ISTQB CT-AI (Certified Tester AI Testing)
ISTQB CT-AI (Certified Tester AI Testing)

ISTQB CT-AI (Certified Tester AI Testing) — Syllabus & notes

  • Cheatsheet + revision sheet: key concepts in 2 lines each, common traps
  • Official points per chapter, 44 in all
  • Four metric formulas with worked matrices
  • 15 traps and a 20-question self-test
  • Red teaming: the five steps
  • Ten dataset constraints, each with an example
Page 1 free about 8 min read, Full kit about 1 h 20 min read

Exam overview

ISTQB® CT-AI certifies testing of AI-based systems (ML + generative AI/LLMs). Syllabus v2.0 is current; v1.0 English exams run until 21 Apr 2027 (non-English until 21 Oct 2027). Exam: 40 MCQs, 60 min, 44 points (pass 29 ≈ 66%). Higher K-level questions score >1 point; non-native speakers get +25% time. Prerequisite: CTFL. It covers the real challenges of AI testing—probabilistic behaviour, non-determinism, data dependence—across seven areas including quality characteristics (ISO/IEC 25059), input data testing, model testing and ML development testing. Aimed at testers, test managers, data scientists and developers. Delivered year-round by accredited providers (fee set locally, e.g. Indian Testing Board in India). Do not confuse with CT-GenAI (which is about *using* GenAI for testing).

Format
Computer-based (test centre or remotely proctored), delivered on demand year-round by accredited exam providers. No fixed national exam date.
Questions
40
Marking
40 questions worth 44 points in total — higher K-level questions carry more than one point. Pass mark 29 of 44 (approximately 66%). No negative marking.
Exam languages
English
Official exam website
Preparing with colleagues?Send this page to your ISTQB CT-AI group — the papers and guides are free to read.
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