The best n8n and AI-agent creators on YouTube — curated from beginner to expert. Each video is picked because it teaches something the course touches on, shown from a different angle or at a deeper level.
▶ Covers. First-day n8n setup in 2026 — account, first workflow, core concepts. Nate walks through the interface cold, exactly as a new student would see it.
Why watch. Published April 2026 — the most up-to-date 'day one' video available. If you've never opened n8n before, start here.
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▶ Covers. Compact walkthrough of the n8n agent pattern: trigger, agent node, model, tools. Cole focuses on the mental model — what each node is actually doing — not just click-by-click.
Why watch. If you already grasp basic automation but want to understand *why* the agent architecture works this way before building. Pairs well with the course's UNDERSTAND phase.
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▶ Covers. A tour of the 17 nodes that appear in almost every real workflow: HTTP Request, Code, IF, Loop, Set, Merge, Wait, Schedule, and more — each shown with a working example.
Why watch. The vocabulary lesson. After this you can read any n8n workflow and know what every node does. Watch before tackling Sessions 05–10 of the course.
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▶ Covers. End-to-end: account setup, credential management, building agent workflows, error handling, and deploying automations that run on a schedule. Strong on the plumbing that beginners skip.
Why watch. Nick's guide is the one to watch when 'it works in test but breaks in prod'. Heavy on error handling, retries, and the un-glamorous parts of automation engineering.
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▶ Covers. Multi-agent workflows, memory patterns (window vs. vector), tool chaining, and how to architect agents that can handle long, multi-step research tasks without losing context.
Why watch. Step up from single-agent demos to real systems. Cole shows how agents hand off work to each other — the same pattern the Session 09 evaluation loop uses.
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▶ Covers. The most comprehensive free n8n resource available. Covers every major node type, common integration patterns (Slack, Gmail, Notion, Airtable), webhook architecture, and agent design.
Why watch. The reference course. Don't watch end-to-end — use it as a lookup when you hit a specific node or pattern you haven't seen before. Bookmark and return.
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▶ Covers. Model Context Protocol (MCP) as a universal tool layer for n8n agents. How to connect local MCP servers (filesystem, databases, APIs) so your agent can reach anything, not just built-in nodes.
Why watch. MCP is the fastest-moving part of the agent stack right now. If you want your n8n agent to interact with tools that don't have an n8n node yet — databases, local files, custom APIs — this is the pattern.
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▶ Covers. Honest comparison: n8n wins on rapid prototyping, visual debugging, and non-developer handoff. Python wins on complex logic, custom models, and production-grade agent frameworks.
Why watch. The architecture question you'll face in your own projects. Cole gives a decision framework, not hype — useful for anyone planning to move beyond the course into real research automation.
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▶ Covers. Agent architecture patterns: ReAct loops, planning agents, multi-agent coordination, memory types, evaluation. Covers both n8n and code-based implementations.
Why watch. The capstone video. Watch this after finishing the course to connect what you built to the broader field of agent engineering — and understand where n8n fits vs. frameworks like LangGraph or AutoGen.
Watch on YouTube ↗