Using Developer Tools with Workspaces

Difficulty: Intermediate
Duration: 4 minutes and 8 seconds
Students: 221
Rating: 3.6/5

Setting Up an Azure Machine Learning Development Environment starts with an overview of machine learning. In particular, its relationship with generative AI and a machine learning model’s lifecycle. Then, the lesson moves on to the computing requirements, methods, and tools for model development and training, including script and asset management.

Learning Objectives

  • Overview of machine learning
  • Model training compute requirements
  • Overview of model deployment
  • Overview of model development tools and methods

Intended Audience

  • Students preparing for the DP-100: Designing and Implementing a Data Science Solution on Azure exam and those wanting a practical guide on setting up a development environment for model development

Prerequisites

  • There are no machine learning prerequisites, but some familiarity with Azure is assumed

Covered Topics