Certification Certified Tester AI Testing (CT-AI)

Certified Tester AI Testing (CT-AI) focuses on testing systems that use artificial intelligence. This ISTQB pathway addresses verification challenges associated with behaviour that depends on data and models. It encourages examination of quality expectations, the limits of results and the conditions under which an AI system is evaluated, rather than treating a plausible response as proof of reliability.

Useful preparation can compare datasets, consider acceptance criteria and analyse variable outcomes. The aim is to make assumptions and risks visible so that checks can be directed appropriately. Reasoned evaluation of AI systems is a central learning objective. Training should be compared with the syllabus version and applicable prerequisites. This field is different from using AI to assist a tester: that second perspective is addressed notably by CT-GenAI and raises different control questions. Keeping the distinction clear helps learners select a path that matches their actual responsibilities.