Copilot Studio

Overview

This course introduces learners to designing intelligent agents using Microsoft Copilot Studio, a powerful low-code platform. You'll move from mastering Copilot basics to building and deploying AI-powered agents that solve real business problems. Through hands-on labs and guided projects, you’ll practice prompt design, logic workflows, platform integrations, and performance tuning. By the end, you’ll have the confidence to build, iterate, and launch your own business-ready AI solutions.

Syllabus

Lesson 1: Inside Copilot Studio: Building Blocks of Agent Design

In this lesson, learners will dive deep into the architecture and core capabilities of Microsoft Copilot Studio. You’ll examine what makes Copilot Studio different from traditional bot frameworks—its low-code interface, AI integration, and flexible data connectors. By comparing components like topics, entities, trigger phrases, and generative answers, you’ll build a mental model for how agents function from start to finish.

Lesson 2: From Concept to Clicks: Building AI Agents in Copilot Studio

This lesson walks learners through the full cycle of building an AI-powered agent in Copilot Studio—from setting up topics to layering in generative responses and adding external data. You’ll apply structured logic and explore how to make your agent more human-like and adaptive using Copilot’s GPT-powered features.

Lesson 3: Ready for the Real World: Testing, Deploying, and Improving Agents

You’ve built your agent—now what? In this final lesson, learners will test their agents, explore channel deployment (Teams, websites, etc.), and gather user feedback to refine behavior. You’ll also explore how to monitor, evaluate, and continuously improve agents post-deployment for real-world scale.