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AWS Skill Builder is an Amazon-hosted platform for developers to create, manage and deploy Alexa skills. It provides a range of resources and tools to help you build your skills quickly and easily.
Learn how Amazon DevOps Guru uses machine learning and operational data to identify abnormal application behavior and improve AWS operations.
Secure AWS machine learning resources with IAM, network controls, SageMaker compliance features, and CI/CD security practices.
Concludes the AWS Machine Learning Engineer Associate curriculum with a review of concepts and guidance for continued learning.
学习在 AWS 环境中验证数据、缓解偏差并完成机器学习模型训练前的数据准备。
Learn to design dynamic inbound Amazon Connect routing for high contact volumes, fraudulent calls, emergency situations, and interrupted interactions.
AI、機械学習、深層学習、生成AIの関係を整理し、AWSサービスでの活用につなげる基礎コース。
Design, secure, and optimize cloud data warehouses with Amazon Redshift through hands-on serverless setup and data-ingestion labs.
Build and optimize secure streaming data pipelines on AWS with hands-on labs using Amazon Kinesis, Amazon MSK, and Managed Apache Flink.
AI、機械学習、生成AIが各業界のビジネス課題にどう活用され、いつ適さないかを学ぶ入門コース。
生成AI搭載アシスタントAmazon Qの目的、用途、安全かつ確実な生産性向上の可能性を紹介します。
生成AIアプリケーションのライフサイクルを通じて、基盤モデルの選択・カスタマイズ・評価・デプロイの基本を学びます。
Build and optimize a secure, scalable AWS data lake through guided architecture lessons and hands-on labs with Amazon S3 and Lake Formation.
Overview of AWS options for building generative AI applications with foundation models in Amazon SageMaker JumpStart, Bedrock, and SageMaker Canvas.
An introduction to responsible AI for generative AI, covering fairness, explainability, privacy, robustness, governance, transparency, and AWS tools.
Explore diffusion models for image generation, compare them with GANs, evaluate their use cases, and fine-tune pretrained models for specific tasks.
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