Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
書籍「AWS生成AIアプリ構築実践ガイド」で使用するサンプルコード
A smart, conversational interface for automotive part queries. Leverages Amazon Bedrock and OpenSearch to provide accurate part information, compatibility checks, and detailed responses. Streamlines the process of finding and verifying car parts for owners and mechanics.
30-day challenge: AWS (Chandana) + Agentic AI (Punith). Daily notes, working code, and the beginner-to-advanced gotchas tutorials skip — Lambda, IAM, RAG, MCP, Bedrock, LangChain, and more.
Reference sample: unified clinical workflow on Amazon Connect Health — provider workspace (ambient documentation, SOAP, medical codes, HealthLake write-back) plus care manager workspace (natural-language FHIR queries via Amazon Bedrock Agents). MIT-0.
AWS-first, human-in-the-loop FinOps platform — turns cloud cost insight into approval-gated action using Amazon Bedrock Agents, FastAPI, and Next.js 15.
An autonomous e-commerce diagnostic agent using Amazon Bedrock Agents and Action Groups. Diagnoses product sellability issues, reconciles data across Inventory, Pricing and PIM systems, and triggers self-healing synchronization via AWS Lambda and Serverless Framework.
Agente que responde no Slack sobre infraestrutura AWS. CI/CD com OIDC sem credenciais armazenadas.
The workshop is talking about Bedrock Multi-Agents and Foundation Model, GenAI on AWS at HUTECH University
Enterprise travel booking agent built with AWS Bedrock AI and serverless architecture
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