Explore best practices for DP-100: Designing and implementing a data science solution on Azure learning path 2
DP-100: Learning Path 2 Explore the Azure Machine Learning workspace
Learning Path 2 Overview
As you begin to teach this learning path, get familiar with what the students learn during the learning path. In this learning path student learn how to provision an Azure Machine Learning workspace and they'll see how to manage their projects on Azure.
This learning path consists of three focus areas:
- Azure Machine Learning (AML) workspace resources and assets
- Developer tools for workspace interaction
- Discuss various ways to train models on AML
Learning path 2 Tips and Tricks
- Engage with demonstrations for Azure Machine Learning workspace and assets
- Identify and explain different Azure Machine Learning assets (storage, compute, key vault, container)
- Discuss the citizen data scientist tools of AutoML and designer
- Show Jupyter notebooks
- Invite learners to share what they prefer to use or plan to use for Machine Learning Projects (CLI, Python SDK, and ARM Templates)
Learning path 2 Demos
- Demo the Azure Machine Learning workspace in Azure portal
- Briefly show the AutoML and/or designer pipeline
- Demo one of these for Azure Machine Learning: CLI / SDK / ARM Templates
Learning path 2 Labs