Library / Artificial Intelligence
Build No-Code AI Agents with Microsoft Copilot Studio
On Udemy
About this course
Build an AI agent that does more than chat. In this hands-on course, you'll use Microsoft Copilot Studio to create a Support Helper agent that answers questions from trusted knowledge, collects request details, asks for confirmation, and creates a real record in SharePoint, all without writing code.
Many beginner courses stop at a simple chatbot. This one goes further. You'll learn how to give your agent actions with Power Automate, add human approval for urgent requests, and handle failures honestly so the agent never invents a ticket number or claims success when nothing happened.
What you'll build and learn:- How generative AI and AI agents work, and when an agent is the right tool- How to create, configure, and test your first agent in Copilot Studio- How to ground your agent in knowledge sources so it answers accurately- How to build topics that collect information, branch on conditions, and confirm before acting- How to connect your agent to Power Automate flows that write records to SharePoint- How to add human approval for urgent requests and fail safely- How to write a test set, review least-privilege access, and publish to a limited audience- How to diagnose problems with tracking, variables, and flow activity, then fix and retest
How the course works:
Each module follows one connected project. You'll watch a short explanation, follow a step-by-step demo, and complete a practice task or assignment. Every example uses fictional data in a separate practice environment, so you can experiment safely.
Who this course is for:
Beginners, business professionals, IT, HR, and operations teams, and Microsoft 365 users who want to build practical AI agents without becoming programmers.
What you need:
- A work or school Microsoft account with access to Copilot Studio, Power Automate, and SharePoint (a trial or developer tenant works).
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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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