Certified Tester AI Testing (CT-AI)

This four-day course provides a comprehensive introduction to Artificial Intelligence (AI) and its application in modern systems. Participants will explore the foundational concepts of AI, including its types, technologies, and development frameworks, as well as the unique quality characteristics that distinguish AI-based systems—such as autonomy, adaptability, ethics, and transparency. The course also covers the essentials of Machine Learning (ML), from algorithm selection and data preparation to performance metrics and neural networks, equipping learners with a solid understanding of how ML models are developed and evaluated.Building on this foundation, the course delves into the challenges and methodologies of testing AI-based systems. Learners will examine test strategies for AI-specific traits like bias, non-determinism, and concept drift, and gain hands-on insight into techniques such as adversarial testing, metamorphic testing, and A/B testing. The final sessions focus on test environments and the use of AI to enhance software testing processes, including defect analysis and regression optimization. By the end of the course, participants will be equipped to critically assess, test, and apply AI technologies in real-world scenarios.