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CT-GenAI revision

CT-GenAI study guide — free revision notes

The complete ISTQB Certified Tester Testing with Generative AI (CT-GenAI) study library — 12 lessons mapped to every domain and topic in the official exam guide. Free to read, no account needed.

Lessons
12
across 5 domains
Reading time
3 hrs
174 minutes in total
Exam
40 Qs
60 min · pass 30 / 46 (65%)
Price
Free
no account required

Create a free account to track completed lessons, bookmark topics and see your exam readiness. · Pro lessons unlock with a one-time upgrade.

The CT-GenAI blueprint, domain by domain

ISTQB publishes exactly what the CT-GenAI tests and how much each part is worth. Here it is — every domain, its weight, the topics inside it, and the lessons that cover them.

Domain 1

Introduction to Generative AI for Software Testing

17%
of the exam

Types of AI, how large language models work (tokens, context windows, multimodal input), foundation vs instruction-tuned vs reasoning models, what LLMs can do for test tasks, and chatbots vs LLM-powered test tools. Official share: 7 of 40 exam questions.

2 topics in this domain
  • Generative AI Foundations and Key Concepts
  • Leveraging Generative AI in Software Testing: Core Principles
2 lessons · 29 min of reading · 74 practice questionsStart this domain
Domain 2

Prompt Engineering for Effective Software Testing

28%
of the exam

Prompt structure, core prompting techniques (chaining, few-shot, meta prompting), system vs user prompts, applying GenAI to test analysis, design, regression automation and monitoring, and evaluating and refining results. Official share: 11 of 40 exam questions, 16 of 46 points.

3 topics in this domain
  • Effective Prompt Development
  • Applying Prompt Engineering Techniques to Software Test Tasks
  • Evaluate Generative AI Results and Refine Prompts for Software Test Tasks
3 lessons · 50 min of reading · 114 practice questionsStart this domain
Domain 3

Managing Risks of Generative AI in Software Testing

25%
of the exam

Hallucinations, reasoning errors and biases and how to catch and mitigate them, non-deterministic output, data privacy and security risks, energy use, and the AI regulations, standards and frameworks that apply. Official share: 10 of 40 exam questions.

3 topics in this domain
  • Hallucinations, Reasoning Errors and Biases
  • Data Privacy and Security Risks of Generative AI in Software Testing
  • Energy Consumption, Regulations, Standards and Best Practice Frameworks
3 lessons · 40 min of reading · 104 practice questionsStart this domain
Domain 4

LLM-Powered Test Infrastructure for Software Testing

13%
of the exam

Architecture of LLM-powered test tools, Retrieval-Augmented Generation, LLM-powered agents that automate test processes, fine-tuning for test tasks, and LLMOps. Official share: 5 of 40 exam questions.

2 topics in this domain
  • Architectural Approaches for LLM-Powered Test Infrastructure
  • Fine-Tuning and LLMOps: Operationalizing Generative AI for Software Testing
2 lessons · 31 min of reading · 54 practice questionsStart this domain
Domain 5

Deploying and Integrating Generative AI in Test Organizations

17%
of the exam

Shadow AI, a GenAI strategy for testing, choosing LLMs/SLMs, recurring costs and adoption phases, and the skills, team practices and role changes that adoption brings. Official share: 7 of 40 exam questions.

2 topics in this domain
  • Roadmap for the Adoption of Generative AI in Software Testing
  • Manage Change when Adopting Generative AI for Software Testing
2 lessons · 24 min of reading · 70 practice questionsStart this domain

How to revise for the CT-GenAI

Reading every note front to back is the slowest way to pass. The exam is weighted, so your revision should be too — the blueprint above tells you exactly where the marks are.

Read in weight order, not page order

Prompt Engineering for Effective Software Testing carries the most marks on the CT-GenAI, so it earns the most of your attention. Work down the blueprint from the heaviest domain to the lightest rather than starting at domain 1 and grinding forward.

First pass for coverage, second pass for recall

Read each lesson once without stopping to memorise — you are building a map, not a memory. On the second pass, read only the "what's tested" and key-takeaway blocks. If a takeaway surprises you, that lesson goes back on the pile.

Turn takeaways into questions

Cover a lesson's key takeaways and try to say them out loud from the heading alone. Recall you can produce under your own steam is the only recall that survives a timed exam; recognition on a re-read is not the same thing.

Stop reading when practice, not the page count, says so

Finishing the notes is not the goal — scoring is. Move to CT-GenAI practice questions early, then come back to the exact lessons your wrong answers point at. That loop is worth far more than a third read-through.

Beyond the CT-GenAI notes

CT-GenAI cheat sheetEvery key takeaway from these notes on one page, grouped by domain. For the week of the exam.CT-GenAI flashcardsThe same key facts one at a time, answer hidden until you commit — recall practice rather than re-reading.CT-GenAI practice questions416 exam-realistic questions with an explanation on every option. Reading is not the same as knowing.CT-GenAI mock exams40 questions in 60 minutes, scored like the real thing. Sit one before you book.ISTQB Certified Tester Testing with Generative AI (CT-GenAI) (CT-GenAI) exam overviewExam facts, who it is for, cost and how it fits alongside the other certifications.

CT-GenAI revision notes: your questions

Yes. All 12 CT-GenAI lessons are readable in full without an account and without payment. Creating a free account adds progress tracking, bookmarks and a readiness score — it does not unlock extra reading.

Source

Exam structure, domain weights and scoring on this page come from the official CT-GenAI exam guide.