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Hands-On Mini Lab

Bedrock Responsible AI Design Lab

Design-only lab is free. Invoking foundation models can create charges.

Goal

Reinforce Prompt risk, RAG grounding, Guardrails, Human review, Data handling through a small, inspectable activity.

Concepts Reinforced

  • Prompt risk
  • RAG grounding
  • Guardrails
  • Human review
  • Data handling

Prerequisites

  • No AWS account required for design-only path

Estimated Cost

Exact Steps

  1. Choose a realistic business assistant scenario.
  2. Classify prompt and response data sensitivity.
  3. Decide whether the assistant needs public model knowledge, internal documents, or both.
  4. Add guardrail categories, logging controls, and human-review triggers.
  5. Write acceptance tests for hallucination, unsafe output, and source-grounding failures.
Conceptual guardrail checklist
Block: regulated advice without reviewer | Mask: secrets and identifiers | Log: prompt metadata only | Review: low confidence or high impact

Verification

  • Sensitive data has an access and retention decision.
  • A high-impact answer path includes human review.
  • Grounded answers cite approved sources in the design.

Cleanup Steps

  • No cleanup for design-only path. Delete any test knowledge base, vector store, logs, or model invocation artifacts if created.

Sources and Review Metadata

This independent training application is not affiliated with or endorsed by Amazon Web Services. AWS, Amazon Web Services, and AWS certification names are trademarks of Amazon.com, Inc. or its affiliates.