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CT-AI Exam Topics and Domains
How do I earn this certification?
Passing CT-AI earns the ISTQB Certified Tester - AI Testing certification. It sits in the AI Testing Specialist track.
- CTAL-TA - Certified Tester Advanced Level - Test AnalystDeepen testing analysis skills with AI focus
- CTAL-TTA - Certified Tester Advanced Level - Technical Test AnalystTechnical testing expertise for AI systems
- CTAL-TM - Certified Tester Advanced Level - Test ManagerManage AI testing projects and teams
- CT-TAE - Certified Tester - Test Automation EngineerCombine AI testing with automation expertise
- CT-MAT - Certified Tester - Mobile Application TestingApply AI testing to mobile applications
- CT-SEC - Certified Tester - Security Testing Focus on security aspects of AI systems (adversarial attacks)
- CT-AcT - Certified Tester - Acceptance Testing Acceptance testing for AI-based systems
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How to study for this exam?
The most effective way to prepare for CT-AI is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
- ACTIVE
- Last content update: 2021-10-01
- Announcement date: 2021-10-01
- Generative AI and LLMs Emerging New CT-GenAI certification released to address GenAI-specific testing • Release date: 2023-2025
- Explainable AI (XAI) Current focus area Chapter 2.7 and 8.6 cover transparency, interpretability, and explainability
- AI Ethics and Regulations Evolving Chapter 1.9 (Standards and Regulations) and Chapter 2.5 (Ethics) • Release date: 2021-2025
- MLOps and Continuous ML Industry practice Chapter 7.6 (Concept Drift) addresses continuous monitoring needs
Who should take this exam?
This exam is typically taken by Testers and Test Analysts.
- 6 months of experience in software testing
- Basic understanding of software development
- Familiarity with machine learning concepts (helpful but not required)