Machine Learning System Design

Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview. This course covers the full lifecycle of production machine learning systems through five real-world case studies, including video recommendation, feed ranking, ad click prediction, rental search ranking, and food delivery time estimation. You’ll learn feature selection and engineering, training pipelines, inference architecture, and metrics evaluation, and practice designing end-to-end ML systems for large-scale environments and interview scenarios.