
Explore Microsoft Copilot Studio to build AI agents with the Power Platform, publish to Teams and external channels, even without advanced IT skills.
Explore Copilot Studio within the Power Platform, a low-code tool for creating ai agents and agent flows, and compare it with Microsoft 365 Copilot in channels and deployment.
Access Copilot Studio from Microsoft 365, set up a dedicated environment for the course, and learn to manage agents, flows, and governance for secure AI development.
Set up a new Power Platform environment to host Copilot Studio agents, configure admin permissions and governance, and prepare for licensing, Dataverse storage, and publishing.
Publish your agent to Microsoft Teams by selecting publish, adding channels, and configuring authentication to enable access in Microsoft 365 Copilot and Teams while managing costs and licensing.
Explore how Copilot Studio uses topics, tools, and knowledge sources to power agents with conversation context, and compare classic vs generative orchestration via LLM reasoning.
Explore agent orchestration in Copilot Studio, comparing generative and classic modes. See how agents use knowledge sources and context to answer questions and follow-ups.
Create a custom topic in Copilot Studio by defining trigger phrases and building a trigger-driven flow. Explore classic and generative orchestrations and triggers like message received and user inactivity.
Build the on-call topic by uploading two policy documents, customize instructions to limit the agent to on-call queries, and configure department entries with smart matching for accurate responses.
Use variables as memory in Copilot Studio, with data types, choice options, and overwriting within a conversation. Save user answers with scope controls from topic to global.
Master branching logic in Compile Studio by using conditions and variables to route the topic flow based on user location, handling Toronto and Montreal with validation and retries.
Master how to configure a generative answers node for on-call policies, restricting sources to Toronto and Montreal policies, apply custom instructions, and deliver bilingual responses.
Modularize agent logic into topic-based units and route to a dedicated user department topic with sales and customer success as defaults, returning the selected department to guide on-call decisions.
Celebrate completing the course and look ahead to future updates. Explore Compile Studio, Microsoft tools, Power Platform, and Power Automate resources, plus the Digital Mill blog and YouTube channel.
Artificial Intelligence is not reserved for developers. With Microsoft Copilot Studio, you can build powerful AI agents using a low-code, business-friendly approach.
This course takes a hands-on, project-based approach to learning Copilot Studio. Instead of focusing primarily on theory, you'll learn by building agents and applying them to practical business scenarios.
You’ll start by understanding Copilot Studio and building your first conversational agent. From there, you’ll learn how to work with topics, triggers, variables, conditions, conversation context, generative answers, and agent orchestration.
And this course goes beyond conversational agents and chatbots. You’ll build a complete AI-powered leave request management solution, where an agent can receive a request, analyze information, work with business data, and automate parts of the process. Along the way, you'll work with tools, custom prompts, Agent Flows, and Model Context Protocol.
You'll then take things further by building a multi-agent case management solution. You'll create an orchestrator agent and multiple specialized agents that collaborate to handle different parts of a business process—from application support to machine support and service scheduling.
What You will Build?
Throughout the course, you'll work on practical solutions that demonstrate how Copilot Studio can be used beyond simple chatbots:
Conversational AI agent — Build and publish an agent that can understand users and handle dynamic conversations.
AI Leave Request Management — Automate a business process using agents, tools, prompts, business data, and Agent Flows.
Multi-Agent Case Management — Build multiple specialized agents coordinated by an orchestrator to automate a more complex business scenario.
What You will Learn?
By the end of the course, you will be able to:
Build and publish AI agents using Copilot Studio
Design conversations using topics, triggers, variables, and conditions
Use generative AI and external knowledge sources
Add tools and actions to your agents
Create and use custom prompts
Build Agent Flows for business process automation
Understand and apply Model Context Protocol
Design agent orchestration and multi-agent solutions
Test and refine AI agents for practical business scenarios
A Course That Grows With You
This course is designed as an evolving learning experience. Over time, new lectures, projects, and more advanced scenarios will be added as Copilot Studio and the AI agent landscape continue to evolve.
If you enroll early, you'll keep lifetime access to future course updates at no additional cost.
You don't need to be a programmer or an AI expert to get started. If you understand basic business processes and want to learn how AI agents can be applied to real-world automation, this course is a practical place to begin.
Don't just learn what AI agents can do. Build them yourself.