ISTQB® Certified Tester AI Testing (CT-AI) («TAI»)

• Fundamentals of artificial intelligence and machine learning
• Key concepts of AI testing
• Quality characteristics of AI-based systems
• Test methods and techniques for AI systems
• Test data for AI-based systems
• Test automation with AI
• Evaluation and assessment of AI models
• Quality assurance in the AI development process
• Ethical aspects and responsibility in AI testing
• Best practices and practical use cases
• Challenges and risk management in AI testing
• Tools and frameworks for AI testing

The Certified Tester AI Testing certification is aimed at anyone involved in the testing of AI-based systems and/or AI for testing. This includes individuals 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, operations team members, IT directors and business consultants.

18 months of experience in testing or higher IT training is recommended for attending this training.

Individuals wishing to take the «Certified Tester AI Testing» certification must be in possession of the «ISTQB® Certified Tester Foundation Level» certification.

The examination is taken remotely and individually after attending the course. The examination fees are included in the course price.

Exam format: Number of questions: 40, pass rate: 31 out of 47, duration: 60 minutes (25% additional time for non-native speakers)

• ISTQB® AI Testing

This training is conducted in cooperation with our partner Xebia Switzerland AG.