Azure AI + Machine Learning Documentation

Explore the comprehensive documentation for Azure's AI and Machine Learning services. Discover how to build intelligent applications and leverage the power of AI on the Azure cloud.

Key Services & Concepts

Azure offers a vast array of services to accelerate your AI and ML journey. From pre-trained models to custom solution development, find the tools you need:

Azure Machine Learning

A cloud-based environment that you can use to train, deploy, automate, manage, and track machine learning models. It’s designed for data scientists and ML engineers.

• Getting Started with Azure ML
• Compute Targets
• Managing Datasets
• Model Management and Deployment

Cognitive Services

A collection of AI services and APIs that developers can use to add cognitive capabilities—like vision, speech, language, and decision—into their applications.

• Vision Services (Computer Vision, Custom Vision, Face API)
• Speech Services (Speech to Text, Text to Speech, Speaker Recognition)
• Language Services (Language Understanding, Text Analytics, Translator, QnA Maker)
• Decision Services (Anomaly Detector, Personalizer)

Getting Started Guides

New to Azure AI and ML? These guides will help you set up your environment and build your first intelligent applications:

• Quickstart: Create your first Azure ML workspace
• Quickstart: Using Cognitive Services
• Tutorial: Build a Chatbot with Azure Bot Service

Developer Resources

Find API references, SDK documentation, code samples, and best practices to help you develop and deploy your AI solutions.

• API Reference
• SDK Documentation
• Code Samples & Tutorials

Learn More

Dive deeper into specific topics, explore case studies, and stay up-to-date with the latest innovations in Azure AI and ML.

• AI and ML Fundamentals on Azure
• Responsible AI Principles
• Customer Case Studies