ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) Practice Exam
ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) Practice Exam
About the ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) Practice Exam
The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) is a specialist certification designed to help testing professionals confidently apply Generative AI (GenAI) and large language models (LLMs) throughout the software testing lifecycle. It builds on your foundational testing knowledge and equips you with practical skills in prompt engineering, risk management, AI- powered test infrastructure, and organizational integration of GenAI tools.
This globally recognized certification shows employers you can use AI effectively and responsibly in real testing scenarios, from generating test assets to designing strategies that handle the unique challenges of AI-driven systems.
Who should take this Certification?
CT-GenAI is aimed at a broad range of professionals in and around software quality:
- Testers and test analysts
- Test automation engineers and SDETs
- Test managers and QA leads
- User acceptance testers
- Software developers involved in quality assurance
- Project managers, quality managers, and business analysts
- IT directors and consultants involved in digital quality transformation
- Anyone working with or impacted by AI-enabled testing processes will benefit, whether you’re hands-on or in a leadership role.
Skills Gained
After preparing for and passing the CT-GenAI exam, you’ll be ready to:
- Understand the core concepts, capabilities, and limitations of Generative AI and LLMs in testing contexts.
- Apply prompt engineering techniques to support test analysis, test design, automation, regression testing, and monitoring.
- Evaluate and refine AI outputs using meaningful metrics and iterative prompting strategies.
- Identify key risks associated with GenAI — such as hallucinations, bias, data privacy issues, and non-deterministic behavior — and apply mitigation strategies.
- Explain LLM-powered test infrastructure concepts like retrieval-augmented generation (RAG), fine-tuning, and LLMOps for real testing workflows.
- Plan a roadmap for adopting and integrating GenAI into test organizations, addressing cultural, strategic, and process-level changes.
- These skills help you bridge traditional testing practices and the new possibilities opened up by advanced AI tools.
Exam Outline
The ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) Exam covers the following topics -
Domain 1. Introduction to Generative AI for Software Testing
- Types of AI (symbolic, classical machine learning, deep learning, GenAI)
- How large language models work and their core capabilities
- Key GenAI principles relevant to testing tasks
Domain 2. Prompt Engineering for Effective Software Testing
- Structured prompt creation and refinement strategies
- Differentiating system prompts vs. user prompts
- Applying AI tools for test analysis, design, automation, and monitoring
- Evaluating and refining AI results with measurable metrics
- Prompt engineering is critical for maximizing AI usefulness and producing reliable outputs.
Domain 3. Managing Risks of Generative AI in Software Testing
- Identify and analyze hallucinations, reasoning errors, and bias in AI outputs
- Understand data privacy and security challenges tied to GenAI in testing
- Explore energy consumption, environmental impact, and regulatory considerations
- Managing these risks is essential for responsible and secure AI testing.
Domain 4. LLM-Powered Test Infrastructure for Software Testing
- Key architectural components for AI-assisted testing environments
- Retrieval-augmented generation (RAG) concepts
- The role of AI agents and LLMOps in orchestrating test automation workflows
- Understanding fine-tuning and model customization for specific test tasks
- This helps you see where AI fits into real infrastructure, not just theory.
Domain 5. Deploying and Integrating Generative AI in Test Organizations
- A roadmap for adopting GenAI in testing teams
- Organizational change management and shift in responsibilities
- Selecting appropriate models and tools for your test context
- Continued learning and building AI-ready testing teams
- This section prepares you to contribute to strategic transformation, not just tactical execution.
Exam Format
- Exam Format: 40 multiple-choice questions
- Exam Duration: 60 minutes (with a 25% time extension for non-native English speakers)
- Pass Mark: 65%
- Delivery: Online remote proctored exam via iSQI FLEX or in-person at authorized centres
- Validity: The certification is lifetime, so no renewal is required once you pass
- Prerequisite: You must hold the ISTQB® Certified Tester Foundation Level (CTFL) certificate before sitting the CT-GenAI exam
Why This Certification Matters?
- Show you know how to use AI intelligently and responsibly in testing
- Improve test efficiency, creativity, and coverage with AI-assisted techniques
- Understand and manage AI-specific risks that can affect product quality
- Lead or participate in AI strategy definition within your organization
- It’s a forward-looking credential that brings practical value to test teams and organizations adopting AI-supported processes.
