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Labs

Submit a Custom Training Script Experiment

You are a data scientist at Globomantics, tasked with training a custom regression model to predict solar panel energy output efficiency across the company's field sites. You will write your own custom training script, submit it to Azure Machine Learning using the Azure ML SDK, monitor the run's logs and metrics, and register the trained model for downstream use.

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Lab platform
Lab Info
Level
Advanced
Last updated
May 04, 2026
Duration
45m

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Table of Contents
  1. Challenge

    Prepare a custom training script

    Write a Python training script that loads the solar panel telemetry dataset, trains a regression model, logs metrics, and saves the trained model as an output artifact.

  2. Challenge

    Configure and submit the training job
    • Use the Azure ML SDK to define a command job that references the training script, the registered environment, and the compute cluster.
    • Submit the job and confirm it begins running on the compute target.
  3. Challenge

    Monitor the run and register the trained model
    • View the job's output logs and logged metrics to confirm the training completed successfully.
    • Register the trained model in the Azure ML model registry.
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