Cloud Machine Learning Engineering and MLOps

Building Intelligent Systems at Scale

ML engineering is software engineering applied to models. This course positions machine learning in the context of production systems—continuous delivery pipelines, automated training, operational monitoring. You'll explore AutoML technologies (Ludwig, Cloud AutoML) that compress model development, then push outward into MLOps, edge deployment, and AI APIs.

The result: understanding how models actually move from lab to users, and the engineering discipline required to keep them reliable.