15-442/15-642

The goal of this course is to provide students an understanding and overview of elements in modern machine learning systems. Throughout the course, the students will learn about the design rationale behind the state-of-the-art machine learning frameworks and advanced system techniques to scale, reduce memory, and offload heterogeneous compute resources. For this semester, we will also run case studies on modern large language model (LLM) training and serving systems used in practice today. This course offers the necessary background for students who would like to pursue research in the area of machine learning systems or continue to take a job in machine learning engineering.

Instructor: Tianqi Chen
Office hours: upon request