In Generative AI Essentials on AWS, you will gain a solid foundation in generative AI concepts, methods, and strategies. This will empower you to identify suitable use cases and leverage cutting-edge technologies to solve real-world problems.

Through hands-on labs, demonstrations, and group exercises, you'll master prompt engineering, explore responsible AI principles, and learn to implement generative AI projects securely. By the end of the course, you'll be equipped to discuss implementation strategies confidently, optimize slogan generation, create project plans using AI, and integrate generative AI into your organization's development lifecycle. Whether you're a business analyst, marketing professional, or IT manager, this course will transform your understanding of generative AI and its practical applications in today's business landscape.

This course includes presentations, hands-on labs, demonstrations, and group exercises.

Fundamental

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

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

We recommend that attendees of this course have:

• None