Deploy GPT on Azure AI Foundry — Step-by-Step to Production

Description

In this video, I walk through how to deploy a GPT model using Azure AI Foundry in a production-ready setup. This is not just a basic demo — we cover how to structure a real-world deployment including model setup, API access, and integration patterns used in enterprise environments. If you're an engineer, architect, or technical leader looking to build scalable AI applications, this guide will help you understand how GPT deployment works on Azure in a practical way. 🔹 What you'll learn: - How to create and configure Azure AI Foundry - Deploy GPT models (GPT-4 / GPT-4o) - Access endpoints and API keys - Integrate GPT into applications - Best practices for production deployment 🔹 Who this is for: - Software Engineers - Engineering Managers / TPMs - Architects working on AI systems - Anyone building enterprise AI solutions 🔹 Tech Stack: - Azure AI Foundry - Azure OpenAI - .NET / REST APIs 💡 Coming next: - RAG with Azure AI Search - AI Agents using Azure - Scaling GenAI systems in production If you found this useful, consider subscribing for more deep-dive content on AI systems and engineering leadership. #AzureAI #AzureAIFoundry #GPT #OpenAI #GenerativeAI #AIEngineering #CloudComputing #AzureOpenAI #MachineLearning #SoftwareEngineering #AIArchitecture #TechLeadership #AIForDevelopers #EnterpriseAI