The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) extends the Foundation Level and equips testing and quality-engineering professionals with knowledge and skills to apply Large Language Models (LLMs) and other generative-AI techniques across the entire test process – from requirements analysis and test design to automation, reporting, and continuous improvement. Furthermore it covers prompt engineering, multimodal LLMs, and LLM-powered test infrastructures, as well as guidance on organizational adoption of GenAI in testing.

In addition to the fundamentals of GenAI, practical knowledge through real-world prompt-engineering patterns and applied testing use cases is also built up.

Testers will learn how to integrate GenAI capabilities responsibly while managing key risks such as hallucinations, bias, security, privacy, and environmental impact.

How to get started now?
Once you have registered and purchased the course, it will be available for you for 6 weeks. During this time, you can determine the learning load and thus your learning progress. Each chapter can be repeated as often as necessary or individual passages can be accessed directly. And in parallel you can test your knowledge in our free sample exam!

Afterwards you are ready to take the ISTQB® Certified Tester – Testing with Generative AI exam, but please be reminded, you must hold the ISTQB® Certified Tester Foundation Level certification which is a prerequisites.  

Content

This specialist-level certification teaches you how to:

• Use GenAI tools and chatbots to support the entire testing process
• Design and apply effective prompts for real testing tasks
• Generate, refine, and evaluate test cases and test data with LLMs
• Manage risks like hallucinations, data privacy, and AI bias
• Integrate GenAI into test infrastructure and organizational strategy

Content in detail:

Chapter 0: Introduction

Chapter 1: Introduction to GenAI for Software Testing

• The tester learns basics of large language models (LLMs), including tokenization and multi-modal capabilities.
• The tester explores applications of Generative AI (GenAI) in software testing, distinguishing AI chatbot from LLM-powered test tools, and experimenting with tokenization, context windows, and multi-modal prompts.

Chapter 2: Prompt Engineering for Effective Software Testing

• The tester learns to craft effective, structured prompts for GenAI in software testing.
• The tester gains hands-on experience with prompt engineering techniques for software test tasks and applies them.

Chapter 3: Managing Risks of GenAI in Software Testing Process

• • The tester learns to identify and mitigate hallucinations, reasoning errors, and biases when testing with GenAI.
  • The tester learns to address data privacy and security issues of GenAI in software testing.
  • The tester learns energy consumption and environmental impact of GenAI in software testing.
  • The tester learns AI regulations, standards and best practices for ethical, transparent, and secure GenAI use in software testing.

Chapter 4: LLM-Powered Solutions for Software Testing

• • The tester explores GenAI architecture like Retrieval-Augmented Generation and GenAI agents.
  • The tester learns the process to fine-tune LLMs for software test tasks.
  • The tester learns Large Language Model Operations (LLMOps) concepts for deploying and managing LLMs in software testing

Chapter 5: Deploying and Integrating GenAI in Test Organizations

• • The tester learns a structured roadmap for integrating GenAI into test processes.
  • The tester learns organizational transformation for GenAI integration into test processes

You can download the ISTQB® Certified Tester – Testing with Generative AI syllabus here.

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.