With the overwhelming interest from the UF community in using HiPerGator AI to conduct Artificial Intelligence (AI) research, Research Computing (RC) is continuing its series: Birds of a Feather (BOF) sessions. 

MLOps makes the Machine Learning (ML) engineering easy! MLOps is a useful approach for the creation and maintenance of ML/AI solutions. MLOps helps data scientists and ML engineers to streamline and improve the quality of the process of model development and production. MLflow is an open source MLOps platform for managing the end-to-end machine learning lifecycle. MLflow is organized into four components: Tracking, Projects, Models, and Model Registry. This tutorial will showcase how to use MLFlow on HiPerGator with the key concepts, installations, and APIs etc.