In this session I will describe how we leverage Azure Data Bricks and ML Flow along with Azure Machine Learning service to solve some of the most complex problems which the Data Science community faces. Tracking the machine learning models and the data sets, versioning the machine learning models. Creating an organisation wide model repository for discovery within the organisation this in turn save many others from rebuilding the wheel.We will touch upon how to create images for the machine learning models and deploy the same in production using Azure Kubernetes services or Azure Container Services.