Book an exam
Menu

ISTQB Certified Tester · CT-GenAI

Testing with Generative AI

  • Questions40
  • Duration60 min
  • Pass mark65%

Overview

The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) extends the Foundation Level and provides testing and quality-engineering professionals with a structured, hands-on path to master how, when, and why to use Large Language Models (LLMs) and other generative-AI techniques across the entire test process - from requirements analysis and test design to automation, reporting, and continuous improvement.

It not only explains the fundamentals of GenAI but also builds practical skills through real-world prompt-engineering patterns and applied testing use cases. Testers will learn how to integrate GenAI capabilities responsibly while managing key risks such as hallucinations, bias, security, privacy, and environmental impact.

Audience

The qualification is intended for anyone involved in using generative AI for software testing, including testers, test analysts, test automation engineers, test managers, user-acceptance testers and software developers. It is equally valuable to professionals who need a solid understanding of GenAI in testing - project managers, quality managers, software development managers, business analysts, IT directors and consultants.

A candidate who has achieved the CT-GenAI certification should be able to:

  • Understand the fundamental concepts, capabilities, and limitations of generative AI
  • Develop practical skills in prompting large language models for software testing
  • Gain insight into the risks and mitigations of using generative AI for software testing
  • Gain insight into the applications of generative AI solutions for software testing
  • Contribute effectively to the definition and implementation of a generative AI strategy and roadmap for software testing within an organization

Testing with Generative AI Content

  1. Introduction to Generative AI for Software TestingGenerative AI Foundations and Key Concepts
    Leveraging Generative AI in Software Testing: Core Principles
  2. Prompt Engineering for Effective Software TestingEffective Prompt Development
    Applying Prompt Engineering Techniques to Software Test tasks
    Evaluate Generative AI Results and Refine Prompts for Software Test Tasks
  3. Managing Risks of Generative AI in Software TestingHallucinations, Reasoning Errors and Biases
    Data Privacy and Security Risks of Generative AI in Software Testing
    Energy Consumption and Environmental Impact of Generative AI for Software Testing
    AI Regulations, Standards and Best Practice Frameworks
  4. LLM-Powered Test Infrastructure for Software TestingArchitectural Approaches for LLM-Powered Test Infrastructure
    Fine-Tuning and LLMOps: Operationalizing Generative AI for Software Testing
  5. Deploying and Integrating Generative AI in Test organizationsRoadmap for Adoption of Generative AI in Software Testing
    Manage Change when Adopting Generative AI for Software Testing

Testing with Generative AI Exam Structure

The Specialist Level Testing with Generative AI certification exam is held in a digital form, as well as remotely(online) in English. The exam is comprised of 40 multiple choice questions, with a pass mark grade of 65% to be completed within 60 minutes. Participants that take the exam not in their spoken language, will receive additional 25% time, and will have 15 minutes more, or a total of 75 min.