New

Testing with AI

Discover and learn how AI can revolutionize your agile testing process and increase your team’s efficiency

Learning objectives

Business Benefits:

  • Valuable insights into how AI tools such as ChatGPT and Microsoft Copilot can be used to optimize testing processes.
  • Streamlining of test activities and improved quality of software deliveries.
  • A competitive advantage in technological development through a team trained in cutting-edge AI tools.

Course Benefits:

  • A general understanding of AI tools and their application in agile testing processes.
  • Understanding of what language models are and how they are likely to evolve in the future.
  • Skills to write and review user stories and test cases more efficiently using AI.
  • The ability to lead your team through an AI-driven testing strategy that increases speed and precision.

Target audience

This course is tailored for software testers, test engineers, and test managers working in agile environments who want to incorporate the latest AI tools into their workflow. It is aimed at professionals who already have an understanding of agile testing and wish to enhance their methods using the advanced capabilities of AI tools. With a practical approach, you will learn how to use AI tools to both write and review user stories with testable acceptance criteria, as well as to create and review test cases—all within the principles of ISTQB.

The course is also ideal for Scrum Masters and Agile Coaches looking for ways to optimize their teams’ efficiency, as well as project managers seeking to understand the potential of AI in order to better support and guide their testing teams.

Developers who want insight into how AI can strengthen testing and quality assurance will also benefit from the course, as will product managers responsible for delivering software to market without critical defects.

Finally, the course is open to anyone in the IT and software development industry who is curious about how generative AI models such as ChatGPT and Microsoft Copilot can transform testing processes and contribute to a more agile and responsive development cycle.

 

Course format

The course is built around a practical walkthrough of a main case, allowing participants to practice using prompts in ChatGPT/Copilot in connection with user stories, acceptance criteria, test cases, and more within a simulated Scrum cycle. The course also includes theoretical sessions and is aligned with ISTQB theory and terminology—therefore, participation in the ISTQB Foundation or Basic Structured Testing courses is an advantage.

Overall, the course is characterized by interactive and hands-on exercises, as well as dialogue and discussion based on your own experiences, those of the other participants, and the instructor.

As a participant, you will gain access to TestHuset’s own AI platform, which is built on ChatGPT. Everything you learn during the course can be transferred to other AI tools, such as Microsoft Copilot or similar solutions. You will also receive a handbook with recommended prompts for the development process.

Trainer:

Our trainer not only have extensive experience teaching software testing but also many years of hands-on experience from various IT projects, ensuring optimal learning and insight into best practices. Our trainer has also implemented AI- and ChatGPT-based workflows in several organizations.

Prerequisites:

No prior experience with artificial intelligence is required, as the course provides a thorough introduction to what AI is and its role in agile testing. A general interest in technology and its applications will, however, enhance the learning experience and enable more meaningful participation in the practical exercises.

TestHuset provides computers, and participants will be given access to TestHuset’s own AI platform.

In-house training

If you are more than 5 people from same organisation, it can be beneficial to consider the course as in-house training. We conduct the course exclusively for your employees, either as standard as described or tailored to your needs.

In-house training offers several benefits. It can lead to financial savings when training more than five people. This approach fosters intensive exchange of experiences and encourages knowledge sharing among employees. Additionally, it helps in building a common understanding of the subject matter among the workforce. Furthermore, in-house training provides the opportunity for unique customization based on a company’s specific methods and processes.

Testing with AI

Testing with AI

Need help?

If you have any questions, please call us on +45 44 979 979 or e-mail kompetencecenter@testhuset.dk

Contact us

Course content

1. Introduction to language models and AI

2. Introduction to AI Tools

3. User Stories with AI tools

Learn how to formulate detailed, testable user stories using ChatGPT/Copilot that capture the essence of business requirements

4. Test Cases and Reviews with AI Tools

Use AI tools to identify risks and create test cases in accordance with ISTQB standards, as well as to improve the review process.

5. Best Practices and Ethics in AI Testing

  • Discuss ethical considerations when using AI in testing and learn how to navigate potential pitfalls

Introduction

Meet our Trainers

Andrew Prasana Rajendram

Meet Andrew Prasana Rajendram, Trifork QI’s Trainer. Andrew has a degree in IT engineering, and 16 years of experience in large IT projects and quality assurance of IT solutions across various industries. He has previously been employed at TestHuset and has spent most of his career as an external consultant, where his roles have ranged from Tester, Technical Tester, Test Manager, Test Mentor, to Program Test Manager. Today, in addition to being a teacher and lecturer, he is also a freelance consultant in testing and QA. Andrew will specifically be teaching ‘Testing with AI,’ a course he developed in collaboration with TestHuset.