction

What is AI

Machine Learning

Deep Learning

Day Two:

Preparing the Development Environment

Unit Tests and Parameterization

API Test Generation

Selenium and Self-Healing

Summary and Conclusion

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Ejemplos y ejercicios

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Toda la información presentada

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