AI Data Analysis Tools
PRODUCT OVERVIEW
Azure Machine Learning is Microsoft's enterprise-grade cloud service for the end-to-end machine learning lifecycle. It provides a centralized studio where data scientists and developers build, train, and deploy models, supported by automated machine learning and MLOps capabilities. The model catalog lets teams fine-tune and deploy language models, including creating endpoints for Azure OpenAI Service and integrating models into applications through APIs. It is intended for organizations running practical ML workflows at scale, from experimentation to production operations. Access is available through an Azure account with pay-as-you-go billing or a free Azure trial of up to 30 days; there is no additional charge for Azure Machine Learning itself, while consumed Azure services and compute incur separate charges.
Sign up for pay-as-you-go billing or start a free Azure trial of up to 30 days to access Azure Machine Learning.
Use the studio as the centralized workspace for data scientists and developers to manage artifacts for building, training, and deploying models.
Work with automated machine learning and MLOps capabilities to develop models and manage the machine learning lifecycle.
Use the model catalog to fine-tune and deploy language models, create endpoints for Azure OpenAI Service, and integrate models into applications via APIs.
Building, training, and deploying machine learning models
Managing the end-to-end ML lifecycle with MLOps
Fine-tuning and deploying language models from a model catalog
Integrating Azure OpenAI Service models into applications through APIs
The service is available in several Azure regions, with more on the way.
The SLA for Azure Machine Learning is 99.9 percent uptime.
It is the top-level resource for Azure Machine Learning, providing a centralized place for data scientists and developers to work with artifacts for building, training, and deploying models.
Azure Machine Learning is a comprehensive machine learning platform that supports language model fine-tuning and deployment; using its model catalog, users can create an endpoint for Azure OpenAI Service and integrate models into applications via APIs.
There is no additional charge to use Azure Machine Learning, but compute and other consumed Azure services incur separate charges.
Separate charges may apply for services including Azure Blob Storage, Azure Key Vault, Azure Container Registry, and Azure Application Insights, along with compute.
You can get started with an Azure account using pay-as-you-go billing or a free Azure trial of up to 30 days, then open Azure Machine Learning studio.
There is no additional charge to use Azure Machine Learning; compute and other consumed Azure services incur separate charges. A free Azure trial is available for up to 30 days.
Standard Azure billing model for using Azure Machine Learning, with separate charges for compute and other consumed Azure services.
A trial Azure account option for trying Azure services, including Azure Machine Learning, for up to 30 days.
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