ML System Design is a new area in machine learning that deserves to become a separate discipline. While there are plenty of books and courses that cover specific aspects of machine learning, there is scarce literature on the overall landscape of ML system design. Even among highly experienced ML practitioners, there’s a lack of a holistic perspective. Join other specialists seeking to level out these knowledge gaps, and learn directly from two experts in ML and data science with over 20 years of combined experience.

This course introduces machine learning system design as a unified pool of knowledge. We’ve developed a comprehensive framework covering all fundamental aspects of ML system design, and we’ll provide step-by-step guidelines and insights helpful to both novices and experts.

Course highlights:

— 60+ lessons on ML system design, including interactive sessions and practical advice.

— Two use cases with real-life scenarios.

— Stories of wins and failures from our personal experiences.

— Live Q&A sessions to help you synthesize and apply the course material.

You’ll develop: 

— A comprehensive knowledge of designing, training, deploying, and maintaining ML systems.

— The ability to confidently implement what you have learned in a real-world environment.

— Hands-on experience that can be shared with colleagues.