Azure Bootcamp: Build AI Workflows & Agents with Microsoft Foundry

1 Introduction
2 Automation vs. AI Agents When Enterprises Need Agents
3 AI Agents Core Components
4 Microsoft Foundry & Agent Framework Architecture
5 Setting-Up Azure AI and Microsoft Foundry
6 Setting Up Azure CLI
7 Setting Up VS Code with the AI Toolkit and Microsoft Foundry
8 Setting Up the Python Environment
9 Agent Architecture in Python How AI Agents Communicate with Azure AI Services
10 Azure AI Projects SDK vs. Microsoft Agent Framework (MAF) SDK
11 Prototyping AI Agents Using the AI Toolkit VS Code Extension
12 Creating an Agent Using the AI Toolkit
13 The Big Picture How Microsoft Foundry Fits Together
14 Building the Customer Support AI Agent in Microsoft Foundry
15 Testing the Agent in the Foundry Playground
16 Calling the Agent from VS Code
17 Tool Calling in Microsoft Foundry
18 Agent Tools in Microsoft Foundry
19 Adding a File Search Tool to the Customer Support Agent
20 Testing Retrieval-Augmented Generation (RAG) in Preview – Playground
21 Prompt Engineering for Enterprise AI Agents (Best Practices)
22 Debugging Agents with Traces
23 Memory in the Foundry Agent Service
24 Knowledge for Foundry Agents
25 Enabling Strict Grounding for the Customer Support Agent
26 Guardrails Safety, Control, and Prompt Shields for Enterprise AI Agents
27 Reassigning Guardrails
28 Exercise Imposter Syndrome
29 Creating New Guardrails
30 Best Practices for Agent Guardrails
31 Building a Front-End for the Agent Using Streamlit
32 Testing the Agent Client App and Walking Through the Code
33 AI Agents vs. AI Workflows in Microsoft Foundry
34 Building Your First AI Workflow in Microsoft Foundry – Part 1
35 Diving into the Microsoft Foundry Interface for Building Workflows – Part 1
36 Diving into the Microsoft Foundry Interface for Building Workflows – Part 2
37 Building Your First AI Workflow in Foundry – Part 2 Agent Configuration & Execution
38 Calling the Workflow from Python
39 Project Overview (Proof of Concept)
40 Creating the Workflow + First Agent
41 Adding the Refiner Agent
42 Human-in-the-Loop Approvals in Enterprise AI Workflows
43 If-Else Logic and Building a Regeneration Loop
44 Testing the Loop and Delivering the Final Approved Result
45 Thank You!