CTFL-AT retires on 6 May 2027 (EN) / 6 November 2027 (non-EN) with no grandfathering. Here is exactly what CTAL-AT v2.0 replaces, how the two exams differ, and when to make the switch.
The CTFL v4.0 syllabus has six chapters and 64 learning objectives, and the exam draws exactly 8, 6, 4, 11, 9 and 2 questions from them. Here is the official breakdown, the K-level split and how to study against it.
The four ISTQB black-box techniques — equivalence partitioning, boundary value analysis, decision tables and state transition testing — explained with worked examples.
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.
The ISTQB Foundation (CTFL v4.0) exam is 40 multiple-choice questions in 60 minutes, and you pass at 65% — 26 of 40. Here is exactly how the format, scoring and K-levels work.
Four weeks, hour by hour: the weekly rhythm that fits a working tester's evenings, the order I would learn the syllabus in, the preparation mistakes that cost people the exam, and how to read a mock result.
Everything you need to know about the ISTQB Foundation Level (CTFL v4.0) certification: what it is, the exam format, the six syllabus chapters, and how to prepare efficiently.