ISTQB CT-GenAI Exam Preparation

About this book

As an ISTQB Certified Tester, you need to reason like a tester when an LLM gives an uncertain answer, a RAG system retrieves the wrong evidence, an AI-generated test fails or an agent takes an unexpected action. The Second Edition (October 2026) is designed around that problem.

Aligned with the ISTQB CT-GenAI Syllabus v1.1, this 16-chapter guide combines syllabus coverage with scenario-based reasoning, practical testing examples and exam-focused assessment. It follows the complete GenAI testing journey, from prompt and input through the model to testing, evaluation and traceable evidence.

Coverage includes LLM foundations, tokens and context windows, multimodal models, prompt engineering, test analysis and design, automated regression testing, output evaluation, hallucinations, bias, privacy, security, RAG, AI agents, fine-tuning, LLMOps, model selection, cost management, governance and organisational adoption.

What changed in the Second Edition

• The CTFL prerequisite and updated certification context
• Richer treatment of multimodal and vision-language tasks
• GenAI-assisted test prioritisation using risks and dependencies
• Expanded regression testing with impact analysis, self-healing and adaptive tests
• Stronger hallucination detection, verification and mitigation
• Deeper RAG coverage, including relational versus vector databases, retrieval architecture and chunking
• A token-based cost comparison for model selection
• Guidance for test managers coordinating people, GenAI tools and AI agents in hybrid teams

Built for exam preparation

206 practice questions, including chapter-level scenario questions and a 40-question full mock exam, designed to test application and judgement rather than vocabulary recall.

Who it’s for

Testers, test automation engineers, test managers, quality engineers and AI practitioners preparing for CT-GenAI.