Stanford MLSys

Learn the foundations of production-ready ML, including system architecture, productionization, and performance tuning. Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges?