[80:20 Rule] 3-Hour Complete n8n

The reason I created this course

These are the complaints I've heard from clients I met while building automation systems for them, as well as from fellow developers in my area. Everyone had tried looking for courses and experimenting with various tools on their own, but they still found it difficult to build automation without help from others.

Can you solve your own problems with no-code tools?

What are the tedious tasks or high-potential tasks that you want to automate?

• People who solve automation problems on their own, just for themselves

• People who use IT technology to create what they want to build with their own individual efforts

I provide services to help build automation systems together, and there have been clients I've assisted. Among them was someone responsible for our country's railway network, and there was also a business owner who operates tennis courts in various locations. These individuals, who are actively interested in automation and efficiency, were excellent leaders and entrepreneurs, regardless of the scale of the problems they were contemplating.

Instead of simply following what others have created or looking for easy paths, they wanted to boldly delegate tedious tasks that they really wanted to automate and work that seemed like it could be assigned to AI. That's how they set out to find automation tools.

These days, n8n is the go-to for AI automation!

However, many people who have attempted n8n, including my clients, often get frustrated at exactly this point. This is because they approached it from the perspective that since it's a 'no-code' tool, they don't need fundamentals and can just quickly learn application methods and use cases. Because there's no code involved, everything appeared easy on the surface. That's why I created this course.

• I thought I should teach the fundamentals needed for all applications.

• However, I didn't want to create boring basic lectures.

• While compressing the learnings into the projects that instructors have painstakingly designed with blood, sweat, and tears

  • Many concepts are naturally memorized as they repeatedly appear in the story within a short period of time

  • I wanted to create a course where students could actively imagine how it could be utilized.

If you don't want to be satisfied with simply 'following along' to create automation pipelines, but want to become someone who can directly build your own automation that perfectly fits your business and your work, yet you don't want to spend too much time learning tools, I believe this course will be a small beacon of hope.

You are the person who feels the greatest pain from the problem you want to solve, while also being someone who knows how to fully control and tune the solution process. Learn the tools quickly, and let's go focus on your problem.

Flawed Concepts

Let me introduce one of the concepts covered in the course and explain why fundamentals are necessary for no-code automation through a simple example. Let's take a look at the workflow in the screenshot below. Even for those seeing n8n for the first time, it should look quite simple.

From what I can see, it looks like an automation that retrieves three names and three email addresses to send emails. If you run this automation, how many emails will be sent in total? Since there are three names and three email addresses, will it only send three times? How many times will that rectangular box labeled 'Send Email' be executed?

Then what would change if we modified the above automation like this?

Hmm... Instead of doing it like the captures above, wouldn't it be possible to make it like the capture below?

If it's difficult to answer such questions right away... that's 'normal'.

In fact, these are among the very points where even I, as a developer, underestimated n8n and ended up wasting countless hours 'digging around' after jumping in carelessly. After overcoming such minor obstacles 40 times, I had this thought.

The key to AI automation isn't AI itself

When it comes to "n8n," the keyword that inevitably follows is AI automation. You might have wanted to use this no-code tool called n8n as your outpost to keep up with the trends of our times, positioning yourself at the center of AX (Automation Experience). Most content focuses on how to use AI in n8n in spectacular ways.

However, what's important is the ability to create a solid pipeline that brings in accurate data for AI to perform its role, and ensures the seamless execution of subsequent tasks using the results that AI produces.

n8n is powerful because it allows you to create quite sophisticated data processing pipelines without code, and you can integrate AI into them. To delegate your work to n8n, you need to understand how n8n operates and its precautions.

Even no-code clearly needs a foundation.

You can certainly become proficient with n8n through sufficient trial and error on your own, even without a course like this. However, no one will compensate you for that inefficient learning time and struggles. This course compresses the precious time I wasted not understanding how n8n works into just 3-4 hours or so*.

In this short time, we'll carefully go through the basic operating principles of n8n that first-time users are most likely to miss. As we progress, we'll gradually incorporate AI bit by bit. We'll internalize these concepts by working together on simple yet practical and powerful AI utilization projects.

Stop wandering the internet looking for automation cases that perfectly match your company's problems. I created this course hoping to quickly help you develop the ability to define your own problems, build your own automation solutions directly, and continuously improve and utilize them.

This is not suitable for people like this

• Someone who prefers lectures that only cover theory

  • If we only cover theory just because it's basic, it can easily become boring.

  • I alternated between theory and practice, and broke down the path to the final result into multiple intermediate milestones to create a compelling story.

• Someone who prefers follow-along style lectures

• Those who want to learn how to implement complex AI agents

  
  

Course Introduction

The instructor said that the more the teacher thinks, the faster the students learn. SOLVIT, who was the first in Korea to present n8n automation workflow construction content, spent over 150 hours thinking for a 3-hour lecture.

Core concepts learned in the course

I can confidently say that the content introduced in this course is truly important for developing the ability to tune automation systems yourself. However, if you only learn the theory it won't resonate and will be extremely boring.

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Here are some of the topics we will be learning about.

Q&A