This session will cover the lessons learned for implementing key concepts like source control, automation, and CI/CD to build an end-to-end MLOps solution. The session will also cover how to streamline your MLOps workflow with Azure Machine Learning and Azure DevOps.

Attendees will learn how to automate MLOps workflow, build an end-to-end MLOps solution, and implement MLOps with Azure Machine Learning and Azure DevOps.

This session is intended for data scientists, machine learning engineers, and developers who want to learn how to implement MLOps with Azure Machine Learning and Azure DevOps.

This session will require a basic understanding of machine learning concepts, Azure Machine Learning, and Azure DevOps.

You will also need an Azure subscription to follow along the demos.

This session will be delivered for the first time.

The session duration is 45 minutes.

This session will cover the following topics:
- What is MLOps and why is it important?
- How to use Azure Machine Learning and Azure DevOps to create an MLOps pipeline
- How to automate model training, testing, deployment, and monitoring with Azure Machine Learning and Azure DevOps
- Tips for MLOps with Azure Machine Learning and Azure DevOps