Building Enterprise AI Agents on Azure
summary
Claims a working recipe to deploy enterprise agents using Azure AI Foundry with model, knowledge and agent-workflow layers, vector RAG, connectors to Azure Storage, SQL, Cosmos and data lakes, and deployment via REST APIs, SDKs and container apps. Shows a C#/C#/.NET implementation with step‑by‑step VS Studio demo and a live use case: an EDI error detection agent that identifies EDI file faults, notifies partners and onboards vendors. Cites >80% enterprises exploring agents and ~50% adopting by 2026.
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chapters (9)
- 0:00Introduction
- 0:43AI agents and how they work
- 3:49Azure AI Foundry capabilities
- 7:03Global AI agent trends
- 9:56Real-world AI agent scenarios
- 11:39Enterprise AI with C# and .NET
- 12:23Building an AI agent demo
- 13:12Closing notes
- 13:36Q&A
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