{"id":95659,"date":"2024-10-11T18:12:24","date_gmt":"2024-10-11T18:12:24","guid":{"rendered":"https:\/\/business-staging.udemy.com\/learning-path\/genai-on-aws\/"},"modified":"2025-06-24T18:01:48","modified_gmt":"2025-06-24T18:01:48","slug":"genai-on-aws","status":"publish","type":"learning-path","link":"https:\/\/business-staging.udemy.com\/id\/learning-path\/genai-on-aws\/","title":{"rendered":"AI di AWS: LLM, Foundational Model & Agen"},"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-95659","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Kemahiran dalam layanan AWS GenAI (Bedrock, Q Developer, SageMaker)"},{"skill":"Perekayasaan dan optimalisasi prompt"},{"skill":"Retrieval-augmented generation (RAG)"},{"skill":"Pengembangan aplikasi AI multi-agen"},{"skill":"Penyempurnaan dan evaluasi model AI"},{"skill":"Integrasi database vektor"},{"skill":"MLOps dan praktik AI yang bertanggung jawab"},{"skill":"Keamanan, kepatuhan, dan tata kelola AWS"},{"skill":"Infrastructure as code (CDK, CloudFormation, Terraform)"},{"skill":"Pengalaman langsung dengan layanan AI yang dikelola AWS"}],"title":"AI di AWS: LLM, Foundational Model & Agen ","heading_paragraph":"

Jalur pembelajaran awal ini mencakup GenAI di AWS, termasuk Sertifikasi Certified AI Practitioner AWS, Amazon Q Developer, Amazon Bedrock, pengembangan aplikasi multiagen, dan Amazon SageMaker AI. Pembelajar memperoleh pengalaman langsung dengan layanan AI yang dikelola AWS, rekayasa prompt, RAG, penyempurnaan, database vektor, MLOps, dan membangun serta menerapkan solusi AI generatif menggunakan alat dan kerangka kerja AWS terdepan di industri.<\/p>\n","description_paragraph":"

Sasaran pembelajaran<\/h3>\n
    \n
  1. Mengembangkan kemahiran dalam layanan AWS GenAI: Mendapatkan pengalaman langsung dengan Amazon Bedrock, Amazon Q Developer, dan SageMaker untuk membangun, menyebarkan, dan mengelola aplikasi AI generatif.<\/li>\n
  2. Menguasai rekayasa perintah dan RAG: Mempelajari cara mengoptimalkan performa prompt, menerapkan retrieval-augmented generation, dan memanfaatkan basis pengetahuan untuk solusi AI tingkat lanjut.<\/li>\n
  3. Membangun dan menerapkan aplikasi AI multi-agen: Merancang, menerapkan, dan mengintegrasikan agen AI menggunakan Amazon Bedrock Agents dan CrewAI untuk kasus penggunaan bisnis di dunia nyata.<\/li>\n
  4. Memahami ekosistem dan keamanan AWS AI\/ML: Menjelajahi layanan AI yang dikelola AWS, model dasar, MLOps, kepatuhan, tata kelola, dan praktik terbaik keamanan untuk penerapan AI yang bertanggung jawab.<\/li>\n
  5. Persiapan untuk sertifikasi AWS AI: Mendapatkan pengetahuan dan skill praktis yang diperlukan untuk lulus ujian AWS Certified AI Practitioner dan memajukan karier Anda dalam AI berbasis cloud.<\/li>\n<\/ol>\n

    Target peserta<\/h3>\n

    Jalur ini dirancang untuk pengembang, ilmuwan data, teknisi cloud, dan profesional TI yang ingin menguasai AI generatif di AWS. Sangat cocok bagi mereka yang mempersiapkan sertifikasi AWS AI atau ingin membangun, menerapkan, dan mengelola aplikasi yang didukung AI menggunakan layanan AWS. Pengalaman sebelumnya dengan Python, komputasi cloud, atau konsep AI dasar akan membantu, tetapi tidak diwajibkan.<\/p>\n","category":"Profesional Teknis"},"yoast_head":"\nAI di AWS: LLM, Foundational Model & Agen - 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=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI di AWS: LLM, Foundational Model & Agen\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business-staging.udemy.com\/id\/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=\"2025-06-24T18:01:48+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\\\/id\\\/learning-path\\\/genai-on-aws\\\/\",\"url\":\"https:\\\/\\\/business-staging.udemy.com\\\/id\\\/learning-path\\\/genai-on-aws\\\/\",\"name\":\"AI di AWS: LLM, Foundational Model & Agen - 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