Azure Machine learning workspace is a cloud service which supports the machine learning life cycle. The session will explore how this resource could be used to manage a machine learning project.

There will be a short introduction to machine learning in case the audience is not already familiar with the subject.

Then we will dive into how we can develop machine learning models using:
Only the problem specification with Automated ML
A drag-and-drop interface with Designer
Code with Notebooks on an Azure Compute Instance