This course teaches partiipants to design, build, and manage production-ready AI agent solutions using Microsoft Copilot Studio. It emphasizes agents that integrate across systems and operate reliably at enterprise scale. Participants design agent architectures, configure advanced behaviors, integrate agents with external systems, and manage testing, deployment, monitoring, and application lifecycle management.Â
Prequisites:
- Hands-on experience building agents in Microsoft Copilot Studio
- An intermediate understanding of generative AI concepts
- Proficiency working with REST APIs
- Familiarity with the broader Microsoft cloud platformÂ
Purpose
| Design, build, and manage production-ready AI agent solutions using Microsoft Copilot Studio |
Audience
| Developers who want to design, extend, and integrate Copilot Studio agents with an interest to automate real business processes by connecting agents to enterprise data, systems, and services |
Role
| Software Developer | Application Developer |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 3 days |
Related technologies
| Azure | Power Platform |
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Learning objectives
- Create Copilot Studio agents that integrate with enterprise systems and data using connectors, APIs, Azure AI Search, and Model Context Protocol (MCP)
- Construct and orchestrate advanced workflows and multi-agent solutions
- mplement automation for complex scenarios, including human-in-the-loop and computer-use workflows
- Apply identity, security, governance, and responsible AI considerations throughout solution design and implementation
- Test, monitor, and manage agents as enterprise-grade solutions
