ISTQB CT-AI v2.0 AI Testing Practice Exams | 240 Questions, 6 full mock exams on ML, GenAI, red teaming, input data and model testing, with detailed explanations for every option.
Course Description
Preparing for the ISTQB® Certified Tester AI Testing (CT-AI) exam? This course gives you 6 full-length practice exams with 240 original questions, written from the new CT-AI v2.0 syllabus.
Every exam follows the official CT-AI v2.0 exam structure: 40 questions, 60 minutes, and the same mix of learning objectives and K-levels as the real exam. You practice exactly what the exam tests, chapter by chapter.
What makes these practice tests different:
– Written for v2.0 – covers the updated syllabus content, including generative AI testing, red teaming, data pipeline testing, data representativeness, label correctness, statistical ML performance testing and deployment testing.
– Every option explained – you learn why the correct answer is right AND why each wrong option is wrong, so every mistake becomes a lesson.
– Syllabus references – each question shows its learning objective (for example AI-5.1.5) and K-level, so you know exactly what to review.
– Exam-style calculations – practice confusion matrix metrics (accuracy, precision, recall, F1), dataset constraint scenarios and metamorphic testing questions like the K3 questions in the real exam.
– 100% original questions – no copied or reworded official sample questions.
Topics covered across all 6 exams:
1. Introduction to Artificial Intelligence
2. Quality Characteristics for AI-Based Systems
3. Machine Learning
4. Testing AI-Based Systems
5. Input Data Testing for Machine Learning Systems
6. Model Testing for Machine Learning Systems
7. Machine Learning Development Testing
Important note about scoring: the real CT-AI exam is points-based (44 points in total; K3 questions are worth 2 points, and you need 29 points to pass). Udemy scores every question equally, so aim for at least 70–75% here to build a safe margin for exam day.
How to use this course: take each exam in timed conditions, review every explanation, revisit the syllabus sections you missed, and retake the exam until you consistently score above the pass mark.
Disclaimer: This course is not affiliated with, endorsed by, or sponsored by ISTQB®. ISTQB® is a registered trademark of the International Software Testing Qualifications Board.
Who this course is for:
- Software testers and QA engineers preparing for the ISTQB CT-AI v2.0 (AI Testing) certification exam
- CTFL-certified testers who want to move into testing AI-based and machine learning systems
- Test leads, developers and data professionals who need a structured way to check their understanding of AI testing concepts
- Candidates who studied the older CT-AI v1.0 syllabus and want practice aligned with the updated v2.0 content
