Azure Machine Learning
Enterprise-grade AI service for the end-to-end machine learning lifecycle
Founded
2015
Starting Price
From $0.096
Category
AI & Machine Learning
Last updated February 14, 2026
About Azure Machine Learning
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.
Pros & Cons
Pros
- Seamless integration with Microsoft ecosystem (Azure DevOps, Power BI, Office 365)
- Comprehensive MLOps capabilities for model lifecycle management and monitoring
- Extensive model catalog including OpenAI and other foundation models
- Enterprise-grade security with built-in compliance and Responsible AI toolkit
- User-friendly visual designer suitable for both beginners and experts
Key Features
Automated Machine Learning
Rapidly create accurate models for classification, regression, vision, and NLP with minimal coding
Model Catalog
Access and fine-tune pre-trained models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere
Prompt Flow
Design, build, evaluate, and deploy language model workflows with visual designer
MLOps Integration
End-to-end lifecycle management with CI/CD pipelines, model monitoring, and drift detection
Responsible AI Toolkit
Build interpretable models with fairness assessment, bias mitigation, and explainability
Managed Compute
Purpose-built infrastructure with latest GPUs, InfiniBand networking, and auto-scaling
Pricing
Most Popular
Pay-as-You-Go
From $0.096/hour
- Per-second billing
- No upfront commitments
- Flexible compute scaling
Best For
Predictive Analytics for Retail
Optimize pricing strategies, forecast demand, and predict customer churn to maximize profit margins
Medical Image Analysis
Analyze X-rays, MRIs, and medical imaging to identify health issues for faster, more accurate diagnoses
Supply Chain Optimization
Predict disruptions, optimize delivery routes, and reduce operational costs with ML-powered logistics
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