AI for Science has emerged as one of the most dynamic frontiers in modern engineering, reshaping domains from healthcare to infrastructure. At the center of this transformation is materials science—the discipline that sets the physical limits of our world.

As we approach advanced level capabilities in scientific reasoning approaching Artificial General Intelligence (AGI) - systems that can integrate knowledge, propose hypotheses, and iteratively refine designs with real-world agency - materials discovery is shifting from intuition-driven search to AI-augmented invention. In this course, you will learn how to apply foundation models, generative methods, and agentic workflows alongside multiscale modeling to compress development timelines and enable high-speed, cost-effective prototyping at the edge of physical feasibility.

This course may be taken individually or as part of the Professional Certificate Program in Design & Manufacturing or the Professional Certificate Program in Machine Learning & Artificial Intelligence.