Jul 31, 2026
10 min read
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Last updated: July 2026
This is a curated learning path of 10 n8n tutorials for founders who want to automate real work with AI, starting from what automation actually is and ending at selling automations to clients. Every pick is a hands-on walkthrough rather than a feature tour, and the order builds one skill on top of the last.
Together the set runs about 14 hours, spanning free self-hosting, the core nodes worth memorizing, full zero-to-hero courses, and applied builds like content pipelines and AI agents. These are among the most watched and most referenced n8n tutorials of 2024 to 2026, from n8n's own team, NetworkChuck, freeCodeCamp, and creators who build automations for a living.
The videos on this list, in the order to watch them, are:
How Do You Run n8n for Free? (NetworkChuck)
How Do You Self-Host n8n Cheaply? (Charlie Chang)
Which n8n Nodes Actually Matter? (Michele Torti)
How Do You Build AI Agents in n8n? (Nate Herk | AI Automation)
What Can n8n AI Agents Actually Do? (AI Foundations)
Can n8n Publish YouTube Videos for You? (Jay E | RoboNuggets)
How Do You Sell n8n Automations? (Nick Saraev)
Total: 10 videos, 832 minutes of watch time (about 14 hours), and 9M combined views.


n8n · 12 min · 821K views · 2024
In short: Automation is a predictable set of predetermined actions that transfers data from a trigger, through filtering, to actions like updating sheets.
Before touching a single node, this official n8n intro grounds you in what automation is and why it matters. It answers the question every founder should ask first: which processes are worth automating, and how do you map them out before you build?
Key takeaways
Automation reduces human error and subjective interpretation, making data-driven decisions faster and freeing resources otherwise spent on repetitive manual tasks.
Every automation starts with a trigger, such as a form submission or a scheduled event, that sets the whole sequence in motion.
Filtering routes certain data down specific paths based on conditions, letting one workflow handle several outcomes precisely rather than one.
Mapping a workflow as a flowchart before building confirms feasibility and clarifies which tools and steps the process actually requires.
Watch on YouTube · Read the summary and Q&A

NetworkChuck · 26 min · 2.6M views · 2025
In short: n8n is a free, open-source automation tool you install with Docker and run locally or on a cloud VPS.
NetworkChuck turns the abstract into a working setup, walking from install through a real RSS-to-Discord workflow. It answers how to get n8n running privately on your own hardware and how data moves item by item through nodes.
Key takeaways
n8n is open-source, private, and free, positioned as a more powerful alternative to Zapier and IFTTT for one-interface automation.
n8n is lightweight enough to run on modest hardware including a Raspberry Pi, with Docker as the recommended install method throughout.
Every workflow begins with a trigger, and about 99 percent of the time you start with a manual trigger.
n8n processes data item by item, so an RSS feed of 13 articles fires 13 separate downstream Discord actions.
Watch on YouTube · Read the summary and Q&A

n8n · 14 min · 996K views · 2025
In short: You set up a trigger, map data between steps, and connect an app like Slack to automate form-submission notifications.
This is n8n's own quick-start, the cleanest path to a first working automation. It answers how triggers, item mapping, and app connections fit together, and shows the testing habits that make later builds reliable.
Key takeaways
n8n workflows consist of triggers and actions, with data flowing between steps as items that can be mapped and transformed.
Conditional routing lets a workflow branch based on business logic, sending different items down different paths as needed.
Pinning data lets you test a workflow repeatedly without generating fresh test data on every single run.
Activating a workflow lets it run automatically on its trigger and log every execution so you can review results later.
Watch on YouTube · Read the summary and Q&A

Charlie Chang · 19 min · 689K views · 2025
In short: Self-host n8n on a VPS instead of its cloud plan to avoid subscription fees while unlocking paid community features free.
Charlie Chang focuses on the money question every founder has: how to run n8n without recurring costs. It answers how self-hosting on a VPS unlocks otherwise-paid features and how templates cut setup time.
Key takeaways
Self-hosting n8n on a VPS significantly reduces cost compared with n8n's cloud hosting while keeping full control of your data.
The community version unlocks features that are otherwise paid when you self-host rather than use the managed cloud offering.
Pre-built templates speed setup by providing ready-made automations for common tasks like managing emails and databases.
Getting started involves creating workflows, adding credentials, and connecting APIs through the triggers and actions each integration exposes.
Watch on YouTube · Read the summary and Q&A

Michele Torti · 22 min · 265K views · 2025
In short: Learning 17 core nodes covering triggers, storage, data processing, connectivity, and AI covers roughly 80 percent of real workflows.
Instead of endless tutorials, Michele Torti isolates the nodes that do most of the work. It answers which building blocks are worth memorizing so you can compose most automations from a small, reusable set.
Key takeaways
Triggers start workflows and come in manual, scheduled, or event-based forms depending on what should set the flow off.
Data processing relies on nodes like Edit Fields, Split Out, If, and Switch to manipulate and route items.
HTTP request and webhook nodes provide connectivity, letting n8n integrate with external apps beyond the built-in integrations.
The Merge node combines data from parallel branches into one stream, while the Code node handles custom transformations when needed.
Watch on YouTube · Read the summary and Q&A

freeCodeCamp.org · 215 min · 799K views · 2025
In short: This course moves from nodes and architecture to RAG agents and multi-agent systems, building real automation systems end to end.
freeCodeCamp's course is the deep, structured option once you know the basics. It answers how foundational concepts connect to advanced AI integration, with hands-on labs that take you to real business automation.
Key takeaways
The course covers foundational concepts including nodes, architecture, and data types before moving into advanced AI integration.
Advanced sections teach Retrieval-Augmented Generation agents and multi-agent systems, giving you patterns for more capable automation projects.
Skills covered include connecting services, configuring API keys, and managing complex data flows across a single workflow.
Hands-on labs reinforce each concept, and the material suits DevOps engineers, AI enthusiasts, and non-technical learners alike.
Watch on YouTube · Read the summary and Q&A

Nate Herk | AI Automation · 91 min · 520K views · 2024
In short: n8n is a low-code tool with over 300 integrations that lets you build AI agents using APIs, RAG, and webhooks.
Nate Herk's masterclass is the bridge from workflows to agents. It answers how RAG, vector databases, and custom tools combine inside n8n, and what practices keep agent workflows stable as they grow.
Key takeaways
n8n supports over 300 built-in integrations, making it versatile for automating tasks across many different applications and services.
RAG combines retrieval with generation for accuracy, and vector databases store data as vectors for efficient semantic search.
Custom tools in n8n can be reused and scaled, helping you assemble more complex workflows from shared building pieces.
Error workflows help manage and resolve automation failures, while best practices focus on scalability and resilience over time.
Watch on YouTube · Read the summary and Q&A

AI Foundations · 40 min · 270K views · 2025
In short: n8n AI agents can automate data analysis, content creation, research papers with citations, and meeting management across many domains.
This video is the inspiration layer, showing eight concrete agent use cases. It answers what agents realistically automate today, giving founders a menu of patterns to adapt to their own operations.
Key takeaways
AI agents can automate complex tasks such as data analysis and content creation, saving time and increasing overall efficiency.
An LLM routing agent selects the most suitable model for a given task, improving accuracy while reducing cost.
A deep research agent generates comprehensive research papers with citations, turning a broad question into structured insights quickly.
Data analyst agents visualize trends and surface insights, while meeting manager agents create events and manage communications automatically.
Watch on YouTube · Read the summary and Q&A

Jay E | RoboNuggets · 35 min · 857K views · 2025
In short: Two agents, a ChatGPT ideas agent and an n8n creator agent, generate and publish longform YouTube videos on schedule.
This is a full applied build that ties earlier lessons together. It answers how a two-agent system turns a Google Sheet of ideas into published videos, and how one workflow adapts across content niches.
Key takeaways
The system uses two agents: a ChatGPT ideas agent for concepts and an n8n creator agent that produces and publishes videos.
The n8n workflow splits into input, generation, and output sections that build prompts, create media, and publish to YouTube.
A Google Sheets get-row node filtered on production status pulls one idea at a time, then marks finished rows done.
The same workflow adapts to niches like sleep stories, horror, trivia, and meditation simply by changing the topic input.
Watch on YouTube · Read the summary and Q&A

Nick Saraev · 358 min · 1.2M views · 2025
In short: This course covers setup, procedural workflows, and real AI agents so you can build automations to sell to clients.
Nick Saraev closes the journey by turning skills into revenue. It answers how to move from personal automations to client-ready systems, covering deployment options and the integrations business work usually depends on.
Key takeaways
n8n is a no-code platform for building automations and AI agents that can drive revenue and improve business efficiency.
The platform supports both cloud-hosted and self-hosted options, giving flexibility in how you deploy work for clients.
n8n integrates with tools like Google Sheets and ClickUp, and its interface builds workflows from triggers, actions, and nodes.
AI can be integrated into workflows using OpenAI's API, and the course walks through practical real-world automation examples.
Watch on YouTube · Read the summary and Q&A
Is n8n free to use?
n8n is open-source and free to self-host on your own hardware or a VPS, where you also unlock features that are paid on its managed cloud plan.
Do you need to code to use n8n?
No, n8n is a no-code and low-code platform that builds workflows visually from triggers, actions, and nodes, though understanding JSON and APIs helps with advanced automations.
What is an n8n workflow?
A workflow is n8n's name for an automation, built from nodes that start with a trigger and pass data as items through downstream actions.
How is n8n different from Zapier?
n8n is open-source, self-hostable, and more AI-focused and flexible than Zapier, letting you run automations privately without per-task subscription fees.
Can n8n build AI agents?
Yes, n8n builds AI agents using LLM APIs, RAG with vector databases, and webhooks, and it supports both single-agent and multi-agent systems.
Work through these in order if you are new: the first four take you from what automation is to a running self-hosted instance in under two hours. If you are short on time, start with the 17-nodes video to learn what actually matters, then jump to the AI agents masterclass and one applied build that matches your goal. Save the multi-hour freeCodeCamp and Nick Saraev courses for when you are ready to go deep and start charging for what you make.
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