Building multi-agent systems

本课程是 Microsoft AI Agents: From Foundations to Applications 专业证书的一部分

位教师： Microsoft

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4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将获得的技能

要了解的详细信息

可分享的证书

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作业

24 项作业

授课语言：英语（English）

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积累 Design and Product 领域的专业知识

本课程是 Microsoft AI Agents: From Foundations to Applications 专业证书专项课程的一部分

在注册此课程时，您还会同时注册此专业证书。

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该课程共有4个模块

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.

涵盖的内容

6个视频4篇阅读材料6个作业

6个视频总计26分钟

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

4篇阅读材料总计40分钟

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

6个作业总计210分钟

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

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.

涵盖的内容

5个视频3篇阅读材料6个作业

5个视频总计26分钟

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

3篇阅读材料总计30分钟

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

6个作业总计195分钟

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

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.

涵盖的内容

6个视频1篇阅读材料6个作业

6个视频总计32分钟

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

1篇阅读材料总计10分钟

Six principles deep dive 10分钟

6个作业总计150分钟

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

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.