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.

Content

ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI)

Introduction to GenAI for Software Testing

GenAI Foundations and Key Concepts

Leveraging GenAI in Software Testing: Core Principles

Prompt Engineering for Effective Software Testing

Effective Prompt Development

Applying Prompt Engineering Techniques

Evaluate GenAI Results and Refine Prompts

Managing Risks of GenAI in Software Testing
Process

Hallucinations, Reasoning Errors and Biases

Data Privacy and Security Risks

Energy Consumption and Environmental Impact of GenAI

AI Regulations, Standards and Best Practice Frameworks

LLM-Powered Solutions for Software Testing

Architectural Approaches for LLM-Powered Testing Solutions

Fine-Tuning and LLMOps: Operationalizing GenAI

Deploying and Integrating GenAI in Test Organizations

Roadmap for Adoption of GenAI

Manage Change when Adopting GenAI

Exam Structure

• No. of Questions: 40
• Passing Score: 30 (65%)

• Total Points: 46
• Exam Length (mins): 60 (+25% Non-Native Language)

Business Outcomes

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