ISTQB

Certified Tester Testing with Generative AI

CT-GENAI

The ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) certification equips testing and quality-engineering professionals with the knowledge to apply Large Language Models (LLMs) and generative AI across the entire testing lifecycle. From prompt engineering and risk management to integrating AI-powered test infrastructure, this specialist credential prepares you to drive responsible, AI-assisted quality assurance in your organization.

Practice Free Questions

5Domains

31Objectives

186Practice pages

858Free questions

CT-GENAI free practice questions

Choose any objective and open any question page — no sign-in required.

Basics of Generative AI and LLMs

30 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30

Foundation, Instruction-Tuned and Reasoning LLMs

12 questions · 3 pages

Questions 1–5 6–10 11–12

Multimodal LLMs and Vision-Language Models

22 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–22

Key LLM Capabilities for Test Tasks

13 questions · 3 pages

Questions 1–5 6–10 11–13

AI Chatbots and LLM-Powered Testing Applications for Software Testing

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Structure of Prompts for Generative AI in Software Testing

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Core Prompting Techniques for Software Testing

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

System Prompt and User Prompt

21 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–21

Test Analysis with Generative AI

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Test Design and Test Implementation with Generative AI

31 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–31

Automated Regression Testing with Generative AI

36 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–36

Test Monitoring and Test Control with Generative AI

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

Metrics for Evaluating the Results of Generative AI on Test tasks

35 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35

Techniques for Evaluating and Iteratively Refining Prompts

31 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–31

Identify Hallucinations, Reasoning Errors and Biases in LLM Output

37 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–37

Mitigation of Non-Deterministic Behavior of LLMs

35 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35

Data Privacy and Security Risks Associated with Using Generative AI

33 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–33

The Impact of Using GenAI on Energy Consumption and CO2 Emissions

20 questions · 4 pages

Questions 1–5 6–10 11–15 16–20

AI Regulations, Standards and Frameworks Relevant to GenAI in Software Testing

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Key Architectural Components and Concepts of LLM-Powered Test Infrastructure

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

Retrieval-Augmented Generation

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

The Role of LLM-Powered Agents in Automating Test processes

33 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–33

Fine-Tuning LLMs for Test tasks

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

LLMOps when Deploying and Managing LLMs for Software Testing

36 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–36

Risks of Shadow AI

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Key Aspects of a Generative AI Strategy in Software Testing

29 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–29

Selecting LLMs/SLMs for Software Test Tasks

30 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30

Phases when Adopting Generative AI in Software Testing

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Essential Skills and Knowledge for Testing with Generative AI

36 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–36

Building Generative AI Capabilities in Test Teams

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

Evolving Test Processes in AI-Enabled Test organizations

34 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–34

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Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (31 objectives · 186 pages).

Certified Tester Testing with Generative AI

CT-GENAI free practice questions

Domain 1 · Introduction to Generative AI for Software Testing12% of practice bank · 5 objectives · 100 questions12%

Domain 2 · Prompt Engineering for Effective Software Testing30% of practice bank · 9 objectives · 254 questions30%

Domain 3 · Managing Risks of Generative AI in Software Testing18% of practice bank · 5 objectives · 151 questions18%

Domain 4 · LLM-Powered Test Infrastructure for Software Testing18% of practice bank · 5 objectives · 152 questions18%

Domain 5 · Deploying and Integrating Generative AI in Test organizations23% of practice bank · 7 objectives · 201 questions23%