# ignite25-LAB564-architect-a-goal-driven-ai-agent-with-copilot-studio

**Repository Path**: mirrors_microsoft/ignite25-LAB564-architect-a-goal-driven-ai-agent-with-copilot-studio

## Basic Information

- **Project Name**: ignite25-LAB564-architect-a-goal-driven-ai-agent-with-copilot-studio
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: CC-BY-SA-4.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-03
- **Last Updated**: 2025-10-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
<img src="img/Banner-ignite-25.png" alt="decorative banner" width="1200"/>
</p>

# [Microsoft Ignite 2025](https://ignite.microsoft.com)

## 🔥LAB564: Architect a Goal-Driven AI Agent with Copilot Studio

[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
[![Azure AI Foundry Developer Forum](https://img.shields.io/badge/GitHub-Azure_AI_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=adff2f&logoColor=fff)](https://aka.ms/foundry/forum)

### Session Description

In this hands-on lab, you'll build an advanced agent inspired by AgentWise, our internal learning assistant designed to help developers understand types of ways for building agents for Microsoft 365 Copilot. Using Copilot Studio, you’ll architect a multi-layered agent that adapts to user goals, personalizes guidance based on persona, and makes intelligent decisions using structured flows and real-time data. Along the way, you’ll learn how to combine retrieval and dynamic logic to go beyond Q&A.

### 🧠 Learning Outcomes

By the end of this session, learners will be able to:

- build production-ready, goal-driven agents in Copilot Studio 
- use decision flows, real-time data, and adaptive logic
- gain practical skills in designing multi-layered agent architectures that personalize responses based on user goals and personas using the necessary knowledge and tools such as Azure AI Search and more.

This session provides best practices and frameworks for building intelligent, scalable agents that go beyond simple Q&A.

### 💻 Technologies Used

1. Microsoft 365 Copilot
1. Microsoft Copilot Studio

### 🌟 Microsoft Learn MCP Server

[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Microsoft_Docs_MCP-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect/mcp/install?name=microsoft.docs.mcp&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Flearn.microsoft.com%2Fapi%2Fmcp%22%7D)

The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the [mcp.json](.vscode/mcp.json) file included in this repo.

For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at [https://github.com/MicrosoftDocs/MCP](https://github.com/MicrosoftDocs/MCP). Find other MCP Servers to connect your agent to at [https://mcp.azure.com](https://mcp.azure.com).

*Note: When you use the Learn MCP Server, you agree with [Microsoft Learn](https://learn.microsoft.com/en-us/legal/termsofuse) and [Microsoft API Terms](https://learn.microsoft.com/en-us/legal/microsoft-apis/terms-of-use) of Use.*

### 📚 Resources and Next Steps

| Resources          | Links                             | Description        |
|:-------------------|:----------------------------------|:-------------------|
| Ignite 2025 Next Steps | [https://aka.ms/Ignite25-Next-Steps](https://aka.ms/Ignite25-Next-Steps?ocid=ignite25_nextsteps_cnl) | Links to all repos for AI Tour 26 Sessions |
| Copilot Dev Camp | [https://aka.ms/CopilotDevCamp](https://aka.ms/CopilotDevCamp) | Learn how to extend Microsoft 365 Copilot |
| Azure AI Foundry Community Discord | [![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)| Connect with the Azure AI Foundry Community! |
| Learn at Ignite | [https://aka.ms/LearnAtIgnite](https://aka.ms/LearnAtIgnite?ocid=ignite25_nextsteps_github_cnl) | Continue learning on Microsoft Learn |

## Content Owners

<!-- TODO: Add yourself as a content owner
1. Change the src in the image tag to {your github url}.png
2. Change INSERT NAME HERE to your name
3. Change the github url in the final href to your url. -->

<table>
<tr>
        <td align="center"><a href="http://github.com/PaoloPia">
                <img src="https://github.com/PaoloPia.png" width="100px;" alt="Paolo Pialorsi"/><br />
                <sub><b> Paolo Pialorsi</b></sub></a><br />
                <a href="https://github.com/PaoloPia" title="talk">📢</a> 
        </td>
        <td align="center"><a href="http://github.com/aycabas">
                <img src="https://github.com/aycabas.png" width="100px;" alt="Ayca Bas"/><br />
                <sub><b> Ayca Bas</b></sub></a><br />
                <a href="https://github.com/aycabas" title="talk">📢</a> 
        </td>
</tr>
</table>


## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit [Contributor License Agreements](https://cla.opensource.microsoft.com).

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.