AB 620- Design and Build Integrated AI Agent Solutions in Copilot Studio

Audience:

This course is designed for advanced builders and professional developers who want to design, extend, and integrate Copilot Studio agents. Your goal is to automate real business processes by connecting agents to enterprise data, systems, and services—while applying sound design, security, governance, and responsible AI practices. You should already have hands‑on experience building agents in Copilot Studio, an intermediate understanding of generative AI concepts, proficiency working with REST APIs, and familiarity with the broader Microsoft cloud platform.

Prerequisites:

Before attending this course, students must have: Ability to create, configure, test, and publish an agent in Microsoft Copilot Studio; Permissions to create solutions and agents in a Power Platform environment • Familiarity with agent topics, knowledge sources, and tools in Copilot Studio; Access to Microsoft Copilot Studio; Conceptual familiarity with REST APIs and web services

Course Description:

In this course, you learn how to design, build, and manage production‑ready AI agent solutions using Microsoft Copilot Studio—with a focus on building agents that integrate across systems and operate reliably at enterprise scale. You’ll go beyond creating standalone agents and learn how to deliver end‑to‑end solutions that automate real business processes, connect to enterprise data, and take meaningful action across platforms. Throughout the course, you’ll apply best practices for integration, governance, security, and responsible AI, so your agents are ready for real‑world deployment.

Course Objectives:

With a focus on practical applications, the course covers:

• Design Copilot Studio agents that integrate with enterprise systems and data using connectors, APIs, Azure AI Search, and Model Context Protocol (MCP)
• Build and orchestrate advanced workflows and multi‑agent solutions
• Automate complex scenarios, including human‑in‑the‑loop and computer‑use workflows
• Apply identity, security, governance, and responsible AI considerations during solution design and implementation
• Test, monitor, and manage agents as enterprise‑grade solutions