Generative AI Essentials on AWS

In this course, you will learn to:

Summarize generative AI concepts, methods, and strategies

Discuss the appropriate use of generative AI and machine learning and their technologies

Describe how to use generative AI responsibly and safely

Recognize the types of generative AI solutions with specific use cases

Explain implementation and project planning of generative AI to your organization

Day 1

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

None

This course is intended for those with limited prior knowledge of generative AI:

- Business analysts

- IT supports

- Marketing professionals

- Product or project managers

- Line-of-business or IT managers

- Sales professionals