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ISTQB Certified Tester – Testing with Generative AI (CT-GenAI)
Duration
2 Days
Course
T7-GI
Available Formats
Classroom Training, Online Training
Course Description
Overview
This course builds on the Foundation level to equip testing and quality engineering professionals with practical expertise in applying Large Language Models (LLMs) and generative AI across the entire testing lifecycle—from requirements analysis and test design to automation, reporting, and continuous improvement.The certification covers GenAI fundamentals and develops hands-on skills through real-world prompt engineering techniques and applied testing scenarios. You will learn to integrate GenAI responsibly while addressing critical risks such as hallucinations, bias, security, privacy, and environmental impact.
Exam
- The examination consists of a one-hour exam with 40 multiple-choice questions.
- It will be a ‘closed book’ exam – no notes or reference materials are allowed.
- Duration: 60 minutes (or 75 minutes for candidates taking the exam in a non-native language).
- Pass mark: 65% (26 out of 40 correct answers).
- The exam fee is included in the course price
Objectives
- 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 strategy and roadmap for software testing within an organization
Audience
It’s ideal for testers, QA engineers, test leads, automation engineers, and technical roles who want to adopt generative AI in their testing workflows. Also helpful for managers and decision-makers responsible for AI adoption in QA.
Prerequisites
-
Before taking the CT-GenAI exam, you must be certified ISTQB® Certified Tester Foundation Level (CTFL).
Topics
Syllabus – key points
- Introduction to Generative AI for Software Testing
- Prompt Engineering for Effective Software Testing
- Managing Risks of Generative AI in Software Testing
- LLM-Powered Test Infrastructure for Software Testing
- Deploying and Integrating Generative AI in Test Organizations
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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