Generative AI Essentials on AWS (GK910027)

Module 1: Introducing Generative AI

• • Generative AI explained
• • Foundation models
• • AWS generative AI services
• • Demo: Generative AI solution

Module 2: Exploring Generative AI Use Cases

• • Identify suitable use cases
• • Generative AI applications and use cases
• • Explore generative AI use case scenarios
• • Use case for class

Module 3: Essentials of Prompt Engineering

• • Introduction to prompt engineering
• • Prompt design best practices
• • Advanced prompting strategies
• • Model settings and parameters
• • Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock

Module 4: Responsible AI Principles and Considerations

• • Introduction to responsible AI
• • Core dimensions of responsible AI
• • Generative AI considerations
• • Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails

Module 5: Security, Governance, and Compliance

• • Security overview
• • Adverse prompts
• • Generative AI security services
• • Governance
• • Compliance

Module 6: Implementing Generative AI Projects

• • Introduction – Generative AI application
• • Define a use case
• • Select a foundational model
• • Improve performance
• • Evaluate results
• • Deploy the application
• • Demo: Amazon Q Business

Module 7: Integrating Generative AI into the Development Lifecycle

• • Introduction
• • Hands-on Lab: Capstone – Creating a Project Plan with Generative AI

Module 8: Course Wrap-up

• • Next steps and additional resources
• • Course summary