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.
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