Setting Up an Azure Machine Learning Development Environment
Difficulty: Intermediate
Duration: 1 minute and 13 seconds
Students: 206
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
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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
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There are no machine learning prerequisites, but some familiarity with Azure is assumed