Generative AI is transforming the way organisations innovate, operate, and compete. Join our free, one-day Generative AI Essentials on AWS course and gain the knowledge and confidence to start using Generative AI responsibly in real business scenarios.
This expert-led course introduces the fundamentals of Generative AI, explores practical use cases across industries, and shows how AWS services like Amazon Bedrock can be applied to solve real-world problems.
Please note that there are only a limited number of spots on this course. This is a live event and no recording will be available post-event. Please only register if you are available to attend the live session.
Why Attend?
- Free of charge – 1 full-day course at no cost to you, for limited dates in 2026 only
- AWS-aligned training delivered by AI and cloud experts
- Practical, business-focused approach
- Hands-on demos and labs using real AWS Generative AI services
- Ideal starting point for non-technical and technical professionals
What You’ll Learn
- Summarise 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
- Recognise the types of generative AI solutions with specific use cases
- Explain implementation and project planning of generative AI to your organisation
Target Audience
This course is intended for those with limited prior knowledge of generative AI:
- Business analysts
- IT support
- Marketing professionals
- Product or project managers
- Line-of-business or IT managers
- Sales professionals
There are no pre-requisites for this course.
Course Outline
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: Optimising 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 modelImprove performance
- Evaluate results
- Deploy the application
- Demo: Amazon Q Business
Module 7: Integrating Generative AI into the Development Lifecycle
- Introduction
- Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
Module 8: Course Wrap-up
- Next steps and additional resources
- Course summary
Complete the form below to book your place. Please ensure you are available to attend this webinar on this specific date.
Complete the form below to book your place. Please ensure you are available to attend the course on this specific date.