How to test a machine learning model the ISTQB CT-AI way: check data quality, expose bias, and cover AI-specific quality characteristics — not just accuracy.
A tester-focused guide to precision, recall and F1 score: how to read a confusion matrix, when each metric matters, and why 94% accuracy can still be a bad model.
Where the study time for ISTQB CT-AI v2.0 really goes: the order to read the syllabus in, the CTFL habits that mislead you, how to drill ML metrics, and how to read a mock score.
ISTQB's Certified Tester AI Testing syllabus jumped to v2.0 in April 2026 — 11 chapters became 7, with new GenAI, LLM red teaming and dedicated data and model test levels. Here's every change and which version to sit.
Everything about the ISTQB CT-AI certification under the new v2.0 syllabus (2026): what it covers, the exam format, prerequisites, and how to prepare for testing ML and generative AI systems.