{"id":95657,"date":"2024-10-11T18:12:22","date_gmt":"2024-10-11T18:12:22","guid":{"rendered":"https:\/\/business-staging.udemy.com\/learning-path\/genai-on-aws\/"},"modified":"2025-06-24T18:01:27","modified_gmt":"2025-06-24T18:01:27","slug":"genai-on-aws","status":"publish","type":"learning-path","link":"https:\/\/business-staging.udemy.com\/es-419\/learning-path\/genai-on-aws\/","title":{"rendered":"IA en AWS: LLM, modelos fundacionales y agentes"},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","jv_blocks_editor_width":"","_genesis_block_theme_hide_title":false},"class_list":["post-95657","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Dominio del servicio de IA generativa de AWS (Bedrock, Q Developer, SageMaker)"},{"skill":"Optimizaci\u00f3n e ingenier\u00eda de instrucciones"},{"skill":"Generaci\u00f3n mejorada de recuperaci\u00f3n (RAG)"},{"skill":"Desarrollo de aplicaciones de IA multiagente"},{"skill":"Perfeccionamiento y evaluaci\u00f3n de modelos de IA"},{"skill":"Integraci\u00f3n de bases de datos vectoriales"},{"skill":"Pr\u00e1cticas de IA responsables y MLOps"},{"skill":"Seguridad, conformidad y gobernanza de AWS"},{"skill":"Infraestructura como c\u00f3digo (CDK, CloudFormation, Terraform)"},{"skill":"Experiencia pr\u00e1ctica con los servicios de IA gestionados de AWS"}],"title":"IA en AWS: LLM, modelos fundacionales y agentes ","heading_paragraph":"

Esta v\u00eda de aprendizaje de inicio aborda la IA generativa en AWS, incluida la certificaci\u00f3n AWS Certified AI Practitioner, Amazon Q Developer, Amazon Bedrock, el desarrollo de aplicaciones multiagente y Amazon SageMaker AI. Los estudiantes adquieren experiencia pr\u00e1ctica con los servicios de IA gestionados de AWS, ingenier\u00eda r\u00e1pida, RAG, ajuste, bases de datos vectoriales, MLOps y creaci\u00f3n e implementaci\u00f3n de soluciones de IA generativa con herramientas y marcos de trabajo de AWS l\u00edderes en la industria.<\/p>\n","description_paragraph":"

Objetivos de aprendizaje<\/h3>\n
    \n
  1. Desarrollar habilidades en los servicios de IA generativa de AWS: obt\u00e9n experiencia pr\u00e1ctica con Amazon Bedrock, Amazon Q Developer y SageMaker para crear, implementar y administrar aplicaciones de IA generativa.<\/li>\n
  2. Dominar la ingenier\u00eda de instrucciones y RAG: aprende a optimizar el rendimiento de las instrucciones, implementar la generaci\u00f3n aumentada por recuperaci\u00f3n y aprovechar las bases de conocimiento para soluciones avanzadas de IA.<\/li>\n
  3. Crear e implementar aplicaciones de IA multiagente: dise\u00f1a, implementa e integra agentes de IA con Amazon Bedrock Agents y CrewAI para casos de uso empresarial del mundo real.<\/li>\n
  4. Comprender el ecosistema y la seguridad de IA\/ML de AWS: explora servicios de IA gestionados de AWS, modelos fundacionales, MLOps, conformidad, gobernanza y pr\u00e1cticas recomendadas de seguridad para una implementaci\u00f3n de IA responsable.<\/li>\n
  5. Prepararse para la certificaci\u00f3n en IA de AWS: adquiere los conocimientos y las habilidades pr\u00e1cticas necesarias para aprobar el examen AWS Certified AI Practitioner y avanzar en tu carrera profesional en la IA basada en la nube.<\/li>\n<\/ol>\n

    P\u00fablico objetivo<\/h3>\n

    Esta v\u00eda est\u00e1 dise\u00f1ada para desarrolladores, cient\u00edficos de datos, ingenieros de la nube y profesionales de tecnolog\u00eda de la informaci\u00f3n que deseen dominar la IA generativa en AWS. Es ideal para quienes se preparan para las certificaciones de IA de AWS o buscan crear, implementar y administrar aplicaciones impulsadas por IA utilizando los servicios de AWS. La experiencia previa con Python, la computaci\u00f3n en la nube o los conceptos b\u00e1sicos de IA son \u00fatiles, pero no necesarios.<\/p>\n","category":"Profesionales t\u00e9cnicos"},"yoast_head":"\nIA en AWS: LLM, modelos fundacionales y agentes - Udemy Business<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IA en AWS: LLM, modelos fundacionales y agentes\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business-staging.udemy.com\/es-419\/learning-path\/genai-on-aws\/\" \/>\n<meta property=\"og:site_name\" content=\"Udemy Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/udemy\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T18:01:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/business-staging.udemy.com\/wp-content\/uploads\/2023\/06\/udemy-business-organic-social-share-1200x630-refresh-2.png.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@udemy\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/business-staging.udemy.com\\\/es-419\\\/learning-path\\\/genai-on-aws\\\/\",\"url\":\"https:\\\/\\\/business-staging.udemy.com\\\/es-419\\\/learning-path\\\/genai-on-aws\\\/\",\"name\":\"IA en AWS: LLM, modelos fundacionales y agentes - 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