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| Source control and deploy your agents | [pipelines-and-source-control](./labs/pipelines-and-source-control) | Deploy Copilot Studio agents with confidence using Power Platform pipelines. In this hands-on lab, you'll learn how to automate and govern your deployment process across multiple environments. From creating robust pipelines to handling post-deployment configuration and source control, you'll gain practical skills to implement repeatable ALM workflows with built-in validation, managed environments, and Git integration—ensuring every deployment is consistent, secure, and production-ready. |
| Copilot Studio Kit | [copilot-studio-kit](./labs/copilot-studio-kit) | Automate quality assurance for your Copilot Studio agents with the Copilot Studio Kit. In this lab, you'll configure and run automated test scenarios, validate agent behavior using multiple test types, and gain actionable insights through analytics. You'll also explore advanced tools like conversation KPIs, UI customization, and governance dashboards—equipping you to ship high-quality, secure, and scalable AI agents with confidence. |
| Model Context Protocol (MCP) & Copilot Studio | [MCS-MCP Lab](https://github.com/microsoft/mcsmcp) | In this lab, you will learn how to deploy an MCP Server and integrate it with Microsoft Copilot Studio. You’ll explore how to set up the MCP Server, enabling context-aware agents, and then how to add it into Copilot Studio for streamlined deployment and management. |
| Create your own document ingestion pipeline with AI | [ingestion-pipeline-with-mistral-document-ai](./labs/ingestion-pipeline-with-mistral-document-ai) | Build an intelligent document processing system that automatically extracts structured content from SharePoint uploads using Azure OpenAI Mistral Document AI, and adds it to Copilot Studio knowledge base via automated Power Automate flows and custom connectors. |

## 📚 Documentation & Contributing

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