Machine Learning at LinkedIn

The course covers LinkedIn's approach to scaling AI and ML systems, focusing on improving ML engineering productivity and enabling engineers from any product group to leverage ML. It includes topics such as ML productivity, measuring productivity, feature marketplace, inference library, Jupyter Notebook, Gradle plugins, and model explorer. The teaching method is through a video lecture, and the intended audience includes individuals interested in AI, ML, and improving productivity in ML engineering.