
Enterprise-grade AI service for the end-to-end machine learning lifecycle
Azure Machine Learning is Microsoft's comprehensive ML platform that streamlines the complete machine learning workflow from data preparation to model deployment. It enables data scientists and ML engineers to build, train, and deploy models at scale with built-in enterprise security, automated ML capabilities, and access to foundation models from OpenAI, Hugging Face, Meta, and others.
Rapidly create accurate models for classification, regression, vision, and NLP with minimal coding
Access and fine-tune pre-trained models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere
Design, build, evaluate, and deploy language model workflows with visual designer
End-to-end lifecycle management with CI/CD pipelines, model monitoring, and drift detection
Build interpretable models with fairness assessment, bias mitigation, and explainability
Purpose-built infrastructure with latest GPUs, InfiniBand networking, and auto-scaling
Optimize pricing strategies, forecast demand, and predict customer churn to maximize profit margins
Analyze X-rays, MRIs, and medical imaging to identify health issues for faster, more accurate diagnoses
Predict disruptions, optimize delivery routes, and reduce operational costs with ML-powered logistics

Free, open-source code editor from Microsoft

The vector database to build knowledgeable AI

Enterprise AI platform for building, deploying, and governing production-quality AI agents

Build, train, and deploy machine learning models at scale on AWS
Start using Azure Machine Learning today and boost your productivity.
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Unified platform for building, deploying, and scaling generative AI and ML models