Microsoft Copilot Studio: AI Agents, RAG, MCP & AI Security (Udemy.com)

Microsoft Copilot Studio is powerful — but in enterprise environments, security and governance are not optional.

In this course, you will learn how to build, extend, and secure AI agents using Microsoft Copilot Studio, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and enterprise-grade security controls.

This course goes beyond building chatbots.

You will understand how Copilot agents operate inside Microsoft 365, how grounding works with Microsoft Graph and SharePoint, and how to design secure AI architectures for real organizations.

You will learn how to:

• Build AI agents using Microsoft Copilot Studio

• Implement RAG using SharePoint and enterprise data sources

• Extend agents using Model Context Protocol (MCP) and external APIs

• Configure authentication using Entra ID and secure OBO flows

• Apply governance and compliance using Microsoft Purview

• Understand and configure Entra Agent ID for access control

• Design secure, auditable AI solutions for enterprise deployment

Security is a core theme throughout this course.

You will see how Agent identity, Conditional Access, RBAC, and Purview policies influence how Copilot agents access data — and how to prevent unauthorized exposure.

By the end of this course, you won’t just know how to build an AI agent.

You will know how to build one that passes enterprise security scrutiny

This course is ideal for Microsoft 365 administrators, Azure AI engineers, solution architects, and consultants responsible for secure AI adoption.

AI adoption without governance creates risk.

This course teaches you how to build responsibly — and securely.