
Explore the ISTQB certified tester testing with generative AI exam through a syllabus-driven course that teaches testing large language models, generative AI, and practical exam strategies.
Explore ISTQB Chapter 5 mock questions on generative AI testing, including Shadoweye risks, LM selection criteria, adoption phases, and roles of testers and test managers.
This course is your complete guide to mastering Generative AI in software testing and preparing for the ISTQB Certified Tester – Testing with Generative AI certification. Designed for testers, QA leads, SDETs, and automation engineers, it breaks down complex AI concepts into practical, test-relevant applications.
You’ll start with the fundamentals of prompt engineering—learning how to design effective prompts using techniques like few-shot prompting, meta-prompting, and prompt chaining. From there, you’ll apply GenAI to real test tasks: writing test cases, analyzing requirements, automating regression scripts, generating test data, and monitoring test results using AI.
We’ll cover key risks like hallucinations, reasoning errors, bias, and privacy concerns, and show you how to evaluate and refine GenAI output using real-world metrics. You'll also explore LLM-powered test architectures, fine-tuning strategies, environmental impacts, and how to operationalize GenAI using LLMOps frameworks.
This course includes full-length mock exams, chapter-level quizzes, flashcards, visual notes, and detailed walkthroughs—fully aligned with the official ISTQB GenAI syllabus. You'll also get expert tips, certification guidance, and study planning help.
Whether you're aiming to certify or simply upskill, this course gives you both the knowledge to pass and the skills to implement AI confidently in real-world projects.
If you're serious about AI in testing, this is where your journey begins. Let's build your GenAI edge.