Azure Machine Learning is Microsoft's cloud service for building, training, deploying and managing machine learning models across their whole life cycle.
In plain words
It gives data scientists and engineers one place to train models, deploy them and run MLOps, meaning the routine of monitoring, retraining and redeploying models in production. You can build models there or bring ones made with open-source tools such as PyTorch or scikit-learn. A visual designer also lets people train and deploy models without writing code.
A quick example
Imagine a retailer with a demand-forecasting model built in scikit-learn. The team registers it in Azure Machine Learning, deploys it behind an endpoint that apps can call, and sets up monitoring so they know when it needs retraining on newer sales data.
Where you'll meet it
- Company ML projects on Microsoft Azure.
- MLOps: deploying, monitoring and retraining models.
Related
Sources
- DocsWhat is Azure Machine Learning?, Microsoft Learn · read 29 Sept 2026
- DocsEndpoints for inference in production, Microsoft Learn · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.