Course
Digicomp Code AWSEAI
Generative AI Essentials on AWS – Intensive Training («AWSEAI»)
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.
Duration
1 day
Price
900.–
Course documents
Digital original AWS courseware
Course facts
- Fundamentals of Generative AI & Use Cases – Introducing core concepts, methods, and business applicability
- Intro to Amazon Bedrock – A starter guide to the service and how it's positioned in AWS's GenAI stack
- Prompt Engineering Basics – Techniques and best practices for designing effective prompts
- Ethical & Responsible AI – Core principles to ensure safe, fair, compliant AI usage
- Planning & Implementing Generative AI Projects – Going from concept to organizational adoption (including project planning)
1 Introducing Generative AI
- Generative AI explained
- Foundation models
- AWS generative AI services
- Demo: Generative AI solution
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
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
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
5 Security, Governance, and Compliance
- Security overview
- Adverse prompts
- Generative AI security services
- Governance
- Compliance
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
7 Integrating Generative AI into the Development Lifecycle
- Introduction
- Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
8 Course Wrap-up
- Next steps and additional resources
- Course summary
- Developers new to Generative AI – to build foundational understanding before coding with Bedrock
- Solution & Cloud Architects – to see where GenAI fits into AWS architectures and governance models
- Product & Project Managers – to scope and plan GenAI-enabled initiatives
- Business Analysts & Marketing/Sales Professionals – to identify concrete use cases and customer-facing opportunities
- IT & Line-of-Business Managers – to evaluate adoption, security, and cost implications