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.

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Empfohlene Erfahrung
Kompetenzen, die Sie erwerben
- Kategorie: Generative AI Agents
- Kategorie: Data Integration
- Kategorie: Application Deployment
- Kategorie: Prompt Engineering
- Kategorie: AI Workflows
- Kategorie: User Feedback
- Kategorie: Model Deployment
- Kategorie: No-Code Development
- Kategorie: AI Enablement
- Kategorie: Business Logic
- Kategorie: Performance Tuning
- Kategorie: Microsoft Copilot
- Kategorie: Scalability
Wichtige Details

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Dezember 2025
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In diesem Kurs gibt es 3 Module
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.
Das ist alles enthalten
3 Videos2 Lektüren1 Aufgabe
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.
Das ist alles enthalten
2 Videos1 Lektüre1 Aufgabe
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.
Das ist alles enthalten
3 Videos1 Lektüre3 Aufgaben
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¹ Einige Aufgaben in diesem Kurs werden mit AI bewertet. Für diese Aufgaben werden Ihre Daten in Übereinstimmung mit Datenschutzhinweis von Courseraverwendet.




