Easily move your AI prototype from local development to the cloud with Azure AI Foundry. This Microsoft quest guides you through deploying your Gen AI app using GitHub Models and Azure AI Foundry—all from VS Code. Build, test, and scale AI apps securely and efficiently. :
Move Your AI Prototype to Azure with Just One Click
Got an AI prototype running locally? Microsoft’s latest quest makes deploying it to Azure a breeze. Whether prepping for demos or testing in real-world conditions, this is your launchpad to the cloud.
What’s New: Seamless Migration from GitHub Models to Azure AI Foundry
Microsoft introduces a one-click migration from GitHub Models to Azure AI Foundry. GitHub Models is a playground for experimenting with AI, while Azure AI Foundry is the enterprise-grade platform for deploying AI at scale.
With this update, your prototype moves from local testing to production-ready infrastructure instantly. The process is integrated directly into Visual Studio Code, making it super convenient.
“This is where your prototype becomes real.” — Microsoft Developer Community Blog
Major Updates: Azure AI Foundry VS Code Extension
The new Azure AI Foundry extension for VS Code is a game changer. It lets you build, test, and deploy AI agents right inside your code editor. No need to switch tools or platforms.
Customize foundation models, manage agent behavior, and deploy with confidence. This extension brings full Azure AI Foundry power into your local workflow.
Security First
Microsoft emphasizes best security practices. Always store API keys and connection strings in Azure Key Vault. If you use a local .env file, add it to your .gitignore to keep secrets safe.
Why This Quest Matters to Developers
- Learn to deploy AI apps from local to cloud in minutes.
- Gain hands-on experience with Azure AI Foundry directly from VS Code.
- Build confidence deploying AI on enterprise-ready infrastructure.
All you need is a GitHub account, an Azure subscription, and Visual Studio Code. You’ll be live before your coffee gets cold!
“Just you, your code editor, and a model ready to turn your ideas into something real.” — Microsoft Developer Community Blog
Bonus Resources to Keep You Going
Want to dive deeper? Check out these resources:
- Learn about GitHub Models and their role in AI workflows.
- Install the Microsoft AI Tools Extension Pack for VS Code.
- Explore the Azure AI Foundry Extension preview and docs.
- Watch the demo-packed session on building and deploying LLM apps.
Final Thoughts
This quest marks a major step in making AI development accessible and scalable. With Azure AI Foundry and VS Code integration, deploying your AI app is now faster and more secure.
Jump in, build securely in the cloud, and see how far JavaScript and AI can take you. Don’t forget to join the JS AI Build-a-thon on Discord to connect with fellow builders.
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