Enterprise AI Agent Development with Microsoft Foundry
Design secure, grounded, and governable AI agent systems on Azure
Created by Trevoir Williams
Learn how to design and build secure, evidence-based AI agent systems ready for enterprise production. Using a realistic Azure scenario, you'll work hands-on with Microsoft Foundry, .NET, and essential governance tools to create agents that are reliable, observable, and easy to manage.
Packt | Sep 2026 | 332 min
What You Will Learn
You'll follow a real-world enterprise scenario that introduces concepts through guided demonstrations and practical exercises. Each section connects architecture, implementation, and governance, helping you make informed decisions about security, observability, and deployment. Role-based reviews reinforce your understanding as you progress.
Key Features
- Design secure agent architectures and manage identity and access in Azure environments
- Build and govern AI agents using .NET, Foundry Agent Service, and permission-aware tools
- Trace, evaluate, and prepare agents for production with observability and release checks
Target Audience
This course is ideal for AI engineers, .NET and cloud developers, ML engineers, architects, and technical leads working with enterprise agent solutions on Azure. You should be comfortable with C#, .NET console apps, and Azure basics like resources and identity. No prior experience with agent frameworks is needed, but access to an Azure environment with Microsoft Foundry is required.
