Most AI projects don’t fail because the model is wrong. They fail because there’s no plan for what comes after. That moment when your brilliant prototype needs to grow up, scale, and survive in the real-world...that’s where things fall apart.

No version control. No deployment strategy. No way to push updates safely, monitor performance, or roll back when things break because we all know they will.

This session introduces Azure Foundry, Microsoft’s intelligent framework for deploying AI solutions that are built to last. You’ll learn how to go from notebook to production-ready intelligence.

We’ll walk through the exact pieces you need to:

1. Deploy AI models into managed applications (not just APIs)

2. Control how and where those models run: across dev, test, and prod

3. Integrate with services like Copilot Studio, OpenAI, and Azure ML

4. Build systems that can update themselves, audit themselves, and stay online

Whether you're launching copilots, retraining scoring engines, or scaling AI agents across departments, Foundry gives you more than infrastructure, it gives you a blueprint for keeping your intelligence intelligent.

Key Takeaways:

-Learn how Foundry enables multi-environment AI orchestration
-Build and deploy governed, secure, and versioned AI applications
-Discover how to integrate Azure AI Services and ML into Foundry apps
-Understand the business value of modular, scalable, cost-aware AI delivery
-See how Foundry supports NeuroModular AI Architecture by enabling dynamic retraining, rollback, and reuse

Target Audience:

1. Azure cloud architects, MLOps professionals, and AI Engineers
2. IT managers and CTOs in regulated industries
3. Microsoft partners and advanced Copilot Studio users

Session Formats:
Session (45–60 min)
Hands-On Workshop (4 hours): Build and deploy your first AI Foundry app using Azure AI Services
Full-Day Lab (8 hours): Implement a NeuroModular AI system with real-time feedback loops, OpenAI, and multi-tenant deployment