ISTQB^® Certified Tester - Testing with Generative AI (CT-GenAI) 1.0 Training and Certification

The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) training course is aimed at professionals who want to understand, evaluate, and implement the use of artificial intelligence in software testing in a practical way. It is particularly aimed at software testers, test managers, QA managers, and automation and test analysts who want to specifically expand their existing test processes with generative AI (GenAI) and large language models (LLMs).

The training is also suitable for software developers, DevOps engineers, and IT and digital managers who want to integrate AI-supported testing approaches into modern development, delivery, and quality processes. Participants learn how AI can be used effectively in everyday testing and what professional, technical, and organizational requirements need to be taken into account.

The training is suitable for both professionals who are new to AI and experienced testers who want to expand their ISTQB expertise with future-oriented AI skills.

After completing the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) training course, you will have a sound and practical understanding of how generative artificial intelligence is used specifically in software testing. You will be able to apply large language models (LLMs) and AI-based testing tools effectively throughout the entire testing process and realistically assess their added value.

You know how test cases, acceptance criteria, and synthetic test data can be created and optimized using AI, and how prompt engineering can be used to increase the quality, traceability, and efficiency of test results. At the same time, you recognize the specific risks associated with the use of AI—such as hallucinations, bias, or data protection issues—and can derive appropriate measures to minimize these risks.

In addition, you will understand the fundamentals of LLM-based architectures and their use in test environments, and you will be able to integrate AI-supported test approaches into existing quality, development, and organizational structures. With this knowledge, you will be well prepared to use AI responsibly, effectively, and purposefully in software testing—in line with the requirements of the ISTQB and modern IT organizations.

This training course provides you with a structured and practical understanding of the use of generative artificial intelligence in software testing. It aims to familiarize you with the key concepts, methods, and applications of large language models (LLMs) and AI-based testing tools throughout the testing process.

You will learn how test cases, acceptance criteria, and test data can be created, analyzed, and optimized using AI, and how prompt engineering can be used specifically to improve the quality and efficiency of test results. In addition, the essential risks and special features of using AI in software testing will be covered, including topics such as hallucinations, bias, traceability, and data protection.

The training also provides you with a thorough overview of LLM-based architectures and infrastructures in the testing environment and shows how AI-supported testing approaches can be integrated into existing testing, development, and quality processes. The content taught is based on ISTQB guidelines and provides a solid foundation for the professional use of AI in software testing.

The prerequisite for participating in this training is the "Certified Tester Foundation Level" certificate in version v4.0 or an earlier version.