ISTQB AI testing training course Stuttgart in English, 3 days

• 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 • Know risks and benefits related to test automation • Identify essential skills required for testing • Understand the impact of risk on testing • Effectively report on test progress and quality