Certified Tester AI Testing


The ISTQB® Certified Tester AI Testing is aimed at people who want to expand their skills in testing AI-based systems and/or AI for testing. This includes individuals in positions such as testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers.

This certification aims to enhance and certify a fundamental understanding of testing AI-based systems and/or AI for testing.


  • Understand the current state and expected trends in AI
  • Experience the implementation and testing of an ML model and recognize where testers can best influence quality
  • Understand the challenges associated with testing AI-based systems, such as their self-learning capabilities, biases, ethics, complexity, non-determinism, transparency and explainability
  • Contributing to the test strategy for an AI-based system
  • Designing and executing test cases for AI-based systems
  • Recognize the specific requirements of the test infrastructure to support the testing of AI-based systems
  • Understand how AI can be used to support software testing


The duration of the examination is 60 minutes (40 multiple-choice questions), similar to the ISTQB® Foundation Level, and can be taken with or without prior training by the GTB-authorized certification bodies. The prerequisite for the exam is the existing ISTQB Certified Tester Foundation Level certificate.

Syllabi Certified Tester AI Testing Version Year
CT-AI_Lehrplanübersicht und Akkreditierungsrichtlinien_EN V1.0 2021
CT-AI_Syllabus_EN V1.0 2021
CT-AI_Lehrplanübersicht_DE V1.0 2022
CT-AI_Lehrplan_DE V1.0 2022
Sample Exams Certified Tester AI Testing Version Year
CT-AI Sample Exam Question SET A – DE V2.0 2023
CT-AI Sample Exam Answers SET A – DE V2.0 2023