A complete practical course to make you understand AI Testing with ISTQB exam readiness.Traditional software testing assumes predictable logic and fixed expected outputs. AI systems don’t work that way. They learn from data, evolve over time, behave probabilistically, and often operate as black boxes. This shift breaks many traditional testing assumptions. In this course, you will learn how to test AI-based systems the right way, using globally accepted ISTQB AI Testing (CT-AI) principles, explained clearly and practically for testers. This course starts by building strong foundations. You will first understand what AI really is, how AI-based systems differ from conventional software, and why new testing strategies are required. You’ll then learn machine learning fundamentals — supervised, unsupervised, and reinforcement learning — not as a data scientist, but from a tester’s mindset.