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Train models with scripts in Azure Machine Learning

Offered By: Microsoft via Microsoft Learn

Tags

Machine Learning Courses Model Evaluation Courses Azure Machine Learning Courses Hyperparameter Tuning Courses MLFlow Courses

Course Description

Overview

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  • Module 1: Run a command job with the Azure Machine Learning Python SDK v2

    In this module, you'll learn how to:

    • Convert a notebook to a script.
    • Test scripts in a terminal.
    • Run a script as a command job.
    • Use parameters in a command job.
  • Module 2: Learn how to track model training with MLflow in jobs when running scripts.

    In this module, you learn how to:

    • Use MLflow when you run a script as a job.
    • Review metrics, parameters, artifacts, and models from a run.
  • Module 3: Azure Machine Learning Python SDK v2.

    In this module, you'll learn how to:

    • Define a hyperparameter search space.
    • Configure hyperparameter sampling.
    • Select an early-termination policy.
    • Run a sweep job.

Syllabus

  • Module 1: Module 1: Run a training script as a command job in Azure Machine Learning
    • Introduction
    • Convert a notebook to a script
    • Run a script as a command job
    • Use parameters in a command job
    • Exercise - Run a training script as a command job
    • Knowledge check
    • Summary
  • Module 2: Module 2: Track model training with MLflow in jobs
    • Introduction
    • Track metrics with MLflow
    • View metrics and evaluate models
    • Exercise - Use MLflow to track training jobs
    • Knowledge check
    • Summary
  • Module 3: Module 3: Perform hyperparameter tuning with Azure Machine Learning
    • Introduction
    • Define a search space
    • Configure a sampling method
    • Configure early termination
    • Use a sweep job for hyperparameter tuning
    • Exercise - Run a sweep job
    • Knowledge check
    • Summary

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