This course is designed to elevate skilled developers into multi-agent system architects. You'll learn to design and implement collaborative AI systems. The course focuses on building scalable, production-ready systems, ensuring responsible AI, and applying enterprise security and integration patterns. You'll complete a project where specialized agents work together to solve a complex business problem.

Building multi-agent systems

Building multi-agent systems
This course is part of Microsoft AI Agents: From Foundations to Applications Professional Certificate

Instructor: Microsoft
Access provided by DBS Bank
Recommended experience
Skills you'll gain
- Microservices
- Enterprise Architecture
- AI Security
- Containerization
- Enterprise Security
- AI Orchestration
- Application Deployment
- Azure Active Directory
- Generative AI Agents
- Responsible AI
- System Monitoring
- Coordination
- Scalability
- Artificial Intelligence
- Role-Based Access Control (RBAC)
- AI Workflows
- Microsoft Azure
- Microsoft 365
- Kubernetes
- Agentic systems
Details to know

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24 assignments
December 2025
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There are 4 modules in this course
Learn to think beyond single agents by analyzing real-world multi-agent implementations and designing systems where specialized agents collaborate effectively. You'll create professional architecture documentation using industry-standard tools and implement communication protocols that ensure reliable coordination between agents.
What's included
6 videos4 readings6 assignments
Build sophisticated multi-agent systems using Microsoft's AutoGen framework to orchestrate conversations and task delegation between specialized agents. You'll implement group chat patterns for business scenarios, create intelligent task distribution systems, and add human oversight for critical decisions.
What's included
5 videos3 readings6 assignments
Ensure your multi-agent systems are enterprise-ready by applying Microsoft's Responsible AI principles and implementing security fundamentals. You'll build basic authentication with Azure Entra ID, create SharePoint integrations, and navigate the complex decisions required for enterprise AI deployments.
What's included
6 videos1 reading6 assignments
Take your multi-agent systems to production by implementing containerized deployments and comprehensive monitoring strategies. You'll create Docker containers, explore Kubernetes orchestration, design scaling strategies, and compile a complete portfolio demonstrating your mastery of AI agent development from single agents to distributed systems.
What's included
5 videos3 readings6 assignments
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