Microsoft Foundry
Microsoft Foundry

Microsoft Foundry Resources

Resources for building and operating enterprise-grade AI agents with Azure AI Foundry. Curated by the Microsoft Copilot Acceleration Team (CAT).

🚀 Get started

What is Azure AI Foundry? — An introduction to Azure AI Foundry, the unified platform for enterprise AI development
Core concepts — hubs, projects, connections, deployments — A foundational guide to understanding Foundry hubs, projects, connections, and deployments
Azure AI Foundry portal — Go directly to the Azure AI Foundry portal and get started
Quickstart — AI Foundry playground — Test models right away in the AI Foundry playground without code

📰 News and updates

Build 2026 Foundry news roundup — Key Azure AI Foundry announcements from Microsoft Build 2026
Foundry IQ GA announcement — General availability of Foundry IQ capabilities integrated with Copilot Studio
Hosted Agents — Announcement of new capabilities for hosting agents directly in Foundry
Agent Optimizer — Agent Optimizer automatically evaluates and optimizes agent performance
Agent memory capabilities — Memory capabilities that let Foundry agents persist conversation context
Toolboxes & Routines — Toolboxes and Routines capabilities for packaging toolsets for agents
DeepSeek V4 integration — Announcement that DeepSeek V4 models are available in Azure AI Foundry
Cross-region deployment — Cross-region deployment and routing capabilities for global agents
Full what's-new list — Complete Azure AI Foundry release notes and update history

Build 2026 sessions

📋 Adoption

Cloud Adoption Framework — AI scenario — Cloud Adoption Framework guidance for enterprise AI adoption
Responsible AI use — How to apply Microsoft's responsible AI principles to Azure services

🎓 Training and learning

MS Learn — Get started with Azure AI — Official learning path covering Azure AI services
Applied Skills — Build an Azure AI solution — Applied Skills credential that validates Azure AI capability through a hands-on project
John Savill — Azure AI Foundry series — In-depth Azure AI Foundry technical videos for cloud architects
Azure AI workshop materials — Hands-on Azure AI Foundry workshop from GitHub
AI-102 certification — Azure AI Engineer — Official certification that validates skills in designing and implementing Azure AI solutions
DP-100 certification — Azure Data Scientist — Data scientist certification that validates machine learning and AI modeling skills
AI-900 certification — Azure AI Fundamentals — Fundamentals certification for understanding AI concepts and Azure AI services

🔧 Build with Foundry

Agent Service

What is Azure AI Agent Service? — Overview of Agent Service for creating and deploying agents in Foundry
Agent Service quickstart — Step-by-step quickstart guide for creating your first Foundry agent
Agent tools — Code execution, file search, and function-calling tools available to agents
Toolbox — toolsets — How to group multiple tools into reusable Toolboxes
Agent skills — How to add reusable skill modules to agents

Prompt Flow migration

Migrate from Prompt Flow to Agent Service — Guide for moving existing Prompt Flow workflows to the new Agent Service

Foundry Local

Foundry Local GA — General availability of Foundry Local for running AI models in local environments
Get started with Foundry Local — How to install Foundry Local on a PC or server and run models

SDKs and developer tools

Azure AI SDK overview — How to use Azure AI SDKs for languages such as Python and JavaScript
Trace-based evaluation — How to trace agent runs and evaluate performance
RAG tutorial — Tutorial for building RAG (retrieval-augmented generation) with Azure AI Search and Foundry
VS Code extension — AI Foundry — Extension for developing Foundry projects in Visual Studio Code

Agent Framework

Agent Framework documentation — Official Foundry Agent Framework documentation for building multi-agent systems
Agent Framework GitHub — Open-source code repository for Azure AI Agent Framework
Skills library for Python — Collection of reusable skills you can add to Python agents
Multi-agent reference architecture — Design patterns for multi-agent systems that distribute complex work

🧠 Models and services

Model catalog

Model catalog — Catalog for exploring hundreds of models from OpenAI, Meta, Mistral, DeepSeek, and more
Model benchmarks — Compare performance benchmarks to choose the right model for your use case
Serverless deployment — Use models directly through APIs without managing infrastructure

Model Router

Model Router — Automatically route requests to the right model to optimize cost and performance

Azure OpenAI Service

Azure OpenAI Service overview — How to use OpenAI models such as GPT-4o, o3, and o4-mini on Azure

Azure AI services

Azure AI Vision — Computer vision services such as image analysis, OCR, and face detection
Azure AI Speech — Speech recognition, text-to-speech, and speech translation services
Azure AI Language — Sentiment analysis, key phrase extraction, and language understanding services
Azure AI Search — Enterprise search service that combines vector search and keyword search

📊 Evaluate and improve

Agent evaluation

Evaluate generative AI apps — Evaluation methods for measuring agent response quality, groundedness, and consistency
Evaluation SDK — Azure AI Evaluation SDK for automatically evaluating agent performance in code
Production monitoring — How to continuously monitor the performance and quality of deployed agents
Agent Optimizer — Agent Optimizer automatically optimizes agents based on evaluation results

Fine-tuning

Supervised fine-tuning (SFT) — SFT method for specializing models on specific tasks with labeled data
Reinforcement fine-tuning (RFT) — Reinforcement-learning-based fine-tuning that improves models with reward signals
Model distillation — Distillation techniques for transferring knowledge from larger models to smaller models
Stored completions — How to automatically collect production responses and use them as fine-tuning data
Synthetic data generation — How to generate synthetic training data for fine-tuning with AI

Content safety

Azure AI Content Safety — Service for detecting and filtering harmful content in agent outputs

🏗️ Architecture and best practices

Cloud Adoption Framework (CAF)

AI scenario guide — CAF guidance covering AI adoption strategy, landing-zone design, planning, readiness, and governance

Well-Architected Framework (WAF)

Well-Architected AI workloads — WAF guidance for designing AI workloads from reliability, security, and cost-optimization perspectives

Reference architectures

RAG baseline architecture (Azure AI Search) — Reference architecture for RAG with Azure AI Search and Azure OpenAI
Baseline chat app architecture — Baseline reference architecture for enterprise chat AI apps

Security and networking

Configure Private Link — Private Link setup for securely connecting to Foundry without going over the internet
Role-based access control (RBAC) — RBAC guide for managing granular access permissions to Foundry resources
Managed Identity — Managed identities for secure Azure service-to-service authentication without credentials

🏆 Customer success stories

Accenture — Foundry customer story — How global consulting company Accenture successfully adopted Azure AI Foundry
Financial services — AI story collection — Azure AI Foundry customer stories from finance, insurance, and banking
Healthcare — AI story collection — Azure AI customer stories from hospitals, pharma, and medical devices

💾 Samples and repositories

azureai-samples — Collection of official Microsoft Azure AI Foundry sample code
Agent Framework samples — Agent Framework samples that demonstrate multi-agent patterns
RAG with Azure AI Search — Complete sample app for the RAG pattern with Azure AI Search
Chat with Your Data solution accelerator — Enterprise chat AI solution accelerator for chatting with internal data
Build 2026 demo code — Azure AI Foundry demo source code shown at Microsoft Build 2026

🤝 Community

Azure AI Tech Community — Technical blogs and community discussion hub for Azure AI
GitHub Discussions — GitHub discussion space for Azure AI Foundry open-source projects
Feature feedback and requests — Suggest new Azure AI Foundry features or vote on existing requests
Stack Overflow — azure-ai-studio — Stack Overflow for sharing Azure AI Foundry technical questions and answers
Azure AI DevBlog — In-depth Azure AI technical blog from a developer perspective