Welcome to Azure AI Documentation
Azure AI is Microsoft’s comprehensive cloud platform for building, deploying, and managing enterprise AI applications. From cutting-edge agents and large language models to production-ready machine learning pipelines and intelligent search, Azure AI provides everything you need to innovate with confidence.Microsoft Foundry
Unified platform for building AI agents, working with models, and deploying generative AI applications at enterprise scale.
Azure Machine Learning
End-to-end platform for training, deploying, and managing machine learning models with MLOps best practices.
Azure AI Search
AI-powered information retrieval platform for building rich search experiences and RAG applications.
Open Datasets
Curated public datasets for enriching machine learning solutions with weather, census, and location data.
Why Azure AI?
Azure AI brings together the best of Microsoft’s AI capabilities under one unified platform:Enterprise Ready
Built-in security, compliance, and governance features for production workloads.
Integrated Platform
Seamless connections between services, from data ingestion to model deployment.
Azure Scale
Global infrastructure with reliability, monitoring, and automatic scaling.
Getting Started
New to Azure AI? Follow our quickstart guide to create your first project and deploy an AI solution.Choose Your Service
Select the Azure AI service that best fits your needs - agents, ML models, search, or data enrichment.
Key Capabilities
Multi-Agent Orchestration
Build sophisticated AI agents that collaborate to solve complex problems. Microsoft Foundry provides SDKs for Python and C# that enable advanced workflow execution and multi-agent coordination.Model Flexibility
Work across model providers with a consistent API contract. Access Azure OpenAI, models from the Foundry model catalog including Mistral, Meta, Cohere, and more.Production MLOps
Streamline the machine learning lifecycle with automated pipelines, model versioning, monitoring, and deployment management. Azure Machine Learning provides enterprise-grade MLOps capabilities.Intelligent Retrieval
Combine classic search with modern agentic retrieval for grounded, context-aware responses. Azure AI Search supports full-text, vector, hybrid, and multimodal search.Platform Features
Security & Compliance
Security & Compliance
- Microsoft Entra ID authentication
- Azure Virtual Networks with network security groups
- Azure Key Vault for secrets management
- Role-based access control (RBAC)
- Document-level access control
- Azure Policy integration
Development Tools
Development Tools
- SDKs for Python, C#, JavaScript/TypeScript, and Java
- VS Code extensions for local development
- REST APIs for automation
- Jupyter notebooks in the cloud
- Azure CLI integration
Monitoring & Observability
Monitoring & Observability
- Real-time performance metrics
- Built-in tracing and debugging
- Azure Monitor integration
- Custom evaluation frameworks
- Cost tracking and optimization
Explore Services
Each Azure AI service is designed to solve specific challenges while working together as part of a unified platform:Microsoft Foundry
A unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. Build generative AI applications and AI agents with cutting-edge models, grounded in responsible AI practices. Key Features:- Foundry Agent Service for building intelligent agents
- Multi-agent orchestration and workflows
- Access to 1,400+ tools through the tool catalog
- Memory capabilities for contextual interactions
- Knowledge integration with Foundry IQ
- Real-time observability and monitoring
Azure Machine Learning
Accelerate and manage the complete machine learning project lifecycle. Train and deploy models at scale with built-in MLOps, supporting frameworks like PyTorch, TensorFlow, and scikit-learn. Key Features:- Automated ML for rapid model development
- Distributed training on GPU clusters
- Managed endpoints for real-time and batch scoring
- Model catalog with LLMs and foundation models
- Prompt flow for LLM application development
- Integration with Azure Synapse and Databricks
Azure AI Search
Fully managed cloud search service that connects data to AI. Unifies access to enterprise and web content for agents and LLMs to produce reliable, grounded answers. Key Features:- Classic search and agentic retrieval modes
- Full-text, vector, hybrid, and multimodal search
- AI enrichment with chunking and vectorization
- Knowledge bases for multi-source retrieval
- Integration with Azure OpenAI and Foundry
- Document-level security and compliance
Azure Open Datasets
Curated public datasets optimized for machine learning workflows. Enrich your models with weather, census, transportation, and economic data. Key Features:- Pre-processed and cleaned datasets
- Regular updates from authoritative sources
- Integration with Azure ML and Databricks
- Python SDK for easy access
- Transportation, labor, and weather datasets
Next Steps
Ready to start building with Azure AI?Quickstart Guide
Get up and running with Azure AI in minutes
Services Overview
Explore all available Azure AI services
Tutorials
Step-by-step guides for common scenarios
API Reference
Complete API documentation and SDKs
New to Azure? Create a free Azure account to get started with credits for Azure AI services.
Community & Support
Join the Azure AI community and get help when you need it:- Documentation: Comprehensive guides and references
- Microsoft Learn: Free training and certification paths
- Stack Overflow: Community Q&A with the
azure-aitag - GitHub: Sample code and open-source projects
- Azure Support: Professional support plans available