AI Courses in Software Testing: Which Course Is Right for You?

AI has truly entered the world of software testing and quality assurance. For many testers, test managers, QA leads, scrum masters and project managers, the question is no longer whether AI should be used in testing but how to use it correctly, responsibly and in a way that creates real value.

At TestHuset, we offer five AI courses that help you and your organisation understand, apply and quality assure AI in practice. The courses differ in level, purpose, target audience and focus area. Some focus on testing AI-based systems, others on using AI tools such as ChatGPT and Microsoft Copilot in the daily testing process, while others lead to an official ISTQB certification.

In this guide, you get a complete overview of our AI courses, making it easier to choose the course that best matches your needs.

Why Take an AI Course Focused on Testing?

AI can make many parts of the testing process more efficient. This includes creating and reviewing user stories, acceptance criteria, test cases, test strategies, reporting, risk assessment and test automation. However, AI also introduces new quality assurance requirements, as AI-based systems can be complex, self-learning and difficult to interpret.

Working with AI in software testing therefore requires technical understanding, testing expertise and practical experience in assessing, improving and using AI output responsibly.

At TestHuset, our AI courses are designed around different needs:

Do you want to understand how AI-based systems are tested?

Do you want to use AI tools in your daily testing process?

Do you want to work more strategically with AI in test management?

Do you want to obtain an official ISTQB certification?

Do you want to understand generative AI and LLMs in testing?

These different needs are exactly what determine which AI course you should choose.

Overview: How the 5 AI Courses Differ

Fundamentals of AI Testing is For Those Who Want to Understand Testing of AI-Based Systems

Fundamentals of AI Testing is the introductory course for those who want a general understanding of the methods and techniques used to test AI-based solutions. The course provides insight into artificial intelligence, machine learning, deep learning, testing of ML models, bias, ethics, explainability and the specific quality challenges that arise when testing AI systems.

The course is relevant if you want to understand how to quality assure AI solutions – not only how to use AI as a tool in testing. You will learn, among other things, how to contribute to the test strategy for an AI-based system, design test cases and understand requirements for test infrastructure.

Who Is the Course Relevant For?
The course is aimed at testers, QA engineers, test managers, data scientists, developers, project managers, scrum masters and product owners who want a broader understanding of AI and testing of AI-based systems.

How Is the Course Different?
This course is the best choice if you want to understand the AI technology itself and the specific testing challenges that come with AI-based systems. While Testing with AI focuses on using AI tools in testing, Fundamentals of AI Testing focuses more on how AI solutions are tested and quality assured.

Testing with AI is For Those Who Want to Use AI Practically in the Agile Testing Process

Testing with AI is a hands-on one-day course for those who want to learn how AI tools such as ChatGPT, Claude and Microsoft Copilot can be used to optimise testing processes. The course focuses on making testing more efficient and improving the quality of software deliveries by actively using AI in agile workflows.

On the course, you will learn how to use AI to write and review user stories, work with testable acceptance criteria and create and review test cases based on ISTQB principles. The course is built around a practical main case, where participants practise prompting in a simulated Scrum cycle.

Who Is the Course Relevant For?
The course is particularly relevant for software testers, test engineers and test managers working in agile environments. It is also relevant for scrum masters, agile coaches, project managers, developers and product managers who want to understand how generative AI can strengthen testing and quality assurance in practice.

How Is the Course Different?
Testing with AI is the most practical course for those who want to get started quickly with using AI in their daily work. It requires no prior experience with artificial intelligence and is therefore an ideal first step for test teams that want to work more efficiently with AI tools.

Testing with AI – Advanced is For Those Who Want to Use AI Strategically in Test Management

Testing with AI – Advanced is the course for those who already have experience using AI in testing and now want to take their use of AI to a more strategic level. This course is not about a basic introduction to AI, but about advanced and professional use of AI in test management, planning, reporting and decision support.

The course focuses on advanced prompting, test strategy, sprint test plans, UAT test plans, progress reports and UAT test reports. You will learn how to guide AI output through roles, rules, context and iterative prompts — and you will work with how AI can act as a sparring partner throughout the test management cycle.

Who Is the Course Relevant For?
The course is particularly relevant for test managers, QA leads, senior testers responsible for planning and coordination, scrum masters, agile coaches, project managers and product owners who want better test overview and decision support.

How Is the Course Different?
Testing with AI – Advanced differs from Testing with AI by moving from practical use in testing activities to strategic use in test management. The course is relevant when you already know the basic AI tools and want to work in a more structured, controlled and professional way with AI in complex agile software projects.

ISTQB Testing with Generative AI (CT-GenAI) is For Those Who Want to Be Certified in GenAI in Software Testing

ISTQB Testing with Generative AI is a specialist course for those who want to understand how generative AI and large language models can be used throughout the entire testing process — from requirements and test design to test automation and test control. The course provides practical skills in prompt engineering and knowledge of risks such as hallucinations, bias and data security.

The course covers core concepts within GenAI and LLM technologies, prompt engineering for software testing, risk management when using generative AI, LLM-based test infrastructure and implementation of GenAI in testing organisations.

Who Is the Course Relevant For?
The course is for those who already hold an ISTQB Foundation certification and work as a tester, test analyst, test manager, test automation specialist, developer, product owner or business analyst. It is also relevant for project managers, quality leads and IT leaders who want to understand the opportunities and risks of AI in testing.

How Is the Course Different?
This course is specifically focused on generative AI. While ISTQB Certified in AI Testing is broader and covers testing of AI-based systems, ISTQB Testing with Generative AI focuses on how GenAI and LLMs can be used in the testing process — and how the risks of the technology can be managed professionally.

ISTQB Certified in AI Testing is For Those Who Want a Broad Certification in AI Testing

ISTQB Certified in AI Testing is a certification course that provides a fundamental and broad understanding of artificial intelligence, testing AI solutions and using AI to test other systems. The course covers AI, quality characteristics, machine learning, testing AI systems and using AI in the testing of other systems.

On the course, you will learn how to contribute to the test strategy for AI-based systems, design and execute test cases, understand challenges such as bias, ethics, complexity and transparency, and understand requirements for test infrastructure.

Who Is the Course Relevant For?
The course is relevant for anyone who wants to understand AI, machine learning and testing of AI solutions. To take the exam, ISTQB Foundation is a prerequisite, but to participate in the course, a basic understanding of software testing is sufficient.

How Is the Course Different?
ISTQB Certified in AI Testing is the right choice if you want an official certification with broad coverage of AI testing. It is particularly relevant if you want to document your competencies within testing and quality assurance of AI-based systems.

Which AI Course Should You Choose?

The right course depends on what you want to achieve.

Choose Fundamentals of AI Testing if you want to understand AI, machine learning and the specific techniques and challenges related to testing AI-based systems.

Choose Testing with AI if you want to get started using AI tools such as ChatGPT, Claude or Copilot in the daily testing process — for example for user stories, acceptance criteria, test cases and reviews.

Choose Testing with AI – Advanced if you work with test management, coordination or quality in agile projects and want to use AI more strategically for test planning, reporting and decision support.

Choose ISTQB Testing with Generative AI if you want a certification focused on generative AI, LLMs, prompt engineering, risks and implementation of GenAI in testing organisations.

Choose ISTQB Certified in AI Testing if you want a broad ISTQB certification in AI testing and want to document your competencies within testing of AI-based systems.

AI in Testing Requires Tools, Methods and Professional Judgement

AI can be a powerful support in testing, but it is not a replacement for testing expertise. The greatest value is created when AI is combined with a structured testing process, clear quality criteria and people who can assess whether AI output is useful, correct and responsible.

That is why competence development is essential. With the right AI course, testers, test managers, developers and other IT professionals can gain a shared language, concrete methods and practical tools for working professionally with AI in software testing.

At TestHuset, we help both individuals and organisations strengthen their competencies within testing, quality assurance and AI. Several of the courses can also be delivered as in-house company courses, so the content can be adapted to your organisation, processes and specific needs.

Frequently Asked Questions About AI Courses in Software Testing

Which AI Course Should I Start With?
If you want to use AI tools in your everyday work as a tester, Testing with AI is an obvious place to start. If you instead want to understand how AI-based systems are tested, Fundamentals of AI Testing is a better first choice.

What Is the Difference Between Testing with AI and Fundamentals of AI Testing?
Testing with AI primarily focuses on using AI tools such as ChatGPT, Claude, and Copilot in the testing process. Fundamentals of AI Testing focuses more on understanding AI technology and quality assuring AI-based systems.

What Is the Difference Between Testing with AI and Testing with AI Advanced?
Testing with AI is a practical introductory course on using AI in agile testing processes. Testing with AI Advanced is for those who want to use AI more strategically in test management, test planning, UAT, reporting and decision support.

Which Course Should I Choose If I Want a Certification?
If you want to be certified, you should choose either ISTQB Testing with Generative AI or ISTQB Certified in AI Testing. The former focuses on generative AI and LLMs, while the latter provides a broader certification in AI testing.

Are AI Courses Only Relevant for Testers?
No. AI in software testing is also relevant for test managers, QA leads, scrum masters, agile coaches, project managers, product owners, developers, test automation specialists and IT leaders.