ISTQB CT-GenAI

ISTQB® describes it as "Certified Tester Specialist Level: Testing with Generative AI (CT-GenAI)" and states that it extends the Foundation Level. Expect Foundation Level testing knowledge as a baseline, with the generative-AI content going deeper into practical application than a foundation syllabus would.

ISTQB® frames it for "testing and quality-engineering professionals" who want a structured, hands-on path to using LLMs and other generative-AI techniques across the test process. Testers, test analysts, automation engineers and quality engineers who already work with requirements, test design and reporting are the natural audience.

Per ISTQB®, the scope runs "from requirements analysis and test design to automation, reporting, and continuous improvement." That means generative AI fundamentals, test analysis and design, test implementation, automation and execution, and reporting, monitoring and continuous improvement - in other words, the test process end to end.

ISTQB® announced on 27 April 2026 that it had "released version 1.1 of the Certified Tester Specialist Level: Testing with Generative AI (CT-GenAI) syllabus, a minor update to v1.0," with targeted corrections, terminology updates and minor clarifications. Check which version your exam provider examines against before you buy materials.

The source text does not publish question count, duration, pass mark or fee for CT-GenAI. Rather than rely on figures from other ISTQB® exams, confirm these details with your chosen exam provider, which ISTQB® lists through its "Find an Exam Provider" service.

Neither the fee nor the retake policy appears in the source text. Pricing and retake rules are set by exam providers rather than published on the certification overview page, so ask your provider directly and budget for a possible second attempt.

Start with the generative-AI fundamentals section so LLM capabilities and limits are clear, then move through test analysis and design, implementation and automation, and finally reporting and continuous improvement. Practise each section on your own requirements and test artefacts; the syllabus is explicitly hands-on, so reading alone is weak preparation.

Treating LLM output as correct without verification, and using generative AI where deterministic tooling is better. The syllabus emphasis on "how, when, and why" signals that judgement about applicability, plus review of generated artefacts, matters as much as knowing prompts. Also avoid studying from outdated v1.0-only material after the v1.1 update.

No. This is independent study material written for candidates searching this exam. It is not affiliated with, endorsed by or sponsored by ISTQB®. For authoritative syllabi, sample exams, accredited training providers and exam providers, use the official ISTQB® website.