Artificial Intelligence (AI) and Machine Learning (ML) are transforming how organizations analyze data and automate decisions, yet many participants struggle to move from theory to practical application. Introduction to AI and Machine Learning is a hands-on course designed to build both conceptual understanding and technical skill using Python and widely used industry tools. Participants explore core AI concepts, distinguish between major learning paradigms, and learn how models are trained, evaluated, and applied in real-world scenarios. The course walks through preparing and visualizing data, building regression and classification models with Scikit-learn, and interpreting results using appropriate evaluation metrics. It also introduces key ethical considerations, including bias and responsible model use. By the end of the course, participants will understand how machine learning workflows move from raw data to informed decisions and will be equipped to apply these skills confidently in practical settings.
