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URL: https://www.coursera.org/learn/microsoft-building-multiagent-systems

⇱ Building multi-agent systems | Coursera

Building multi-agent systems

Building multi-agent systems

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Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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

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.

What's included

5 videos3 readings6 assignments

5 videos•Total 24 minutes
  • Production deployment challenges•4 minutes
  • Building deployment pipeline•5 minutes
  • Observability for multi-agent systems•5 minutes
  • Building monitoring infrastructure•6 minutes
  • Career development planning•5 minutes
3 readings•Total 30 minutes
  • Container orchestration fundamentals•10 minutes
  • Scaling success stories•10 minutes
  • Future of multi-agent systems•10 minutes
6 assignments•Total 210 minutes
  • Activity: Container-based deployment pipeline•45 minutes
  • Deployment strategies for multi-agent systems knowledge check•15 minutes
  • Activity: Observability and portfolio compilation•60 minutes
  • Monitoring and performance management knowledge check•15 minutes
  • Activity: Scaling strategy and career planning•45 minutes
  • AI deployment and professional growth graded quiz•30 minutes

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