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ISTQB® CT AI Testing

Logo - AI Testing
Duration:90 minutes
Extra Time:23 minutes
Languages:English, German
Questions:40
Passmark:65%
Validity: Lifetime
Format:Multiple choice
Requirements:
  • ISTQB CTFL Certificate

The AI Testing Curriculum equips professionals with the knowledge and techniques required to test AI-based systems and use AI to support testing activities. It is designed to address the unique challenges and quality aspects that arise when applying machine learning and artificial intelligence in software development.

The curriculum introduces fundamental concepts such as bias, ethics, transparency, and model performance, and covers specialized testing approaches like metamorphic testing, adversarial testing, and model validation techniques. It also demonstrates how AI can support traditional testing tasks such as test generation and classification.

This certification is ideal for professionals working in or entering fields such as software testing, data science, test management, or AI development.

Prior knowledge of AI or machine learning is helpful but not required. The CT-AI curriculum provides a balanced overview for both experienced testing professionals who want to expand their skills and individuals from data or development backgrounds seeking to understand testing in the context of AI.

The components of the Certified Tester – AI Testing are:

Prerequisites

ISTQB® Certified Tester – Foundation Level (CT‑FL) or British Computer Society (BCS) Certificate in Requirements Engineering

Exam Highlights

Exam Preparation

If you already hold the CT‑FL (Certified Tester Foundation Level) certificate, you are eligible to pursue the CT‑AI (Certified Tester – AI Testing) certification. The CT‑AI syllabus, sample questions, and study guides below support your exam preparation:

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