Train models in Azure Machine Learning with the CLI (v2)
The Azure Machine Learning CLI (v2) is an Azure CLI extension that you can use to train and deploy machine learning models. Learn how to use the CLI (v2) to create Azure Machine Learning workspace assets to use for model training and deployment.
Prerequisites
This learning path assumes that you have experience training machine learning models with Python and open-source frameworks like Scikit-Learn. Some familiarity with the main concepts of Azure Machine Learning is also expected.
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Modules in this learning path
Use the Azure Machine Learning CLI (v2) to create and manage workspace resources.
Use the Azure Machine Learning CLI (v2) to train models as jobs. Train a model using a basic Python script, or perform hyperparameter tuning with a sweep job.
Use MLflow to track model metrics and artifacts when training and registering models with the Azure Machine Learning CLI (v2).
Use the Azure Machine Learning CLI (v2) to deploy a machine learning model to a managed online endpoint.
Use components to easily share and reuse code and use component-based pipelines to create machine learning workflows.