Amazon Web Services (AWS)
Generative AI Essentials on AWS
A one-day introduction to generative AI on AWS.
1 dayFoundation8 modulesAWS AI Practitioner Foundational
About this course
A one-day introduction to generative AI on AWS. You will learn the concepts and use cases, the essentials of prompt engineering, responsible AI, security and governance, and how to plan and run a generative AI project.
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
Curriculum
8 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
Who it's for
Technical and business professionals starting with generative AI.
Before you start
No formal prerequisites. Bring curiosity and a willingness to practise.
Prepares for
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