> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/MicrosoftDocs/azure-ai-docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Azure AI Documentation

> Your comprehensive guide to Microsoft's enterprise AI platform, including Foundry, Machine Learning, AI Search, and Open Datasets.

# 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.

<CardGroup cols={2}>
  <Card title="Microsoft Foundry" icon="robot" href="/services/ai-foundry">
    Unified platform for building AI agents, working with models, and deploying generative AI applications at enterprise scale.
  </Card>

  <Card title="Azure Machine Learning" icon="brain-circuit" href="/services/machine-learning">
    End-to-end platform for training, deploying, and managing machine learning models with MLOps best practices.
  </Card>

  <Card title="Azure AI Search" icon="magnifying-glass" href="/services/ai-search">
    AI-powered information retrieval platform for building rich search experiences and RAG applications.
  </Card>

  <Card title="Open Datasets" icon="database" href="/services/open-datasets">
    Curated public datasets for enriching machine learning solutions with weather, census, and location data.
  </Card>
</CardGroup>

## Why Azure AI?

Azure AI brings together the best of Microsoft's AI capabilities under one unified platform:

<CardGroup cols={3}>
  <Card title="Enterprise Ready" icon="shield-check">
    Built-in security, compliance, and governance features for production workloads.
  </Card>

  <Card title="Integrated Platform" icon="link">
    Seamless connections between services, from data ingestion to model deployment.
  </Card>

  <Card title="Azure Scale" icon="chart-line">
    Global infrastructure with reliability, monitoring, and automatic scaling.
  </Card>
</CardGroup>

## Getting Started

New to Azure AI? Follow our quickstart guide to create your first project and deploy an AI solution.

<Steps>
  <Step title="Choose Your Service">
    Select the Azure AI service that best fits your needs - agents, ML models, search, or data enrichment.
  </Step>

  <Step title="Create Resources">
    Set up your Azure account and create the necessary workspace or project resources.
  </Step>

  <Step title="Build & Deploy">
    Use the portal, SDKs, or APIs to build and deploy your AI solution.
  </Step>

  <Step title="Monitor & Optimize">
    Track performance, evaluate results, and continuously improve your models.
  </Step>
</Steps>

## 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

<Accordion title="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
</Accordion>

<Accordion title="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
</Accordion>

<Accordion title="Monitoring & Observability">
  * Real-time performance metrics
  * Built-in tracing and debugging
  * Azure Monitor integration
  * Custom evaluation frameworks
  * Cost tracking and optimization
</Accordion>

## 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?

<CardGroup cols={2}>
  <Card title="Quickstart Guide" icon="rocket" href="/quickstart">
    Get up and running with Azure AI in minutes
  </Card>

  <Card title="Services Overview" icon="grid" href="/services/overview">
    Explore all available Azure AI services
  </Card>

  <Card title="Tutorials" icon="graduation-cap" href="/tutorials">
    Step-by-step guides for common scenarios
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference">
    Complete API documentation and SDKs
  </Card>
</CardGroup>

<Note>
  **New to Azure?** Create a [free Azure account](https://azure.microsoft.com/pricing/purchase-options/azure-account) to get started with credits for Azure AI services.
</Note>

## 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-ai` tag
* **GitHub**: Sample code and open-source projects
* **Azure Support**: Professional support plans available

***

<Tip>
  **Pro Tip**: Start with Microsoft Foundry if you're building agent-based applications, or Azure Machine Learning if you're focusing on custom model training and MLOps.
</Tip>