Udemy
Microsoft Copilot Studio - The Copilot Studio Masterclass
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence. The Master Microsoft Copilot Training course is designed to help professionals harness the full potential of Microsoft Copilot across the Microsoft 365 ecosystem. Whether you are a business professional, manager, consultant, analyst, HR specialist, trainer, or project manager, this hands-on course teaches you how to use AI to automate routine work, improve collaboration, and boost productivity using Microsoft's intelligent assistant.
The course begins with the fundamentals of Microsoft Copilot, where learners explore the Microsoft Copilot ecosystem, including Microsoft 365 Copilot, Copilot Chat, Copilot in Windows, GitHub Copilot, and Copilot Studio. You will understand how Microsoft Graph powers Copilot, how work data differs from web data, and how to apply responsible AI practices while working with organizational content.
A major focus of the course is on prompt engineering and Copilot Chat. You will learn how to create effective prompts, build reusable prompt libraries, summarize meetings and conversations, generate business content, and refine AI responses for different audiences and business scenarios.
The course also provides practical training across Microsoft Word, Excel, PowerPoint, Outlook, Teams, and One
Note. You will draft reports, create presentations, analyze data, generate formulas, summarize emails, produce meeting notes, extract action items, and automate everyday business tasks using AI-powered workflows.
Advanced modules introduce Copilot Studio, demonstrating how to create simple copilots, understand topics and conversation flows, and explore enterprise adoption strategies. The course concludes with end-to-end productivity scenarios, governance best practices, and a practical adoption plan that helps learners integrate Microsoft Copilot into their daily work.
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Udemy: 2026-10-22 · Coursera: 2026-10-22 · O'Reilly: 2026-10-22 · 365 Data Science: 2026-10-22
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