ISTQB Certified Tester AI Testing (CT-AI)
ISTQB CT-AI v2.0 is the latest released version of the ISTQB® Certified Tester AI Testing (CT-AI certification. Anyone who has been studying for CT-AI v1.0 can write the exam until the sunset dates (the 21 April 2027 for English, 21 October 2027 for non-English).
Navigate the Evolution of Software Testing in an AI-Driven World
As Artificial Intelligence reshapes the technology landscape, the demand for specialized testing expertise has never been higher. The ISTQB® Certified Tester AI Testing (CT-AI) v2.0 is the global standard for professionals looking to master the complexities of testing AI-based systems.
This certification provides the essential knowledge and hands-on skills required to design, implement, and execute comprehensive test strategies for modern AI, including Machine Learning (ML) and Generative AI (GenAI) systems like Large Language Models.
Exam Structure
Candidates qualify for extra time if they are not writing the exam in their native language. Extra time needs to be applied for upon completing the exam registration form.
Exam Price
R 2 900
Why Get Certified in ISTQB AI Testing?
The CT-AI v2.0 syllabus moves beyond conventional testing, addressing the unique challenges posed by AI, such as:
- Probabilistic Behavior & Non-Determinism: Learn to validate systems where outcomes are based on likelihoods rather than absolute certainty.
- Data-Centric Quality: Gain expertise in input data testing and model testing, ensuring your AI systems are built on high-quality, representative data.
- Modern AI Quality Standards: Understand and apply AI-specific quality characteristics as defined by international standards like ISO/IEC 25059.
- Hands-On Proficiency: This certification doesn’t just teach theory—it focuses on the practical application of testing machine learning models and simple neural networks.
Who is the ISTQB AI Testing Certification for?
This certification is a vital career step for:
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Testing Professionals: Testers, Test Analysts, Test Engineers, and Test Managers.
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Data & Dev Specialists: Data Analysts and Software Developers.
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Project Leadership: Project Managers, Quality Managers, and IT Directors seeking a foundational understanding of AI quality assurance.
Exam Entry Criteria
To be eligible for the ISTQB AI Testing exam, candidates should have passed an ISTQB Foundation exam and should hold an ISTQB Foundation (CTFL) certificate.
Download Documents
Download the documents below for more information about the syllabus, exam structure, and sample exam questions for the ISTQB Certified Tester AI Testing (CT-AI) certification.
Please note that these documents are intended for informational purposes only and should not be considered official study material. For effective exam preparation, SASTQB recommends using accredited training course material and attending an accredited training course.
Syllabus
Sample Exams
Exam Structures and Rules
FAQ’s About ISTQB AI Testing (CT-AI)?
Q: Does the CT-AI certification cover Generative AI?
ISTQB CT-AI v2.0 includes dedicated coverage of testing Generative AI (GenAI) systems and Large Language Models (LLMs), alongside Machine Learning systems. It teaches candidates how AI systems differ from traditional software and how these differences affect testing strategies.
Q: Is the CT-AI certification tool-specific?
No. The ISTQB CT-AI certification is completely vendor-neutral. It focuses on internationally recognised testing principles, techniques, and best practices that can be applied regardless of the AI platforms, frameworks, or tools used.
Q: Can I study for the CT-AI exam on my own?
Yes. You may prepare through self-study using the official ISTQB CT-AI syllabus and recommended references. However, SASTQB recommends attending training through an ISTQB Accredited Training Provider to ensure you receive comprehensive, syllabus-aligned preparation.
Q: What is the difference between ISTQB CT-AI and ISTQB CT-GenAI?
The ISTQB CT-AI certification focuses on testing AI-based systems, including Machine Learning models, neural networks, AI quality characteristics, model testing, input data testing, and testing Generative AI systems.
The CT-GenAI certification specifically focuses on using Generative AI and Large Language Models (LLMs) to support software testing activities, including prompt engineering, AI-assisted test design, and responsible AI adoption.
If you want to understand how to test AI systems, CT-AI is the appropriate certification. If you want to learn how to use Generative AI as a tester, CT-GenAI is the better choice.
Q: Can I take both CT-AI and CT-GenAI?
Yes. The two certifications complement each other.
– CT-AI teaches you how to test AI-powered software systems.
– CT-GenAI teaches you how to use Generative AI to improve your software testing activities.
Many professionals choose to complete both certifications to build a comprehensive understanding of AI in software testing.
Q: What certification should I take after CT-AI?
After earning the ISTQB Certified Tester AI Testing (CT-AI) certification, you can continue your ISTQB certification journey with Advanced Level, Agile, or other Specialist certifications, depending on your role and career goals.
