ISEM 765 Large Language Models - Theory and Practice

This course explores Large Language Models (LLMs) by combining foundational principles with hands-on applications. The student will learn cutting-edge techniques for building, optimizing, and deploying LLM-powered solutions to enhance decision-making, automate workflows, and integrate LLMs into enterprise systems. Emphasizing real-world impact, the course examines LLM-driven innovation across manufacturing, retail, finance, and healthcare.
A key objective of this course is to expose the student to open research challenges in LLMs, including issues of interpretability, efficiency, bias, and scalability-many of which represent “Ph.D.-hard” questions suitable for dissertation research.