Azure Machine Learning
Use an enterprise-grade AI service for the end-to-end machine learning (ML) lifecycle
OVERVIEW
Build business-critical ML models at scale
- Streamline prompt engineering and ML model workflows. Accelerate model development with powerful AI infrastructure.Reproduce end-to-end pipelines and automate workflows with continuous integration and continuous delivery (CI/CD).Unify data and AI governance with built-in security and compliance. Run compute anywhere for hybrid machine learning.Gain visibility into models and evaluate language model workflows. Mitigate fairness, biases, and harm with built-in safety system.
FEATURES
Take advantage of key features for the full ML lifecycle
Data preparation
Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric.
Feature store
Increase agility in shipping your models by making features discoverable and reusable across workspaces.
AI infrastructure
Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking.
Automated machine learning
Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing.
Responsible AI
Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness.
Model catalog
Discover, fine-tune, and deploy foundation models from OpenAI, Hugging Face, and Meta using the model catalog.
Prompt flow
Design, construct, evaluate, and deploy language model workflows with prompt flow.
Managed endpoints
Operationalize model deployment and scoring, log metrics, and perform safe model rollouts.
Capabilities
Explore how to bring ML to production
Azure Machine Learning supports extensive, diverse capabilities for robust AI and ML development.
Built-in security and compliance
Pricing
Pay only for what you need, with no upfront cost
Use Azure Machine Learning with no extra cost. Charges apply only for the underlying compute resources utilized during model training or inference. You have the flexibility to select from a diverse range of machine types, spanning categories such as general-purpose CPUs and specialized GPUs.
What’s new in Azure Machine Learning
Discover the latest features and announcements from Azure Machine Learning.
CUSTOMER STORIES
Customers are innovating with Azure Machine Learning
RESOURCES
Azure Machine Learning resources
ACCOUNT SIGNUP
Get started with a free account
Start with $200 Azure credit
ACCOUNT SIGNUP
Get started with pay-as-you-go pricing
There’s no upfront commitment – cancel anytime.