Generative AI Essentials on AWS

Course Duration

1 day

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

No formal prerequisites. Familiarity with general IT concepts is helpful.

Course Description

In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.

Learning Objectives

• 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

Course Outline

Course Topics

• 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

Frequently Asked Questions