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Certified Tester Testing with Generative AI (CT-GenAI)

Specialist v1.0
Generative AI brings new opportunities and risks to software testing, requiring testers to understand how AI systems behave, fail, and can be validated. This certification provides a structured introduction into testing applications that incorporate generative models, focusing on data quality, prompt reliability, model evaluation, and risk mitigation. It helps professionals understand the practical and ethical considerations of testing AI-driven systems.
Body

Audience
This certification is intended for professionals working with or around AI-enabled systems, including software testers, QA engineers, business analysts, developers, and product owners who must understand how generative AI models influence product behavior. It is valuable for those involved in designing test strategies for AI-based features, assessing model risks, validating output quality, and ensuring system accountability. The program is also suited for team leads, consultants, and technical managers who need to guide the use of AI within development teams and establish quality practices around AI-generated content. Individuals interested in emerging technologies or transitioning into AI-focused quality roles will also benefit from the insights offered by this certification.

Business Outcomes
- Evaluate generative output quality and reliability  
- Understand risks such as hallucination and misuse  
- Apply suitable techniques to validate GenAI behaviors  
- Support safe deployment and monitoring of GenAI systems 

Exam Structure at Glance

  • ✓ Prerequisite: CTFL
  • ✓ No. of Questions: 40
  • ✓ Passing Score: 65%
  • ✓ Total Points: 46
  • ✓ Exam Length (mins): 60

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Exam Structures and Rules