Overview
The ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification focuses on testing AI-based systems, including machine learning systems and generative AI systems such as large language models. It provides the knowledge required to design and execute tests for AI-based systems, addressing their specific characteristics, including probabilistic behavior, non-determinism, and reliance on data. It also introduces AI-specific quality characteristics relevant to testing AI-based systems.
The syllabus follows a lifecycle-based approach, including input data testing, model testing, and ML development testing, together with relevant test approaches for modern AI-based systems.
Note: The CT-AI v2.0 certification replaces CT-AI v1.0. Candidates interested in using generative AI to support testing activities should consider the ISTQB® Certified Tester Testing with Generative AI (CT-GenAI) certification, which focuses on the application of generative AI in the testing process.
Audience
The ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification is aimed at individuals involved in testing AI-based systems, including:
- Testers, test analysts, and test engineers
- Test managers
- Test consultants
- Data analysts and data scientists
- Software developers involved in developing AI-based systems
- User acceptance testers
It is also suitable for individuals seeking a general understanding of testing AI-based systems, such as:
- Project managers
- Quality managers
- Software development managers
- Business analysts
- IT directors and management consultants
The ISTQB ® Certified Tester Foundation Level (CTFL) is a prerequisite for the CT-AI v2.0 certification.
