ISTQB® Certified Tester AI Testing (english language)

The ISTQB® AI Testing (CT-AI) certification expands your understanding of artificial intelligence and/or deep learning (machine learning), especially for testing AI-based systems and using AI in testing. The course gives you a good intro and overview of the current state and expected trends in AI.

The course provides a good introduction and overview of the current state and expected trends in AI. It covers the implementation and testing of an ML model and identifies where testers can best support its quality. It also focuses on identifying the challenges associated with testing AI-based systems, such as their self-learning ability, bias, ethics, complexity, non-determinism, transparency, and explainability.

Participation in the test strategy for an AI-based system. 

The design and execution of test cases for AI-based systems are covered.

You will learn about the special requirements for the test infrastructure to support the testing of AI-based systems.

You will gain a basic understanding of how AI can be used to support software testing.

Participation in this course will give you a comprehensive understanding of the topic.

To attend this course, we recommend that you:

• Hold the ISTQB® Certified Tester - Foundation Level certificate (CTFL)
• Have experience in software development or testing
• Basic knowledge of mathematical logic and stochastics is helpful but not necessary.

A laptop on which the relevant tools can be installed and used is required for the practical exercises. Please use a laptop on which you have administrator rights.

The course is structured according to the ISTQB® AI Testing curriculum. This allows you to compare the topics covered in the course with the curriculum.

• Chapter 1: Introduction to AI
• Chapter 2: Quality characteristics for AI-based systems
• Chapter 3: Machine learning (ML) – overview
• Chapter 4: ML – data
• Chapter 5: ML – functional performance metrics
• Chapter 6: ML – neural networks and testing
• Chapter 7: Testing AI-based systems – overview
• Chapter 8: Testing AI-specific quality characteristics
• Chapter 9: Methods and techniques for testing AI-based systems
• Chapter 10: Test environments for AI-based systems
• Chapter 11: Using AI for testing

• Testers who want to expand their remit to include testing applications with artificial intelligence.
• Test experts who want to gain more knowledge about artificial intelligence in testing tools.
• Other interested parties who want to gain a deeper understanding of artificial intelligence in general and testing in particular. 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 suitable for anyone who wants to gain a basic understanding of testing AI-based systems and/or AI for testing, such as project managers, quality managers, software development managers, business analysts, members of operations teams, IT directors, and management consultants.

The Certified Tester Specialist AI Testing Examination has the following characteristics:

• The format of the examination is multiple choice.
• The duration of the examination is 60 minutes. If the candidate's native language is not the language of the examination, the candidate will receive an additional 25% (examination duration = 75 minutes).
• There are 40 questions.
• To pass the exam, at least 65% of the questions must be answered correctly.
• The total number of points for this exam is 47. To pass the exam, you must therefore achieve at least 31 points.