Setting Up an Azure Machine Learning Development Environment

About

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

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