Generative AI Essentials on AWS (GAIE)
placeUtrecht 9 apr. 2026Toon rooster event 9 april 2026, 09:00-17:00, Utrecht |
placeUtrecht 11 jun. 2026Toon rooster event 11 juni 2026, 09:00-17:00, Utrecht |
placeUtrecht 21 sep. 2026Toon rooster event 21 september 2026, 09:00-17:00, Utrecht |
placeUtrecht 23 nov. 2026Toon rooster event 23 november 2026, 09:00-17:00, Utrecht |
placeUtrecht 16 dec. 2026Toon rooster event 16 december 2026, 09:00-17:00, Utrecht |
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 solu...
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 parame…
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
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 solu...
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
Modul...
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
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
Fast Lane werkt met Nederlandse trainers die didactische vaardigheden combineren met veel practische ervaring.
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
