Module 6 Wrap-up: Shipping the API
Hands-on: Build a functional REST API with FastAPI that exposes multiple Bedrock models.
Hands-on: Build a functional REST API with FastAPI that exposes multiple Bedrock models.
Foundations of RAG. Why Knowledge Bases are the secret to building AI that 'knows' your private business data.
Slicing the Data. Understanding how Bedrock breaks docs into 'Chunks' and turns them into 'Vectors' of meaning.
Hands-on: Design your first Knowledge Base and select your chunking strategy.
The RAG APIs. Understanding the difference between raw retrieval and the fully managed 'Answer' API.
Proving the Answer. How to extract citations and references to show users exactly where the AI found its information.
Hands-on: Build a Python script that answers questions about your S3 documents and prints the citations.
Setting the Safety Net. How to use AWS Bedrock Guardrails to filter sensitive content and block inappropriate prompts.
Fighting the Hallucination. Advanced techniques to ensure the AI stays strictly within the retrieved documentation.
Hands-on: Implement a Bedrock Guardrail and verify your grounding instructions.