ISTQB®
Dan Bucureanu
ISTQB® Certified Tester AI Testing (CT-AI) Certification
- Permanent Certificate
- Online & Onsite
- Certified Training
AI-based systems bring new challenges to software quality and testing. This course teaches you how machine learning models work, which test methods suit non-deterministic systems, and how to assess data quality and bias in a structured way. By the end, you can test AI systems with confidence and are fully prepared for the official ISTQB® CT-AI exam.
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Dan Bucureanu
What the CT-AI Course Covers
AI is now a core part of modern software products. Systems powered by machine learning or deep learning behave probabilistically, learn from data, and change over time. That makes standard test methods insufficient on their own. Testing AI-based systems requires a dedicated set of approaches.
The ISTQB® Certified Tester AI Testing (CT-AI) is a specialist certification within the ISTQB scheme. The course teaches you how machine learning models are built and what challenges arise when systems learn, adapt, and produce non-deterministic outputs. You'll understand why data quality, bias, and transparency matter so much for AI quality assurance.
The focus is on hands-on test methods including Metamorphic Testing, A/B Testing, and Back-to-Back Testing. You'll also learn how to prepare test data for ML models, work with virtual test environments, and use AI tools to support your testing processes.
The course suits software testers, QA engineers, test managers, data analysts, and developers working with AI systems. Test automation specialists and quality managers will find it equally relevant. The ISTQB® Certified Tester Foundation Level (CTFL) is required as a prerequisite.
You can find all available ISTQB® courses and certifications on the ISTQB® overview page.
CT-AI Learning Objectives
- You can explain how machine learning models are structured and how they learn
- You can identify typical risks in testing AI systems, including bias, concept drift, and non-deterministic behaviour
- You can select appropriate test methods for ML systems, such as Metamorphic Testing or Back-to-Back Testing
- You can assess data quality and spot bias in training data
- You can develop test strategies for AI-based applications
- You can analyse quality characteristics of AI systems including transparency, robustness, and explainability
- You can use AI tools to support testing processes in a targeted way
CT-AI Course Content
The course follows the official ISTQB CT-AI syllabus and takes you from the fundamentals of machine learning through to concrete test methods and the use of AI in the testing process.
CT-AI Exam & Certificate
Upon completing the course, you receive the ISTQB® Certified Tester AI Testing (CT-AI) certificate at Specialist Level. The exam can be taken directly after the course or at a later date through an accredited exam provider, either online or in person.
The exam consists of 40 multiple-choice questions and lasts 60 minutes. The total available points are 47, with 31 points required to pass. Non-native speakers may request a 25% time extension. The exam is conducted in English.
Full details about the certification are available on the official ISTQB® page: ISTQB® CT-AI Certification
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