https://github.com/shivamgoyal03/azure-foundry-webinar

This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.
https://github.com/shivamgoyal03/azure-foundry-webinar

agentic-ai-architecture agentic-rag ai-agents azure azure-ai-foundry azure-ai-services azure-functions code-samples model-context-protocol semantic-kernel tutorial webinar

Last synced: 4 months ago
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This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.

• Host: GitHub
• URL: https://github.com/shivamgoyal03/azure-foundry-webinar
• Owner: ShivamGoyal03
• License: mit
• Created: 2025-06-25T19:01:48.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-06-29T11:14:17.000Z (4 months ago)
• Last Synced: 2025-06-29T12:26:38.602Z (4 months ago)
• Topics: agentic-ai-architecture, agentic-rag, ai-agents, azure, azure-ai-foundry, azure-ai-services, azure-functions, code-samples, model-context-protocol, semantic-kernel, tutorial, webinar
• Language: Jupyter Notebook
• Homepage:
• Size: 538 KB
• Stars: 3
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# AI Mastery Series: Basics to Deployment on Azure AI Foundry

Welcome to the Azure AI Foundry Agent Service Webinar Series! This repository contains all materials and code samples for each session, designed for freshers to mid-level participants.

## 👩‍🏫 Speakers & Content Owners

Meet your Microsoft MVPs in AI leading this series:

- **Shivam Goyal** — [LinkedIn](https://linkedin.com/in/shivam2003) | [GitHub](https://github.com/ShivamGoyal03/)

- **Aakriti Aggarwal** — [LinkedIn](https://www.linkedin.com/in/aakritiaggarwal13/) | [GitHub](https://github.com/aakriti1318)

- **Shreya Khandelwal** — [LinkedIn](https://www.linkedin.com/in/shreyakhandelwal99/) | [GitHub](https://github.com/Shreya-khandelwal)

## 📅 Agenda & Timeline

| Date         | Topic                                             |

|--------------|---------------------------------------------------|

| 27th June    | 1st Session - Basic AI Agents + Azure AI Foundry  |

| 28th June    | 2nd Session - Azure AI Foundry Hands-on           |

| 29th June    | 3rd Session - MCP (prebuilt servers) + Deployment |

---

## 🎬 Session Recordings

- [Webinar Recording Folder (All Sessions)](https://1drv.ms/f/c/7a6bf7d5d458060e/EoIEyzd_kHhFgvRDANMGq_QBP-W_laOEQREmzDUhDk4n5w)

## 📂 Repository Structure

- [`day-1/`](./day-1/) — Introduction to AI Agents & Azure AI Foundry

- [`day-2/`](./day-2/) — Azure AI Foundry Hands-on

- [`day-3/`](./day-3/) — MCP & Deployment

> **Note:** Any code samples for each day will be found inside the respective folders, organized in subfolders such as `code/` if added in the future.

## 📚 Resources

- [Azure AI Foundry Agent Service Overview](https://learn.microsoft.com/en-us/azure/ai-services/agents/overview)

- [AI Agents for Beginners (GitHub)](https://github.com/microsoft/ai-agents-for-beginners)

- [MCP For Beginners (GitHub)](https://github.com/microsoft/mcp-for-beginners)

- [Step by Step: Create Azure AI Agent](https://techcommunity.microsoft.com/blog/EducatorDeveloperBlog/step-by-step-tutorial-building-an-ai-agent-using-azure-ai-foundry/4386122?WT.mc_id=%3Fwt.mc_id%3DMVP_452430)

- Join the Azure AI Discord Community to meet other learners and AI Agent Builders and ask any questions you have.

## 🚀 How to Use This Repo

1. Navigate to the relevant day folder for session materials.

2. Review the README and code samples for each day.

3. Try out the code samples and follow the hands-on guides.

4. Use the resource links for deeper learning.

---

## ⭐ About the Use Cases

A key part of this series is the exploration of real-world **MCP (Model Context Protocol) use cases**. These use cases show how Azure-based agents can solve practical problems using modular, composable architectures.

- Each use case is documented in detail in [`day-2/use-cases/`](./day-2/use-cases/).

- For each use case, you'll find:

  - **Description**: What problem does the agent solve?

  - **Azure MCP Architecture**: How does the solution leverage Azure services and MCP servers?

  - **Workflow & Diagrams**: Visual breakdowns of agent interactions and data flow.

  - **Example Actions & Pseudocode**: How the agent calls MCP actions.

  - **Resource Links**: Learn more about the Azure services used.

👉 **Browse all use cases:** [MCP Use Cases Overview](./day-2/use-cases/README.md)

---

Feel free to fork this repository and use it as a learning companion throughout the webinar series!