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

Overview Learning objectives What you'll learn Key facts Course syllabus FAQs What our customers say Get in touch

Course overview

This course prepares you for the ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) certification. You will learn how generative AI and large language models can support software testing activities, including prompt creation, test design support and risk awareness. The course focuses on practical application within software delivery environments to help improve consistency and efficiency in testing.

Practical generative AI skills for testers

Designed for professionals with ISTQB Foundation Level knowledge, the course explores how large language models can support test design, automation and reporting activities. You will learn techniques for creating effective prompts while understanding challenges such as inaccurate outputs, bias and data-related risks. Delivered over two days in a live virtual classroom environment, this course helps you develop knowledge that can support wider testing responsibilities and contribute to the adoption of AI-supported testing practices within delivery teams.

Learning objectives

Understand generative AI fundamentals
Apply prompt engineering techniques
Identify AI-related testing risks
Use LLMs across testing lifecycle
Support AI testing strategy development
Evaluate AI capabilities and limitations

What you'll learn

You will explore how generative AI can be applied across software testing, from requirements analysis to continuous improvement. This course introduces core concepts, prompting techniques and approaches for managing risks associated with generative AI in software testing, helping you use AI effectively while maintaining quality, security, and reliability in your testing processes. The course helps you develop technical skills that are increasingly being adopted within software testing environments.

Prompt engineering for testing

You will learn how to design effective prompts for large language models to support testing activities. This includes generating test cases, analysing requirements and improving test coverage. These skills can help improve efficiency when creating test assets and analysing testing information.

Managing generative AI risks

This section of the course focuses on identifying and addressing risks such as hallucinations, bias, privacy and security concerns. You’ll gain insight into mitigation strategies, helping you understand how to use generative AI within testing activities while managing quality, privacy and security considerations.

Applying AI across the lifecycle

You’ll explore how generative AI supports different stages of the testing lifecycle, including design, automation, and reporting. This topic explores how generative AI can support existing testing workflows, including faster content generation and improved visibility across testing activities.

Integrating AI into organisations

This area of the course covers how to deploy and integrate generative AI within test environments. You will understand how to contribute to organisational strategies, including considerations for implementation, governance and operational oversight within testing teams.

What's included

Accredited ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) training
ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) exam
All course materials
Further optional extras, including Pass Protect, available at checkout

Key facts

Certification

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

Who it’s for

This course is for testers, QA engineers, test leads, automation engineers and professionals involved in adopting generative AI within testing environments.

Prerequisites

You must hold the ISTQB Certified Tester Foundation Level (CTFL) certification before taking the exam.

Exam information

The exam is 60 minutes with 40 multiple-choice questions, closed book, with a pass mark of 65%. Candidates taking the exam in a non-native language are typically granted an additional 15 minutes (75 minutes total).

Optional extras

Pass Protect

Pre-course

No preparation work is required for this course.

Course syllabus

Dive into the detail of the course by looking at the syllabus below.

Introduction to generative AI 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 processes
- 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: operationalising GenAI

Deploying and integrating GenAI in test organisations
- Roadmap for adoption of GenAI
- Manage change when adopting GenAI

FAQs

This course covers how generative AI and large language models are applied across software testing, from prompt engineering to risk management and organisational integration. It also prepares you for the CT-GenAI certification, with guidance on entry requirements, exam structure, and applying these techniques within software testing environments.

What does the CT-GenAI certification cover?

The certification focuses on applying generative AI, including large language models, within software testing. It covers prompt engineering, risk mitigation such as bias and hallucinations, LLM-powered infrastructure, and approaches to adopting AI within testing organisations.

Who should take this course?

This course is suitable for testers, QA engineers, test leads, and automation engineers looking to apply generative AI in their work. It is also relevant for professionals responsible for evaluating or implementing AI-supported testing approaches.

What is the prerequisite for CT-GenAI?

You must hold the ISTQB Certified Tester Foundation Level (CTFL) certification before attempting the CT-GenAI exam. This ensures you have the required foundational knowledge in software testing.

What is the exam format?

The exam lasts 60 minutes, or 75 minutes for non-native language candidates. It includes 40 multiple-choice questions and is closed book. The pass mark is 65%, meaning you need to answer 26 questions correctly.

Is the certification valid forever?

Yes, the CT-GenAI certification has lifetime validity. Once achieved, it does not expire, allowing you to demonstrate your expertise in generative AI testing over the long term.

What our customers say

It was an intense course going through the modules quickly over two days, but did give a good insight into best practices Gen AI testing.