Recent developments in Machine Learning (ML) and Artificial Intelligence (AI) have revolutionized how we approach science, engineering, and the life sciences. In this course, we focus on how AI and ML approaches shed light on the biochemical mechanisms underlying cellular processes. The course starts with an introduction to the basics of widely used ML methods, with practical examples of how ML models can be set up using Python notebooks. We then explore how ML and AI can further our understanding of cellular biochemistry, help elucidate multicellular processes, and guide the design of artificial biomimetic systems. Students will work on a semester-long project, that will provide first-hand experience in building a ML model on the topic.