The use of AI and the applicability of testing to AI is one of the number one problems being experienced by the AI development and design community. So I would personally recommend anyone who is working anywhere near an AI system, even if you don’t want to participate in this course, is to investigate some of the topics that I have talked about today and start to bolster your personal knowledge, as this is propably the next big theme in Software Testing.

Adam Liam Smith – Chief Technology Officer @ Dragonfly

Get ahead with AI & Software Testing

Your exam provider

Your board

Alliance for Quality

What the new AI and Software Testing certification is about

This is how the certification looks like in our iSQI-Shop:

  • Duration 60 min
  • Paper-based or test-center exam
  • In English
Check our Certification

Who is this certification for?

  • Software Testers
  • Software Engineers
  • UX Designers
  • Designers
  • Anyone involved in coaching or training teams seeking to understand AI in software testing
  • Managers seeking to understand how AI can add value in their organization
  • Business Analysts working seeking to understand the value of AI to the business

We support you in the process of accreditation with A4Q

AI and Software Testing: What is it?

Rex Black about AI and Software Testing

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Or have a look at our FAQ 


In response to market feedback, the course has been designed to include hands-on, practical content to help develop real world skills. As an example, participants will use an AI Testing tool. There are group activities relating to analyzing a system and identifying the correct testing strategies. There is not a significant amount of hands-on machine learning and coding.
The Jupiter Notebook tool is used to demonstrate the use of machine learning. An open-source AI-based test automation tool is also used.
Yes, we already have the sample exam for AI & Software Testing. You can download it here for free.
Training providers are adding the AI & ST course to their portfolios around the world. Please contact for information. You can also self-study using the syllabus.
The course is independent of any SDLC approach. Participants should have some understanding of testing in both traditional and agile environments.
The course covers multiple AI systems. Not just machine learning systems but rule-based expert systems as well. There will be specific examples used in the course with practical exercises.  A recommender system and a physical system that operates in the real world are covered. Complex systems that deliver automation without specification and also systems that apply human characteristics such as reasoning and learning will be included.
No, you don’t need to be able to code to participate in the course or to take the exam. There is some code displayed during the training which will be explained by the trainer. There is some use of tools for which an understanding of HTML may be useful but not essential.
It would be recommended that you have a good understanding of testing principles. It is anticipated that anybody attending this course will have an ISTQB® Foundation (not mandated) or an equivalent level of experience / some knowledge of testing terminology.
No, but it highly recommended. The course has been developed to enhance skills in AI & ST as well as to prepare participants for the certification exam. The course is highly dynamic and offers an excellent learning experience.
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