Description
The ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) certification helps you stay ahead in a rapidly changing landscape. Whether you’re a hands-on tester, test manager, or tech lead, this certification proves you understand how to use AI safely, ethically, and effectively in software testing, and gives you the skills to do it.
Chapter 1: Introduction to Generative AI for Software Testing
- Get introduced to the core AI concepts that are transforming software testing. Learn what large language models (LLMs) are, how they work, and how they differ from traditional AI. Explore real-world capabilities of GenAI — from analyzing test cases to drafting acceptance criteria, and understand the growing role of multimodal models that handle both text and images.
Chapter 2: Prompt Engineering for Effective Software Testing
- Discover how to use GenAI throughout the test process. You'll learn hands-on prompt engineering techniques, such as few-shot and chain-of-thought prompting, and how to utilize GenAI to support test analysis, automation, regression testing, monitoring, and more. This chapter is packed with practical scenarios that demonstrate how to collaborate with AI to enhance test coverage and speed.
Chapter 3: Managing Risks of Generative AI in Software Testing
- Explore the risks of using GenAI in testing, from hallucinations and reasoning errors to data privacy and security concerns. Learn how to spot bias, mitigate non-deterministic behavior, and evaluate AI-generated outputs using meaningful metrics. You'll also gain awareness of sustainability and ethical frameworks in AI-assisted testing.
Chapter 4: LLM-Powered Test Infrastructure for Software Testing
- Peek under the hood of LLM-powered test infrastructure. Understand components such as Retrieval-Augmented Generation (RAG), fine-tuning models for specific test tasks, and utilizing LLMOps to manage AI deployments. You’ll also explore the role of autonomous AI agents that can execute test tasks with minimal supervision.
Chapter 5: Deploying and Integrating Generative AI in Test organizations
- AI won't replace testers, but testers who know how to work with AI will thrive. This chapter demonstrates how the adoption of GenAI alters test processes, redistributes responsibilities, and generates demand for new skills. Learn how to select the right models, avoid risks like shadow AI, and build a test team that’s ready for the future of AI-augmented quality assurance. Why Get Certified? The ISTQB CT-GenAI certification helps you stay ahead in a rapidly changing landscape. Whether you’re a hands-on tester, test manager, or tech lead, this certification proves you understand how to use AI safely, ethically, and effectively in software testing — and gives you the skills to do it.
Target Audience
The ISTQB CT-GenAI certification is especially valuable for:
- Software Testers and QA Engineers who want to integrate Generative AI tools (like ChatGPT or Copilot) into their testing workflows.
- Test Analysts and Test Automation Engineers seeking to enhance efficiency using AI-driven approaches for test generation, analysis, and monitoring.
- AI-savvy Developers and DevTest professionals interested in leveraging LLMs for quality assurance tasks.
- Agile Team Members who want to understand how GenAI can assist with user stories, acceptance criteria, and test coverage.
- Test Managers and QA Leads that are responsible for evaluating, selecting, and safely implementing AI tools within test organizations.
- Digital Transformation Specialists or Innovation Leads focused on modernizing software testing through emerging technologies.
- Anyone preparing for the future of AI-powered testing, especially those who already hold the ISTQB CTFL and want to specialize in this new domain.
Requirements
- Have successfully passed the ISTQB® CTFL Certification exam and hold the certificate.
- First experience in AI projects is recommended, but not required.
The global exam price vary depending on the certification and your geographical location.
