Azure Decoded: The Developer's Guide to AI Agents on Microsoft Foundry

Описание: Ready to build AI that actually does things? In this hands-on session, Aaron Stark walks you through creating your first AI agent using Microsoft Foundry—Microsoft’s unified platform for building, deploying, and managing AI applications.

You’ll learn how to move beyond simple chat completions to agents that can reason, plan, and take action. We’ll cover the core concepts of agentic AI, explore Microsoft Foundry’s agent capabilities, and build a working agent live—from prompt engineering to tool integration to deployment.

Whether you’re an AI-curious developer or already building with Azure OpenAI, this session gives you the practical skills to start building agents that can transform how your applications interact with the world.

What you’ll learn:
What makes an AI agent different from a chatbot
Microsoft Foundry’s agent development capabilities
How to design agent workflows with reasoning and tool use
Connecting agents to external data and APIs
Best practices for testing and deploying agents in production

Chapters:
0:08 Welcome & Housekeeping
0:21 Code of Conduct and Chat Guidelines
0:47 Session Recording and On‑Demand Info
0:59 Speaker Introductions
1:11 Overview: AI Agents on Microsoft Foundry
2:26 What Is an Agent? Reason, Act, Learn
3:26 Agent Feedback Loops and Tool Use
4:49 Evolution from Chatbots to Agents
5:19 Developer Perspective on Agent Reasoning
6:39 Industry Evolution and Agent Maturity
7:19 Friction in Scaling Agentic Systems
8:49 From Automation to Adaptive Agents
10:10 Why Build Agents in Code vs Low/No Code
11:01 Developer Experiences with Code‑First Agents
14:26 Benefits of Code‑First Agent Development
16:26 Challenges Building and Scaling Agents
18:29 Fragmented Frameworks and Tooling Gaps
20:24 Semantic Kernel vs Agent Framework
23:09 Human‑in‑the‑Loop and Risk Management
26:01 Practical Boundaries for Agent Automation
28:55 Introducing Microsoft Agent Framework
32:03 What a Modern Agent Platform Needs
34:19 Azure AI Foundry and Developer Options
38:32 Agent Framework Architecture Overview
41:18 Gaps Without an Agent Framework
44:19 Semantic Kernel and AutoGen Convergence
47:24 Why Agent Framework Feels Different
50:37 Unified SDK and Agent Primitives
52:11 First “Hello World” Agent Experience
54:01 From Proof of Concept to Production
55:02 Local‑First and Cloud‑Agnostic Development
56:28 Multi‑Agent Orchestration Patterns
58:18 Key Takeaways and Future Episodes
59:26 Closing Remarks and Series Wrap‑Up

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