Although machine learning (ML) and deep learning concepts are essential, possessing production engineering skills is equally (if not more) vital in solving real-world problems with data science. DeepLearning.AI developed the MLOps Specialization course to share practical lessons on building and maintaining ML systems in production. In this article, I summarize the lessons so that you can skip the hours of online videos while still gleaning the key insights. This article covers Course 3 of the 4-course MLOps specialization. Follow this page to stay updated with content from subsequent courses.

About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.

As you might know, deeplearning.ai The first batch contains Course 1 to 3. And only recently (as of November 15), Course 4, "Convolution Neural Networks" was released. And Course 5 is supposedly released in late November. So Course 3, "Structuring Machine Learning Projects" was more the "final" course in the first batch.