microsoft/mcs-labs
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README:
🤖 Microsoft Copilot Studio Labs 🧪
> 💡 Looking for an easier way to browse these labs? Check out our interactive web portal for a better reading experience: Microsoft Copilot Studio Labs Portal 🌐
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| Title | Download | Overview | | ----- | -------- | -------- | | Create your own web-based AI assistant with Agent Builder | [agent-builder-web](./labs/agent-builder-web) | Create a Copilot agent in Microsoft 365 Copilot Chat with Agent Builder. The agent acts as a learning companion grounded in official Microsoft documentation to assist users with questions about Copilot agents. | | Create a Monthly Business Review (MBR) Agent | [mbr-prep-sharepoint-agent](./labs/mbr-prep-sharepoint-agent) | Build a conversational MBR agent using Microsoft Copilot Studio and SharePoint. The agent streamlines MBR preparation by extracting key insights, surfacing trends, and answering questions directly from uploaded decks. | | Create AI Solutions with Standard Orchestrator in Copilot Studio | [standard-orchestrator](./labs/standard-orchestrator) | Create your first agent in Microsoft Copilot Studio. Learn the fundamentals including topic creation, message and question nodes, testing, and deployment. | | Build Progressive AI Assistants with Agent Builder in Microsoft 365 | [agent-builder-m365](./labs/agent-builder-m365) | Master agent creation from basic web-grounded assistants to advanced SharePoint-integrated agents with code interpreter and image generation capabilities. | | Proactive Contract Alerts in Teams with Azure AI Search and Speech-to-Text | [contract-alerts-azure-ai](./labs/contract-alerts-azure-ai) | Configure Copilot Studio agents to proactively notify users when new files are added to Azure Blob Storage, connect Azure AI Search as a knowledge source, and integrate Azure Speech-to-Text services to transcribe audio files. | | Copilot Studio Agent Academy - Recruit Level | Agent Academy | Comprehensive 13-lesson curriculum covering agents, LLMs, declarative and custom agents, Topics, Adaptive Cards, Agent Flows, and deployment to Teams and Microsoft 365 Copilot. | | Build Intelligent Agents with Knowledge Sources, Tools, and Topics | [core-concepts-agent-knowledge-tools](./labs/core-concepts-agent-knowledge-tools) | Learn how to create an AI agent from scratch in Copilot Studio, enhance it with knowledge sources, extend its capabilities with tools, and build custom topics for structured conversations. | | Master Variables, Multi-Agent Architectures, and Channel Deployment | [core-concepts-variables-agents-channels](./labs/core-concepts-variables-agents-channels) | Manage conversation state with variables, build specialized child agents for modular solutions, and deploy your agent across multiple channels to reach users where they work. | | Monitor Performance and Evaluate Agent Quality | [core-concepts-analytics-evaluations](./labs/core-concepts-analytics-evaluations) | Use analytics to measure agent performance, create evaluation test sets to systematically assess agent quality, and run evaluations to drive continuous improvement. | | Set yourself up for success & discover ALM best practices | [setup-for-success](./labs/setup-for-success) | Learn ALM best practices in Microsoft Copilot Studio. Structure your solutions, manage configurations, and enable Git-based source control to avoid common pitfalls like manual rework, overwritten changes, and fragile deployments. | | Create your own SharePoint-based AI assistant with Agent Builder | [agent-builder-sharepoint](./labs/agent-builder-sharepoint) | Create a SharePoint-integrated AI assistant using Agent Builder in Microsoft 365. The agent can analyze Excel data from SharePoint, reference policy documents, and deliver insights through dynamic charts and images using code interpreter and image generation. | | Create an 'Ask me anything' agent for your employees | [ask-me-anything](./labs/ask-me-anything) | Build a multi-agent IT Support solution using Microsoft Copilot Studio. Your primary agent intelligently routes queries to specialized sub-agents for ServiceNow knowledge and incidents, delivering fast, accurate answers across systems like SharePoint and ServiceNow. | | Bring Your Own Model (BYOM) to Copilot Studio | [mcs-byom](./labs/mcs-byom) | Integrate models from Azure AI Foundry into Copilot Studio agents using the Bring Your Own Model (BYOM) capability, enabling specialized AI functionality tailored to your business needs. | | Expense Claims Agent with Approvals (Human-in-the-Loop) | [human-in-the-loop](./labs/human-in-the-loop) | Build an end-to-end expense claims solution. An employee submits an expense report through a conversational agent, which triggers an agent flow to extract key details and evaluate the claim against policy using Multistage and AI approvals. | | Using Multi-Agent in Copilot Studio | [mcs-multi-agent](./labs/mcs-multi-agent) | Learn how to leverage multi-agent configurations to build scalable, contextually-aware solutions. Understand when to use connected agents versus child agents, how to logically group tools and knowledge, and how to overcome limitations in tools and topics. | | Orchestration with Copilot Studio | [mcs-orchestration](./labs/mcs-orchestration) | Explore how Copilot Studio's generative orchestration engine works hands-on. Tune Instructions and Descriptions to guide the planner, debug routing decisions with the activity tracker and Get rationale, and enable Enhanced Task Completion to see the Reasoning Loop drive multi-step tasks to completion in a single turn. | | Using Component Collections in Copilot Studio | [component-collections](./labs/component-collections) | Create, share, and manage reusable component collections to package topics and knowledge across multiple agents. Learn how to share components across agents with automatic sync and control access with primary agent settings. | | Copilot Studio Tools | [mcs-tools](./labs/mcs-tools) | Extend your agents with powerful tools including custom connectors, agent flows for deterministic business logic, MCP servers for live data access, custom prompts for structured responses, and Computer Using Agents (CUA) for legacy system…
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