This course aims to provide an iterative framework to develop real-world machine learning systems that learn from data, reason with data, are deployed, reliable and scalable. The focus of this course is to introduce basic modules of machine learning systems, namely, data management, data engineering, feature engineering, approaches to model selection, training, scaling, how to continually monitor and deploy changes to ML systems, as well as the human side of ML projects such as team structure an