In 2026, professionals prepare around jobs, families, and commutes. The LatestCram three-version ISTQB Certified Tester AI Testing package fits into real schedules — and keeps serving you with free updates for a year.
ISTQB CT-AI Exam Overview:
| Certification Vendor: | ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester - AI Testing Exam |
| Exam Number: | CT-AI |
| Available Languages: | French, Japanese, German, Chinese, Portuguese, English, Spanish, Korean |
| Certificate Validity Period: | Valid indefinitely (no expiration) |
| Real Exam Qty: | 40 |
| Exam Format: | Multiple-choice questions, 1-2 points per question |
| Exam Price: | €180 - €250 (varies by region and provider) |
| Passing Score: | 65% (29/44 points for v2.0; 31/47 points for v1.0) |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) ISTQB Certified Tester Testing with Generative AI (CT-GenAI) |
| Exam Duration: | 60 (75 for non-native language) |
| Recommended Training: | ISTQB Accredited Training Providers CT-AI Syllabus v2.0 |
| Exam Registration: | ISTQB Official Registration iSQI Exam Registration Pearson VUE |
| Sample Questions: |  |
| Exam Way: | Online remote proctored / Onsite test center |
| Pre Condition: | Must hold ISTQB Certified Tester Foundation Level (CTFL) certification |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai/ |
ISTQB CT-AI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Testing for Machine Learning Systems | 20% | - Metamorphic and statistical testing - Model performance and accuracy testing - Adversarial and robustness testing - Drift detection and monitoring - Explainability and transparency testing |
| Topic 2: Test Approaches and Techniques for AI Systems | 10% | - Risk-based testing - Test environment and tool considerations - A/B testing and back-to-back testing - Exploratory testing and red teaming |
| Topic 3: Test Levels and Machine Learning Systems | 15% | - Testing across ML lifecycle stages - Test strategies for AI projects - Unit, integration, system, and acceptance testing for ML |
| Topic 4: Introduction to Testing AI-Based Systems | 10% | - AI-specific quality characteristics - Challenges in testing AI-based systems - Characteristics of AI and ML systems |
| Topic 5: Testing Generative AI and Large Language Models | 15% | - Evaluation of generative AI outputs - Specific risks and test approaches for LLMs - Generative AI fundamentals |
| Topic 6: Machine Learning Development Testing | 10% | - Testing MLOps and deployment pipelines - Regression testing for retrained models - Testing ML development workflows |
| Topic 7: Input Data Testing for Machine Learning Systems | 20% | - Label verification and ground truth assessment - Data quality attributes - Validation of data pipelines and preprocessing - Testing for bias, representativeness, and completeness |
CT-AI Exam FAQ — Simulate, Schedule, Succeed on Your Terms
The official ISTQB Certified Tester AI Testing outline defines 7 domains. The leading three are Input Data Testing for Machine Learning Systems (20%), Machine Learning Development Testing (10%), and Introduction to Testing AI-Based Systems (10%). The full list is in the topics section above, and LatestCram's 162 practice questions cover each one.
Must hold ISTQB Certified Tester Foundation Level (CTFL) certification Since requirements change over time, confirm the latest on the official ISTQB exam page before scheduling.
Online remote proctored / Onsite test center Register for the ISTQB Certified Tester AI Testing exam through these official channels:
After booking, LatestCram delivers your practice questions within 1 minute — preparation starts the same day.
The CT-AI exam is a ISTQB certification exam validating the ISTQB Certified Tester AI Testing syllabus shown above. It belongs to these credential paths: ISTQB Certified Tester Foundation Level (CTFL), ISTQB Certified Tester Testing with Generative AI (CT-GenAI). Candidates in 2026 start with LatestCram's 162 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
The ISTQB Certified Tester AI Testing exam contains 40 to complete within 60 (75 for non-native language). Timed simulation in the LatestCram Desktop Test Engine teaches that rhythm before exam day does.
LatestCram issues a full refund if you take the ISTQB Certified Tester AI Testing exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
The ISTQB Certified Tester AI Testing exam requires 65% (29/44 points for v2.0; 31/47 points for v1.0) to pass, and registration costs €180 - €250 (varies by region and provider). A failed attempt means paying the same fee again — a readiness check with the LatestCram engines before booking is the cheaper option.
ISTQB recommends these training resources for the ISTQB Certified Tester AI Testing exam:
Follow the training with steady self-testing — the 162 practice questions from LatestCram help you apply theory and fill any gaps the training leaves.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 162 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
ISTQB Certified Tester AI Testing Sample Questions:
A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION
- A. I and II
- B. Only II
- C. Only III
- D. I and III
Correct Answer: A 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You are conducting a user acceptance test of a decision support recommendation system used in a data processing business. In addition to testing the functional performance of the recommendation systems, what else would you be MOST likely to test?
- A. The accuracy of the human decision when presented with an inaccurate recommendation
- B. The amount of system resources consumed by each recommendation
- C. The number of accurate recommendations per day
- D. The number of inaccurate recommendations per day
Correct Answer: A 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following is an example of overfitting?
- A. The model is missing relationships between the inputs and outputs
- B. The model is too simplistic for the data
- C. The model discards data it considers to be noise or outliers
- D. The model is not able to generalize to accommodate new types of data
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following describes the AI effect?
Choose ONE option (1 out of 4)
- A. The ability of AI to defeat a human, e.g., in chess
- B. The changing perception of what constitutes AI
- C. The fact that mankind can build intelligent machines
- D. The ability of AI to learn from data itself
Correct Answer: B 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
A robotic AI based system is being built by a logistics company to operate within its unmanned warehouses.
The warehouses can all be very different and new ones are being added each year. It is expected that the system will not require retraining for each warehouse, and will be able to learn the location of different items and move them to specified locations on request. Which ONE of the following attributes should be MOST carefully considered when specifying the objectives and acceptance criteria for the system?
- A. Explainability
- B. Ethics
- C. Inappropriate bias
- D. Adaptability
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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