The pharmaceutical industry is at a 2026 inflection point. As AI-designed drugs enter Phase III clinical trials, the demand for researchers who can bridge the gap between Generative AI and Medicinal Chemistry has never been higher.

This course provides a high-level, practical framework for using Artificial Intelligence to compress the early discovery timeline from years to months. You will learn to navigate the "Design-Make-Test-Learn" cycle using state-of-the-art predictive models and autonomous scientific agents.