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A generative AI simulation guides you from customer dialogue and AWS solution design to building and validating a loan-forms workflow in the live AWS Console.
Agents for Amazon Bedrockを使い、サンプルコードを動かしながら簡単なRAG実装と環境構築を学びます。
生成AIへの入力を改善し、LLMから望ましい回答を引き出すプロンプトエンジニアリングの基本と、Claude向けの応用技法を学ぶ。
AWSアカウント作成を題材に、最新情報を自ら調べて考える力と、初期の認証・権限設定を身につける基礎コース。
AWSの仕様を暗記するのではなく、認定情報や料金、責任共有モデルなどを自分で調べ、考える力を身につける基礎コース。
AWSアカウントの保護と、異常検出に役立つAWSセキュリティサービスを初心者向けに紹介する入門コース。
生成 AI の基本、技術的背景、業務ユースケース、利点とリスクを学び、AWS 活用への第一歩を踏み出す入門コース。
IT用語を解説しながら、AWSクラウドと主要サービスの基礎を非IT分野の学習者向けに学ぶ入門コース。
Aprenda técnicas de transformação de dados, incluindo limpeza, codificação e engenharia de atributos, usando serviços da AWS.
検索拡張生成(RAG)とファインチューニングを通じて、基盤モデルの性能を評価・最適化する方法を学びます。
Learn to design and manage secure, multi-tenant SaaS applications on AWS, including tenant isolation, metering, analytics, and storage.
Introduces the AWS machine learning lifecycle, from defining business problems and assessing feasibility to exploring SageMaker for building, training, and deploying models.
Aprenda a refinar modelos de machine learning com técnicas de regularização, ajuste de hiperparâmetros, redução de tamanho e controle de versões.
Aprenda a coletar, ingerir e armazenar dados para machine learning na AWS, escolhendo formatos e serviços conforme custo, desempenho e padrões de acesso.
Select AWS production and inference infrastructure for deploying machine learning models, from orchestration and hosting strategies to compute resources and edge optimization.
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