Design and Govern Advanced Multi-Agent AI Systems is an intermediate-level course for AI engineers, data scientists, and technical leaders who need to architect collaborative AI systems that work reliably at scale. As the agentic AI market explodes with 56.1% growth, organizations are moving beyond single-agent implementations toward sophisticated multi-agent orchestration.
Advanced Multi-Agent AI System
您将获得的技能
- Software Architecture
- System Monitoring
- Agentic Workflows
- AI Enablement
- Systems Architecture
- Model Deployment
- AI Orchestration
- Enterprise Application Management
- Event Monitoring
- Middleware
- Agentic systems
- Generative Model Architectures
- CrewAI
- LangGraph
- Artificial Intelligence and Machine Learning (AI/ML)
- Application Deployment
- Generative AI Agents
- Site Reliability Engineering
- Continuous Monitoring
- AI Security
- 技能部分已折叠。显示 10 项技能，共 20 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
In this foundational lesson, learners will explore the core architectural patterns that enable multiple AI agents to work together effectively. They'll examine different multi-agent system topologies, understand how agent specialization drives system performance, and analyze real-world implementations from leading organizations. Through hands-on activities, learners will practice designing agent roles and defining system boundaries for collaborative AI applications.
涵盖的内容
4个视频2篇阅读材料1个作业
This lesson focuses on the critical infrastructure that enables reliable multi-agent collaboration. Learners will explore advanced communication protocols, design governance mechanisms for autonomous systems, and implement safety constraints and monitoring systems. Through real-world examples from industry leaders, they'll learn to balance agent autonomy with system reliability and ethical alignment.
涵盖的内容
3个视频1篇阅读材料1个作业
In this final lesson, learners will apply their knowledge to build and deploy a functional multi-agent system prototype. They'll explore practical implementation frameworks, learn deployment strategies for production environments, and develop skills for monitoring and maintaining multi-agent systems at scale. The lesson culminates in a comprehensive capstone project where learners create their own multi-agent system addressing a real-world challenge.
涵盖的内容
4个视频1篇阅读材料3个作业
位教师
提供方
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¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。