- Module 1: As a data scientist, you can use Azure Machine Learning to train and manage your machine learning models. Learn what Azure Machine Learning is, and get familiar with all its resources and assets.
In this module, you'll learn how to:
- Create an Azure Machine Learning workspace.
- Identify resources and assets.
- Train models in the workspace.
- Module 2: Learn how you can interact with the Azure Machine Learning workspace. You can use the Azure Machine Learning studio, the Python SDK (v2), or the Azure CLI (v2).
In this module, you'll learn how and when to use:
- The Azure Machine Learning studio.
- The Python Software Development Kit (SDK).
- The Azure Command Line Interface (CLI).
Explore and configure the Azure Machine Learning workspace
Overview
Syllabus
- Module 1: Module 1: Explore Azure Machine Learning workspace resources and assets
- Introduction
- Create an Azure Machine Learning workspace
- Identify Azure Machine Learning resources
- Identify Azure Machine Learning assets
- Train models in the workspace
- Exercise - Explore the workspace
- Knowledge check
- Summary
- Module 2: Module 2: Explore developer tools for workspace interaction
- Introduction
- Explore the studio
- Explore the Python SDK
- Explore the CLI
- Exercise - Explore the developer tools
- Knowledge check
- Summary
Tags
Related Courses
-
Train models in Azure Machine Learning with the CLI (v2)
-
Work with compute in Azure Machine Learning
-
Train and manage a machine learning model with Azure Machine Learning
-
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning
-
Build and operate machine learning solutions with Azure Machine Learning
-
Design a machine learning solution
