Testing Of AI Model

The ISTQB Certified Tester – AI Testing (CT-AI) webinar provides an overview of the key concepts, challenges, and testing techniques involved in testing Artificial Intelligence (AI)-based systems, particularly Machine Learning (ML) applications. Artificial Intelligence (AI) enables machines to perform tasks that typically require human intelligence, such as learning, prediction, reasoning, and decision-making. Machine Learning (ML), a subset of AI, uses data to learn patterns and make predictions. Testing AI-based systems involves verifying the quality of input data, evaluating model performance, and validating the complete system against functional and non-functional requirements. Unlike traditional software, AI systems may produce probabilistic outputs, and their behavior depends heavily on training data and learned patterns.