ISTQB CT-GenAI study guide
ISTQB CT-GenAI · Work through your exam, one topic at a time.
The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) is a Specialist-level certification that extends the Foundation Level. According to ISTQB®, it "provides testing and quality-engineering professionals with a structured, hands-on path to master how, when, and why to use Large Language Models (LLMs) and other generative-AI techniques across the entire test process – from requirements analysis and test design to automation, reporting, and continuous improvement." It is aimed at testers, test analysts, test engineers, automation engineers and quality-engineering practitioners who already hold foundation-level testing knowledge and now want to apply generative AI responsibly and effectively in daily test work. The ISTQB CT-GenAI study guide has 4 sections and about 1,292 words.
01Fundamentals of Generative AI for Testing
The Fundamentals domain checks whether you understand how generative AI produces test artifacts and why that changes test strategy. Generative models, especially large language models (LLMs), predict tokens probabilistically; they do not retrieve a stored answer.
350 words, about 2 min02Applying Generative AI to Test Analysis and Design
This domain covers using GenAI in test analysis and design: turning a test basis into test conditions, cases, data and coverage arguments. The exam tests prompt design for analysis, validation of generated artifacts, traceability and risk-based prioritization.
320 words, about 2 min03Applying Generative AI to Test Implementation, Automation and Execution
This domain covers GenAI for test implementation, automation and execution: generating or refactoring test code, locators, test data, mocks, and assisting failure triage. The exam tests whether you can use generated code safely in a pipeline.
313 words, about 2 min04Applying Generative AI to Test Reporting, Monitoring and Continuous Improvement
This domain covers GenAI in reporting, monitoring and continuous improvement: summarizing results, drafting defects, explaining metrics, detecting drift and feeding lessons back into the test process. The exam tests factual accuracy, governance and feedback loops.
309 words, about 2 min