ISTQB AI Testing

How do you test AI-based systems? What are the challenges for self-learning systems? How can you use AI to improve your testing?

Artificial Intelligence and Machine Learning in particular are used more and more in everyday applications and systems. The ISTQB® AI Testing (CT-AI) certification extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing, and gives answers to the above questions.

After the course, you can take the ISTQB certification exam. The multiple choice exam has 40 questions, and in order to pass the exam, you need to score 31 out of 47 possible points. The duration of the exam is one hour; non-native English-speakers are allowed 15 minutes extra time.

Target group:

The Certified Tester AI Testing certification is aimed at anyone involved in testing AI-based systems and/or AI for testing. This includes people in roles such as testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, and software developers. This certification is also appropriate for anyone who wants a basic understanding of testing AI-based systems and/or AI for testing, such as project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants.

Prerequisites:

The participants must hold the ISTQB/ISEB Foundation Certificate in Software Testing. As the course material and the certification exam are in English, the participants are expected to have good command of English language.