Artificial intelligence is not a trend - it has long been part of modern software systems. But how do you test a system that “learns” from data? What does quality assurance mean when results are not deterministic? In our ISTQB Certified Tester - AI Testing seminar, you will get the answers - well-founded, practical and directly applicable.
Learn the key skills
Understand how AI systems work - and why testing them requires new ways of thinking and new skills You will learn which risks arise due to bias, lack of explainability or ethical weaknesses and how to systematically respond to them. You will also gain insights into how AI can support you in testing itself - e.g. through intelligent test case generation or data analytics.
Experience AI testing in practice
In the seminar, you will work with realistic examples from AI projects, analyze machine learning models and evaluate them with regard to test-relevant properties. You won't be testing “just anything”, but a targeted approach - taking into account typical challenges such as unsteady results, data quality and model complexity. This will give you a good feel for where classic test strategies need to be adapted.
Understand the strategies
You will develop test strategies specifically for AI-supported software: from handling test data to test case design and suitable test environments. In the process, you will learn how to solve even unclear requirements or difficult-to-understand