Course Overview
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.
This course includes presentations, hands-on labs, demonstrations, and group exercises.
What you’ll learn
- 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
Requirements
- No required prerequisites
Target audiences
- Business analysts
- IT supports
- Marketing professionals
- Product or project managers
- Line-of-business or IT managers
- Sales professionals
Curriculum
- 1 Section
- 8 Lessons
- 1 Day
Expand all sectionsCollapse all sections
- Topics8
- 1.1Module 1: Introducing Generative AI Generative AI explained Foundation models AWS generative AI services Demo: Generative AI solution
- 1.2Module 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
- 1.3Module 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
- 1.4Module 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
- 1.5Module 5: Security, Governance, and Compliance Security overview Adverse prompts Generative AI security services Governance Compliance
- 1.6Module 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
- 1.7Module 7: Integrating Generative AI into the Development Lifecycle Introduction Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
- 1.8Module 8: Course Wrap-up Next steps and additional resources Course summary
Instructor
