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Labs

Create a Machine Learning Pipeline Using Azure SDK

In this hands-on lab, you will become familiar with creating a machine learning workspace, creating compute resources, and programmatically developing a multi-step pipeline in Azure Machine Learning.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 24, 2025
Duration
45m

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Table of Contents
  1. Challenge

    Create a Workspace

    Create a workspace in which you will build your diabetes research pipeline. Use the same location as your lab-provided resource group for all resources.

  2. Challenge

    Create Compute Resources

    Create a compute instance to both run your Notebook and execute the pipeline workload. When prompted to choose a VM for compute, select the smallest "general purpose" machine.

  3. Challenge

    Create and Run a Pipeline

    Create a pipeline to prepare and train the diabetes data. It should include multiple steps that call Python scripts and utilize Microsoft's open diabetes dataset.

    To utilize the existing Jupyter Notebook with all of the necessary steps to create and run the pipeline already preconfigured, clone the repo from GitHub.

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