Testing Generative AI Systems

This course equips professionals with the skills to test, evaluate, and govern generative AI systems in real-world conditions. Participants will learn how to move beyond traditional deterministic testing approaches and adopt new methods suited to probabilistic, evolving AI behaviour.Using practical examples, structured testing frameworks, red-teaming exercises, and hands-on evaluation activities, learners will explore why generative AI systems fail, how risks emerge over time, and how to design testing strategies that build confidence, safety, and trust, before and after deployment.By the end of the day, participants will have:A practical testing strategy for a real generative AI use caseA repeatable framework for evaluating quality, risk, and behaviour in GenAI systemsHands-on experience with red teaming and non-deterministic testing techniquesClear guidance on how to integrate GenAI testing into product and delivery lifecycles