Azure AI Foundry Tutorial: Deploy GPT Models | Ep 3

Azure AI Foundry tutorial (Microsoft Foundry) for .NET and C# developers: create the Azure OpenAI resource step by step and deploy GPT-4.1-mini, text-embedding-3-small and gpt-image-1-mini for a RAG application. Episode 3 of the Kodify Dev "RAG in .NET" series. In this episode we build the AI side of our C# and .NET 10 RAG app for real, in the Azure portal and the Microsoft Foundry portal: a new Azure resource group, a Microsoft Foundry resource (every wizard tab explained), the keys and endpoint our ASP.NET Core Web API needs, three OpenAI model deployments, and a test of each model in the playground. (Azure AI Foundry was renamed Microsoft Foundry, so you will see both names.) At the end, we save the setup notes in the repo and push them to GitHub. In this episode: ✅ Creating an Azure resource group, plus naming conventions and tags ✅ Creating a Microsoft Foundry (Azure AI Foundry) resource: Basics, region choice, default project, Storage, networking, managed identity and encryption ✅ Keys and Endpoint: why there are two keys, and which endpoint our .NET API uses ✅ The Foundry portal: the model catalog, deployment types (Global Standard), tokens-per-minute limits and guardrails ✅ Deploying OpenAI models: gpt-4.1-mini, text-embedding-3-small and gpt-image-1-mini ✅ Testing the chat model and the image model in the Azure AI playground ✅ Saving the setup notes (no keys!) in VS Code and pushing to GitHub ⏱️ Chapters 00:00 Intro: Azure AI Foundry setup for RAG 00:29 What we create in Azure 01:00 The Azure portal 01:16 Creating an Azure resource group 01:43 Naming conventions and regions 02:07 Tags 02:25 Review + create 02:35 Finding Microsoft Foundry in the marketplace 03:03 Foundry wizard: Basics 03:37 Choosing the region 03:59 The default project 04:14 Storage 04:41 Inbound and outbound networking 05:10 Identity (managed identity) 05:30 Encryption 05:47 Review + create 06:00 Azure cost while we wait 06:41 The new Microsoft Foundry resource 07:03 Keys and Endpoint 07:31 The Azure OpenAI endpoint 07:52 The Microsoft Foundry portal 08:12 The model catalog 08:29 Why gpt-4.1-mini 08:53 Deployment settings: type, TPM and guardrails 09:29 Our first deployment (gpt-4.1-mini) 09:47 Deploying text-embedding-3-small 10:21 Deploying gpt-image-1-mini 11:00 All three model deployments 11:10 Testing in the chat playground 11:42 Testing the image playground 12:31 Values for our .NET API 12:49 Saving the notes in VS Code 13:17 Commit and push to GitHub 📚 Enterprise RAG in .NET: the full course (watch in order) Ep 1 · RAG in C# & .NET 10: live demo, tech stack and project setup:    • RAG in C# & .NET 10: Build an Enterprise R...   Ep 2 · RAG explained: embeddings, chunking, vector and hybrid search:    • RAG Explained for Beginners: How It Works ...   Ep 3 · Azure AI Foundry (Microsoft Foundry) and Azure OpenAI model deployments:    • Azure AI Foundry Tutorial: Deploy GPT Mode...   Ep 4 · Azure AI Search and Blob Storage setup:    • Azure AI Search Tutorial for RAG: Service ...   Ep 5 · Web API backend and the first AI agent:    • Microsoft Agent Framework in C#: Your Firs...   Ep 6 · Knowledge ingestion: Blob Storage, indexer, skillset and vectorizer:    • Azure AI Search Indexer in C#: RAG Ingesti...   📦 Code for this episode: https://github.com/shahidnoor19/kodif... 📝 Today's notes: https://github.com/shahidnoor19/kodif... 📦 Full repository: https://github.com/shahidnoor19/kodif... ▶️ Full playlist:    • RAG in C# & .NET 10: Full Course (Azure AI...   ⬅️ Previous: Ep 2 · RAG explained in depth:    • RAG Explained for Beginners: How It Works ...   ➡️ Next: Ep 4 · Azure AI Search and Blob Storage setup:    • Azure AI Search Tutorial for RAG: Service ...   🧰 Stack: C# · .NET 10 · ASP.NET Core Web API · Angular · Microsoft Agent Framework · Microsoft Foundry / Azure AI Foundry (gpt-4.1-mini, text-embedding-3-small, gpt-image-1-mini) · Azure AI Search · Azure Blob Storage ℹ️ The keys shown in this video belong to resources that were deleted before publishing. 🔗 Connect GitHub: https://github.com/shahidnoor19 LinkedIn:   / shahid-noor-4563a6222   🔔 Subscribe to Kodify Dev for .NET, Azure, Angular and AI tutorials, and turn on notifications for the next episode. #RAG #dotnet #csharp #MicrosoftFoundry #AzureOpenAI