Building multi-agent systems

This course is part of Microsoft AI Agents: From Foundations to Applications Professional Certificate

Instructor: Microsoft

Access provided by Shoolini University

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

24 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your Design and Product expertise

This course is part of the Microsoft AI Agents: From Foundations to Applications Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There are 4 modules in this course

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.

By the end of this course, you will be able to: - Design and document sophisticated multi-agent architectures for enterprise applications. - Build and orchestrate multi-agent systems using the AutoGen framework. - Implement enterprise-grade security with Azure Entra ID and integrate with SharePoint. - Deploy and monitor multi-agent systems using Docker and understand Kubernetes requirements. - Apply Microsoft's responsible AI principles.

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

6 videos Total 26 minutes

Course introduction 4 minutes
The multi-agent revolution 5 minutes
Analyzing real systems 5 minutes
The art of agent specialization 4 minutes
Professional architecture design 5 minutes
Building communication systems 4 minutes

4 readings Total 40 minutes

Course syllabus 10 minutes
Multi-agent theory and patterns 10 minutes
Communication fundamentals 10 minutes
Protocol design patterns 10 minutes

6 assignments Total 210 minutes

Activity: Multi-agent system analysis 45 minutes
Multi-agent system concepts and applications knowledge check 15 minutes
Activity: Agent role definition and architecture design 60 minutes
Agent specialization and system architecture knowledge check 15 minutes
Activity: Agent communication framework 45 minutes
Multi-agent systems design graded quiz 30 minutes

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

5 videos Total 26 minutes

AutoGen: Simplifying multi-agent development 4 minutes
Building with AutoGen 6 minutes
Advanced AutoGen patterns 6 minutes
Intelligent task distribution 4 minutes
Building planning systems 6 minutes

3 readings Total 30 minutes

AutoGen architecture deep dive 10 minutes
Group dynamics in AI 10 minutes
Planning system architecture 10 minutes

6 assignments Total 195 minutes

Activity: AutoGen foundation and setup 45 minutes
Introduction to AutoGen framework knowledge check 15 minutes
Activity: Collaborative business agents 45 minutes
Agent group chat patterns knowledge check 15 minutes
Activity: Intelligent task distribution system 45 minutes
AutoGen framework comprehension graded quiz 30 minutes

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

6 videos Total 32 minutes

Responsible AI in multi-agent context 6 minutes
Applying responsible AI 6 minutes
AI agent security landscape 5 minutes
Security implementation basics 6 minutes
Enterprise integration essentials 4 minutes
SharePoint integration deep dive 5 minutes

1 reading Total 10 minutes

Six principles deep dive 10 minutes

6 assignments Total 150 minutes

Activity: Responsible AI assessment workshop 30 minutes
Understanding responsible AI principles knowledge check 15 minutes
Activity: Agent security quick start 30 minutes
Security fundamentals for AI agents knowledge check 15 minutes
Activity: Your first enterprise integration 30 minutes
Enterprise AI security and compliance graded quiz 30 minutes

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.