
Modern AI is evolving rapidly, but the core ideas behind today’s systems are stable, elegant, and intuitive. Understanding the mathematical and modeling building blocks that power AI is essential to quick assessment and adoption of the right technologies in the field.This course introduces the modeling and mathematical foundations of modern AI. Starting from essential refreshers in calculus and linear algebra, we build toward the core structures underlying today’s supervised, unsupervised, and generative models. Case studies develop skill in translating real-world problems into the abstract language of modern AI pipelines.This course may be taken individually or as part of the Professional Certificate Program in Machine Learning & Artificial Intelligence.