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Integrate Amazon Bedrock with LangChain for building AI applications. Learn chains, memory, agents, and RAG patterns with Bedrock models.

Introduction to generative AI concepts and Amazon Bedrock. Learn about foundation models, available models (Claude, Titan, Llama), and core capabilities.

Implement responsible AI with Amazon Bedrock Guardrails. Learn content filtering, topic denial, PII handling, and safety controls for generative AI applications.

Evaluate and monitor generative AI models on Amazon Bedrock. Learn automatic evaluation, human evaluation, CloudWatch metrics, and performance optimization.

Learn text embeddings with Amazon Titan and vector storage options. Understand semantic search, vector databases, and building search applications.

Master Amazon Bedrock APIs including InvokeModel, Converse API, and streaming. Learn SDK setup, error handling, and practical implementation patterns.

Build autonomous AI agents with Amazon Bedrock. Learn action groups, Lambda integration, Knowledge Base connections, and the ReAct reasoning framework.

Implement advanced RAG patterns with Amazon Bedrock. Learn hybrid search, query rewriting, re-ranking, multi-step retrieval, and context optimization techniques.