Audience
The qualification is intended for anyone involved in using generative AI for software testing, including testers, test analysts, test automation engineers, test managers, user-acceptance testers and software developers. It is equally valuable to professionals who need a solid understanding of GenAI in testing—project managers, quality managers, software development managers, business analysts, IT directors and consultants.
Content
The Certified Tester Testing with Generative AI Certificate exam will be based on this syllabus. Answers to exam questions may require the use of material based on more than one section of this syllabus. All sections of the syllabus are examinable, except for the Introduction, Hands-on objectives and Appendices. Standards, books and articles are included as references, but their content is not examinable, beyond what is summarized in the syllabus itself.
- Chapter 1: Introduction to Generative AI for Software Testing (100 minutes)
- Chapter 2: Prompt Engineering for Effective Software Testing (365 minutes)
- Chapter 3: Managing Risks of Generative AI in Software Testing (160 minutes)
- Chapter 4: LLM-Powered Test Infrastructure for Software Testing (110 minutes)
- Chapter 5: Deploying and Integrating Generative AI in Test organizations (80minutes)
Business Outcomes
A candidate who has achieved the CT-GenAI certification should be able to:
- Understand the fundamental concepts, capabilities, and limitations of generative AI.
- Develop practical skills in prompting large language models for software testing.
- Gain insight into the risks and mitigations of using generative AI for software testing.
- Gain insight into the applications of generative AI solutions for software testing.
- Contribute effectively to the definition and implementation of a generative AI strategyand roadmap for software testing within an organization.