Advance your career in the AI field with the ISTQB® AI Testing (CT-AI) certification, and extend your understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.

For Training:
Recommended: Undergone training in the ISTQB CTFL Course

Exam Prerequisite:
Candidates must hold the ISTQB Certified Tester Foundation Level (CTFL) certificate.

Who should attend?
Testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers testing AI-based systems and/or utilises AI for testing.

Recommended:  Anyone who needs basic exposure on testing for 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.

• Understand the current state and expected trends of AI
• Experience the implementation and testing of a ML model and recognize where testers can best influence its quality
• Understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency, and explainability
• Contribute to the test strategy for an AI-Based system
• Design and execute test cases for AI-based systems
• Recognize the special requirements for the test infrastructure to support the testing of AI-based systems
• Understand how AI can be used to support software testing