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Generative AI Essentials on AWS
Course Code: AW-GAI
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 the implementation of generative AI in your organization.
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
This course has no required pre-requisites skill requirements to attend.
After completing this course, students will be able 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 the implementation and project planning of generative AI to your organization.
This course will prepare delegates to write the Generatve AI Essentials on AWS exam.
Modules
- Generative AI explained
- Foundation models
- AWS generative AI services
- Demo: Generative AI solution
- Identify suitable use cases
- Generative AI applications and use cases
- Explore generative AI use case scenarios
- Use case for class
- Introduction to prompt engineering
- Prompt design best practices
- Advanced prompting strategies
- Model settings and parameters
- Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock
- Introduction to responsible AI
- Core dimensions of responsible AI
- Generative AI considerations
- Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails
- Security overview
- Adverse prompts
- Generative AI security services
- Governance
- Compliance
- Introduction – Generative AI application
- Define a use case
- Select a foundational model
- Improve performance
- Evaluate results
- Deploy the application
- Demo: Amazon Q Business
- Introduction
- Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
- Next steps and additional resources
- Course summary