Bring Your Own Model Within the GitHub Copilot App

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Bring your own AI model to the GitHub Copilot app with Microsoft Foundry and Azure. Learn how to create Foundry resources with the Azure MCP Server, deploy a model, configure a model provider, connect securely with an API key, and fix token rate limits. Episode 8 of 10 in Build your personal brand with Copilot. Continue to Episode 9 and explore the full series: https://aka.ms/student-learning-series-website Build your personal brand with Copilot is a beginner-friendly Microsoft Developer series for students. Follow Microsoft employees as they use GitHub Copilot, Visual Studio Code, GitHub Pages, Microsoft Foundry, MCP servers, and agent skills to create, publish, and improve a professional portfolio website. In this episode: 0:00 Welcome and bring your own model overview 0:17 Why model choice and token limits matter 0:45 Exploring model providers and hosting options 1:55 Introducing Microsoft Foundry and Azure for Students 2:39 Understanding the Azure portal, credits, and costs 3:30 Creating resources with the Azure MCP Server 4:12 Installing Azure MCP and signing in 5:40 Creating and verifying Microsoft Foundry resources 7:58 Understanding endpoints, API keys, and deployments 8:55 Deploying a GPT-5 mini model with Copilot 10:49 Connecting Microsoft Foundry as a model provider 11:46 Adding and selecting the deployed model 12:56 Fixing a token rate limit and testing again 14:21 Recap of Azure, Microsoft Foundry, and bring your own model Connect with the presenter: Alexand

Published 2026-08-21 · Watch on YouTube ↗
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