aws-samples/amazon-bedrock-workshop resource

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2193 stars · 951 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A hands-on workshop of Jupyter Notebook labs for Amazon Bedrock, AWS's managed foundation model service. It covers text generation, RAG with Knowledge Bases, model customization/fine-tuning, agentic AI, and serving open-weight models via Bedrock APIs and SDKs.

Use cases

• learn how to use amazon bedrock apis
• hands-on labs for building rag with bedrock knowledge bases
• learn to build ai agents on aws
• fine-tune foundation models on bedrock
• summarization and code generation with foundation models
• self-paced generative ai workshop for developers
• deploy open-weight models with an openai-compatible endpoint

When to choose

• you are a developer or solution builder getting started with Amazon Bedrock
• you want guided, self-paced or instructor-led labs covering text generation, RAG, agents, and customization
• you want working notebook code using Bedrock SDKs and APIs

When to avoid

• you need production-ready application code rather than educational notebooks
• you use a non-AWS model provider or want provider-agnostic tutorials
• you need a finished product or library to import into your codebase

Facets

learning-resource · maturity active

machine-learning rag agent-framework llm-inference llm-training chatbot artificial-intelligence large-language-models cloud-computing tutorials python cloud self-hosted amazon-bedrock aws workshop jupyter-notebooks generative-ai foundation-models hands-on-labs fine-tuning knowledge-bases retrieval-augmented-generation ai-agents

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