With machine learning becoming more and more an engineering problem the need to track, work together, and easily deploy ML experiments with integrated CI/CD tooling is becoming more relevant than ever.

In this session we take a deep-dive into Azure Machine Learning, a cloud service that you can use to track as you build, train, deploy, and manage models. We use the Azure Machine Learning Python SDK to manage the complete life cycle of a PyTorch model, from managing the data, to train the model and finally run it into a production Kubernetes cluster.

At the end of this session, you’ll have a good grasp of the technological building blocks of Azure machine learning services and train a PyTorch model on scale.

You will learn:

• Everyone who wants to learn how to train PyTorch models with Azure Machine Learning and run them in production
• How to run PyTorch on Azure Machine Learning
• About the Azure AI Platform