ISTQB CT-AI (Certified Tester AI Testing)
ISTQB® CT-AI certifies testing of AI-based systems (ML + generative AI/LLMs). Syllabus v2.0 is current; v1.0 English exams run until 21 Apr 2027 (non-English until 21 Oct 2027). Exam: 40 MCQs, 60 min, 44 points (pass 29 ≈ 66%). Higher K-level questions score >1 point; non-native speakers get +25% time. Prerequisite: CTFL. It covers the real challenges of AI testing—probabilistic behaviour, non-determinism, data dependence—across seven areas including quality characteristics (ISO/IEC 25059), input data testing, model testing and ML development testing. Aimed at testers, test managers, data scientists and developers. Delivered year-round by accredited providers (fee set locally, e.g. Indian Testing Board in India). Do not confuse with CT-GenAI (which is about *using* GenAI for testing).
Quizzes
10 questions · ~10 minutes · instant rank & AI diagnosis
Double-checked questions Real exam pattern 1 free test every month, then ₹49 per test
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ISTQB CT-AI — Introduction to AI I: AI-Based Systems, Narrow to Super AI, and Generative AI
Start hereInstant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Introduction to AI II: Hardware, Hosting, ML Frameworks and AI Regulation
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Quality Characteristics for AI-Based Systems: ISO/IEC 25059, Safety and Acceptance Criteria
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Machine Learning I: Forms of ML, the ML Workflow, Fine-Tuning and Datasets
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Machine Learning II: Functional Performance Metrics, Neural Networks and Coverage
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Testing AI-Based Systems I: Locked and Adaptive Systems, Test Oracles and Test Levels
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Testing AI-Based Systems II: Testing Generative AI and Red Teaming
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Input Data Testing: Bias, Data Pipelines, Representativeness, Constraints and Labels
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Model Testing I: Model Risks, Documentation Review, Statistical Performance Testing and Metamorphic Testing
Instant score, answer review and weak-topic diagnosis
ISTQB CT-AI — Model Testing II and ML Development Testing: Drift, Overfitting, A/B, Back-to-Back and Deployment
Instant score, answer review and weak-topic diagnosis
Guides
Explore resources
CT-AI v2.0 Study Plan: 19.5 Hours, Seven Chapters, by Points
ISTQB sets 1,170 training minutes for CT-AI v2.0. A four-week plan that spends them by exam points, the eight hands-on exercises you can skip for the exam, free official resources and a planner.
ISTQB CT-AI vs CT-GenAI: Testing AI, or Testing With AI?
CT-AI v2.0 dropped "using AI for testing"; ISTQB now sends that to CT-GenAI. Both exams side by side (44 vs 46 points), who each is for, same ITB fee, a fit checker, and a look-alike to avoid.
CT-AI K3 Questions: Confusion Matrix, Red Teaming, Metamorphic
The four apply-level objectives carry 8 of CT-AI v2.0's 44 points: metric formulas on the 0-100 scale, ten dataset constraint types, five red-teaming steps and metamorphic relations.
ISTQB CT-AI Fees in India 2026: Rs 7,000 + GST, Booked From Home
The Indian Testing Board's AI 2.0 ticket charges Rs 7,000 + 18% GST while its fee table still says Rs 6,300 — both shown. How the from-home exam is booked, what CTFL adds, and a cost calculator.
CT-AI v1.0 or v2.0? Deadline 21 April 2027, and Paying ITB
ISTQB says you need not switch if you are well into v1.0 (English exams run to 21 April 2027), but ITB's Townscript fee tickets closed on 29 September 2026. What changed, and a date checker.
ISTQB CT-AI v2.0 Exam Pattern: 40 Questions, 44 Points, Pass at 29
The official v2.0 blueprint chapter by chapter: questions, K-levels, points and the four 2-point K3 questions, the v1.0 pattern (47 points, pass 31) beside it, and a score calculator.
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Review what you missed. Write down the reason behind each correction.
- 3 min
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