Module 0: Course Introduction
- Course structure/schedule
- Five-phase learning journey
- Responsible AI foundational theme
Module 1: Responsible AI Foundations
- AI evolution: from traditional to generative
- Eight dimensions of responsible AI
- AWS commitment to responsible AI
Module 2: Introducing Generative AI
- Generative AI Foundation
- Foundation models and embeddings deep dive
- Amazon Bedrock and Amazon Nova 2 models
- Comparing models
Module 3: Multi-Modal AI and use cases
- Multimodal AI capabilities
- Industry applications and use cases
- Use case evaluation framework
Module 4: Essentials of prompt engineering
- Prompt engineering fundamentals
- Prompting strategies
- Prompt security and attach vectors
- Lab 1 - Optimizing Slogan Generation with Amazon Bedrock
Module 5: Implementing responsible AI with Amazon Bedrock Guardrails
- Amazon Bedrock guardrails overview and configuration
- Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 6: Introduction to Amazon Agents
- Agentic AI concepts
- Amazon Bedrock capabilities
- Amazon Bedrock AgentCore overview
- RAG and Knowledge Bases
Module 7: Introduction to Security, Governance, and Compliance
- From security principles to organizational accountability
- Governance frameworks
- Compliance requirements
Module 8: Implementing generative AI projects
- Project planning fundamentals
- Lab 3: Building an HR Assistant with Amazon Bedrock
Module 9: Summary
- Learning journey recap
- Next steps
