azure-ai-ml-py
Azure Machine Learning SDK v2 for Python (azure-ai-ml) lets you manage ML resources on Azure programmatically.
Setup & Installation
What This Skill Does
Azure Machine Learning SDK v2 for Python (azure-ai-ml) lets you manage ML resources on Azure programmatically. It covers workspaces, training jobs, model registration, compute clusters, datasets, pipelines, and environments through the MLClient interface.
Instead of clicking through the Azure portal to launch jobs or register models, you get full programmatic control over the entire ML lifecycle from a single Python client.
When to use it
- Submitting a training job to a remote GPU cluster without leaving Python
- Registering a trained model to the Azure ML model registry for deployment
- Building a multi-step pipeline that chains data prep and model training
- Scaling a compute cluster up or down based on job queue size
- Versioning datasets stored in Azure Blob Storage as named data assets
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