This course explores the design and governance aspects of multi-agent AI systems - autonomous agents that collaborate, compete, and coordinate to achieve complex goals. Learners will gain a deep understanding of how to design, build, and govern multi-agent ecosystems, from defining core agent capabilities to orchestrating interactions at scale. The course emphasizes real-world applications, exploring how leading companies like LinkedIn, Anthropic, and Amazon deploy agentic AI to solve enterprise problems. Learners will explore the principles of coordination, communication protocols, and governance models, along with ethical and regulatory considerations for safe deployment.
AI Agents: Multi-Agent Design & Governance
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您将学到什么
Define core concepts and capabilities of AI agents and multi-agent systems.
Design effective multi-agent AI systems for various tasks and implement communication protocols and workflows.
Apply governance models and regulatory frameworks to ensure safe and compliant AI agent operations.
您将获得的技能
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
This module introduces learners to the fundamental concepts of AI agents, their challenges, and the aspects behind developing multi-agent systems, providing a solid groundwork. Learners will explore how agents perceive, reason, and act within complex environments, as well as the key components that define their architecture.
涵盖的内容
4个视频2篇阅读材料1次同伴评审
In this module, we dive into the dynamics of multi-agent AI systems, exploring how multiple agents coordinate, communicate, and collaborate to achieve shared goals. Students learn about interaction models, communication protocols, and strategies for building scalable, cooperative agent networks. The focus is on understanding why collaboration is critical and how it enhances system intelligence, adaptability, and performance.
涵盖的内容
3个视频1篇阅读材料1次同伴评审
This module focuses on the architectural design of multi-agent systems, including planning, task decomposition, and workflow orchestration. It also examines governance, regulatory considerations, and security best practices necessary for deploying agents safely and ethically. By the end, learners will know how to design robust multi-agent ecosystems that align with real-world constraints and operate within responsible AI frameworks.
涵盖的内容
4个视频1篇阅读材料1个作业2次同伴评审
提供方
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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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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