MLOps on Enterprise Scale using Azure ML Workspace and MLFlow.

Great opportunity to present on Reactor and Recorded in Microsoft Reactor Channel.

In this Session, you will learn how we can deploy a Machine learning model using Azure DevOps, How enterprise can work in Agile development involving Data engineer, Data Scientist, Machine Learning engineer and DevOps team together. How Responsible AI and Fairness need to be implemented for Machine learning Model with better Interpretable and fair.

What will you learn from the session?

At the end of this workshop, you will be better able to design and implement end-to-end machine learning model deployment in Enterprise. Azure services and related products:

• Azure DevOps

• Azure Kubernetes Service

• Azure Machine Learning Service

• Azure Registry

• MLFlow

• Responsible AI and Fairness

Further Learning: https://aka.ms/MLOps-MachineLearning