Ct Ai
CT-AI
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98% Success Rate
Real Questions
What topics are on the CT-AI exam?
How do I earn the Ct Ai certification?
Official Pathway Guidance
Track: AI Testing Specialist
Prerequisites
Current Level
- CT-GenAICertified Tester - Testing with Generative AI
Alternative Paths
- CT-MATCertified Tester - Mobile Application Testing
- CT-SECCertified Tester - Security Testing
- CT-AcTCertified Tester - Acceptance Testing
Career Progression
Entry Roles
- AI Test Engineer
- ML Quality Assurance Analyst
- Data Quality Tester
- Junior AI Testing Specialist
Mid Level Roles
- Senior AI Test Engineer
- ML Testing Lead
- AI Quality Manager
- Test Automation Engineer (AI focus)
Advanced Roles
- AI Testing Architect
- Head of AI Quality Assurance
- AI Testing Consultant
- Director of ML/AI Testing
Certification Maintenance
- Recertification Options:No recertification requiredCertification does not expireRecommended to stay updated with new ISTQB releases (e.g., CT-GenAI)
How do I study for the CT-AI Exam?
Practice the Ct Ai with our Exam Simulator
Free practice questions, exam guides, and real exam‑style explanations in our Planet Cert simulator.
What's changed on this exam?
Technology Coverage
Generative AI and LLMsEmerging
New CT-GenAI certification released to address GenAI-specific testing
Released: 2023-2025Explainable AI (XAI)Current focus area
Chapter 2.7 and 8.6 cover transparency, interpretability, and explainability
AI Ethics and RegulationsEvolving
Chapter 1.9 (Standards and Regulations) and Chapter 2.5 (Ethics)
Released: 2021-2025MLOps and Continuous MLIndustry practice
Chapter 7.6 (Concept Drift) addresses continuous monitoring needs
Industry Trends
- Rapid adoption of AI/ML in enterprise applications increasing demand for specialized testing skills
- Generative AI explosion (ChatGPT, etc.) creating need for new testing approaches (CT-GenAI)
- Regulatory pressure (EU AI Act, GDPR) requiring rigorous AI testing and validation
- Growing awareness of AI bias and fairness requiring systematic testing approaches
- MLOps maturity driving need for automated AI testing in CI/CD pipelines
- Explainable AI requirements in regulated industries (healthcare, finance) creating testing opportunities
Who should take this exam?
Required Prerequisites
- Certification: ISTQB Certified Tester Foundation Level (CTFL); Exam Code: CTFL; Version: Any version; Mandatory: Yes
Recommended Experience
- 6 months of experience in software testing
- Basic understanding of software development
- Familiarity with machine learning concepts (helpful but not required)
Experience Level: Intermediate
How do I register & what's the exam fee?
| Exam Cost | $[object Object] USD |
| Testing Centers | Pearson VUE, Accredited Exam Providers |
| Online Proctoring | Available |
How long is the certification valid?
| Valid For | Lifetime (no expiration) |
| Recertification |
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