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Build Multi‑Agent Systems with n8n Orchestrating Reliable AI Workflows

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Build Multi‑Agent Systems with n8n Orchestrating Reliable AI Workflows
Released 9/2026
With Tobias Zwingmann
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 37m | Size: 381.6 MB​

Learn how to build and deploy a real multi-agent workflow in n8n. Discover how to coordinate specialized agents, manage shared memory, and handle failures gracefully.
Course details
Multi-agent AI systems are becoming a critical capability as organizations move from experimenting with LLM workflows to running them in production. When a task is too complex for one agent, multiple specialized agents working together can get the job done.In this course, instructor Tobias Zwingmann teaches you how to build multi-agent systems in n8n. Starting from a real project on day one, learn to design an orchestrator agent that delegates to specialized sub-agents, wire up shared memory and tools, and implement sequential and parallel coordination patterns. Explore the essential theory along the way: why multi-agent architectures exist, when to use them, and how to avoid pitfalls like context loss and runaway loops. Then, add production-grade features such as human-in-the-loop approval and fallback handling. Through screencap demos, node-by-node builds, and text-based challenges, you'll build a complete deep research system on the n8n canvas.
Skills covered
n8n, AI Orchestration, Agentic AI Development, Multi-agent Systems
Homepage
Code: 
https://www.linkedin.com/learning/build-multi-agent-systems-with-n8n-orchestrating-reliable-ai-workflows

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