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Mastering AI in QA workshops

Mastering AI in QA workshops

AI is not only changing the way we work, it is changing the way we think, learn, and create. Yet many testing professionals still don’t use it — or they use it merely as a kind of “Google 2.0.” We believe AI only becomes truly valuable when you understand how to guide it. When you use it to make better decisions. When you apply it to make your work more meaningful and more effective.

That’s why, at QA Company, we have developed a training program to help you get started.

You can read a book about AI, listen to podcasts, and watch videos. But we want you to experience how you can direct AI through:

  • Prompt Engineering → how to ask questions that actually work

  • Context Engineering → how to help AI understand what you really need

  • Practical testing examples → immediately applicable in your daily work

  • Hands-on exercises → learning by doing, not by listening

We create an environment where you can experiment, make mistakes, and discover how to ask better questions — and where you become inspired by what is possible when humans and machines collaborate.

We organize interactive Mastering AI in QA workshops.
This workshop is designed for testers, QA professionals, and anyone who believes you can always learn something new. Are you ready to discover what is already possible?

We don’t just build this training for you — we learn more with every preparation ourselves. Feel free to reach out if you’re interested or would like to know more.

Course Mastering AI-powered testing

The “Mastering AI-Powered Testing” learning program gives experienced test and QA professionals at QA Company the opportunity to truly deepen their understanding of the possibilities AI offers. Participants learn to apply AI conceptually, enabling them to help clients take the next step in professionalizing their QA practices from a quality assurance perspective.

This goes beyond applying prompt engineering, creating self-healing test automation scripts, and generating synthetic test data. Participants also learn what is expected of a test engineer within an AI development team, including how to provide effective feedback to data scientists and data & machine learning engineers.

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Purpose

Our lives are increasingly intertwined with Artificial Intelligence. AI introduces a conceptually different approach to application development and makes it possible to bring applications into production faster and at greater scale than ever before. As a result, quality, diligence, and security are coming under increasing pressure.

Organizations that successfully leverage AI are more agile than competitors that do not—or do so ineffectively. QA Company helps these organizations mitigate potential risks, enhance the quality of their applications, and enable them to create significant additional business value—without sacrificing speed.

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AI in QA versus QA in AI

Now that applications are being built in conceptually different ways with the help of AI, testing those applications must also change at a fundamental level. Test automation frameworks that seemed state-of-the-art until recently are quickly proving to be outdated. The consultants at QA Company help organizations embrace and successfully apply AI in software testing.

In addition, QA Company provides QA expertise within AI development teams, ensuring that not only software engineers, but also data scientists and data & machine learning engineers receive feedback on the quality, availability, and performance of data structures, as well as A2B and training algorithms.

Do you already know how to provide automated feedback to software engineers, but not yet how to apply AI in that process? Would you like to learn how to give effective feedback to data scientists and data & machine learning engineers?