Like DevOps for conventional software development, MLOps is gaining prominence in recent times as data science makes its way into the industry.

This seminar will discuss the challenges of ML systems development in industry, and the importance of this discipline. In addition, we will delve into fundamental aspects such as data management, model deployment, experiment tracking, and organization of models and other artifacts.