Featured Resources

Azure Machine Learning Studio

The cloud-based environment for training, deploying, and managing your machine learning models.

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Responsible AI Tools

Understand, debug, and control your AI models with comprehensive tools for fairness, interpretability, and more.

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Automated ML (AutoML)

Discover the best model and hyperparameters for your dataset with automated machine learning capabilities.

Get Started

MLOps with Azure ML

Implement robust machine learning operations for production environments, from CI/CD to monitoring.

DevOps for ML

Data Preparation & Feature Engineering

Learn techniques and tools for preparing your data and creating effective features for your ML models.

Data Prep Guides

Pre-built AI Models & Services

Leverage Microsoft's pre-trained AI models for vision, speech, language, and decision-making.

Discover Services

Key Documentation Links

Quickstarts

Get hands-on with Azure Machine Learning through guided quickstart tutorials.

Start Quickstarts

Tutorials

Deep dive into specific ML tasks and scenarios with comprehensive tutorial series.

Browse Tutorials

How-to Guides

Step-by-step instructions for common tasks and configurations.

View How-tos

Conceptual Overviews

Understand the core concepts and architecture of Azure Machine Learning.

Read Concepts

API Reference

Detailed documentation for Azure Machine Learning SDKs and REST APIs.

SDK Reference

Best Practices

Learn recommended approaches for building and managing ML solutions on Azure.

Best Practices

Community & Support

Azure ML GitHub Repository

Explore samples, contribute, and find community-driven solutions.

Visit GitHub

Microsoft Q&A

Ask questions and get answers from experts and the Azure community.

Ask Questions

Azure Blog

Stay updated with the latest announcements, features, and insights on Azure AI.

Read the Blog