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
Unlock access to 10,000+ courses with Coursera Plus. Start 7-Day free trial.
您将获得的技能
- Kubernetes
- Artificial Intelligence
- LLM Application
- Containerization
- Scalability
- Application Deployment
- System Monitoring
- Microsoft 365
- Generative AI Agents
- Responsible AI
- Azure Active Directory
- Application Design
- Authentications
- Microsoft Azure
- Agentic systems
- Docker (Software)
- Enterprise Architecture
- Systems Architecture
- Enterprise Security
- Software Architecture
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
24 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
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。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Microsoft 获得可共享的职业证书
该课程共有4个模块
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
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
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
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.
涵盖的内容
3个视频3篇阅读材料6个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
从 Design and Product 浏览更多内容
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
更多问题
提供助学金，