[Inflearn Award Bestseller] How to Become an AI Automation Expert Without Coding, The Complete n8n Guide

Do you still code manually these days? We are now in an era where even "vibe coding" feels like a chore! Become an AI automation expert with n8n, no coding required. A guide to designing automation workflows that can be applied immediately to real-world tasks. Practical automation strategies to maximize work efficiency. Build intuitive workflows with n8n and experience a revolution in the way you work.

(4.8) 280 reviews

3,294 learners

Level Beginner

Course period Unlimited

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Reviews from Early Learners

4.8

5.0

June Lee

30% enrolled

I am working under the title of a developer, but in truth, I am a middle-aged person who lacks confidence and dislikes new things. I started this lecture along with the challenge without much expectation, but it contains much more than I thought. As I follow each lesson, I am taking to heart the necessity of infrastructure and gaining insights into AI. Above all, I especially like how you provide a direction for dealing with APIs that are constantly changing. (Finding another way if one doesn't work—that truly is the most important quality of a developer, haha.) Thank you for giving me this great opportunity. I will now strive to become a developer who integrates AI well into my life. ^^

5.0

Ju Han Shon

83% enrolled

This is a course that beginners can easily approach. However, it still seems a bit difficult for absolute beginners, while it's quite suitable for junior developers. There are some challenges in resolving discrepancies caused by the time gap between when the lectures were recorded and when they are being taken. I am grateful for the instructor's passion, such as uploading follow-up revision lectures for parts like the YouTube summary. -----------Additional Review--------- While listening to the lectures, there are topics that aren't directly related to n8n but are relevant. The instructor's generous sharing of knowledge gained through hard work feels sincere and is genuinely helpful. As someone in the IT field trying to keep up with new trends, this course has provided a head start on a journey that wouldn't have been easy if I had to study and understand everything on my own. Today, I happened to watch a video related to RAG and GraphRAG, and I was amazed that I could actually understand the content. While the instructor's explanation of RAG was likely just enough for the n8n course, that foundation served as nourishment for me to quickly acquire deeper knowledge. Furthermore, the course content isn't just about transferring technical skills; it sparks various ideas based on what is taught and serves as a guide on how to build the ideas I've been thinking about. I initially thought this was just a simple course for beginners, but I would like to express my gratitude to the instructor once again.

5.0

김상한

30% enrolled

The lecture seems well-structured and easy to understand. This is my first time with n8n, and I'm taking the lecture without knowing even the basics of coding. Instead of just rushing through like a relay, they explain everything one by one in detail, making it easy for beginners to understand, and speak as simply as possible. I will finish the lecture and practice diligently to achieve what I want. Thank you for creating the lecture.

What you will gain after the course

  • AI Agent Creation

  • AI Automation Practice

  • N8N automation tool

  • AI Prompt Engineering

  • RAG (Retrieval-Augmented Generation) Architecture

  • Data Embedding Practice

  • How to use Vector DB

🎉This is a 2025 Inflearn Awards Best-Selling Course in the lecture category.

Thanks to the interest and support of many people, this course was selected as a Best Seller in the Lecture category at the 2025 Inflearn Awards. I sincerely thank you.


💡 The AI era is changing at a breathtaking pace.

New news pours in every single day, tools are updated several times a month, and yesterday's methods become outdated today. We are now in an era where the difference is made by who learns first and who tries it first. Start as soon as possible!!

How to Become an AI Automation Expert Without Coding: n8n Complete Guide Intro Video

This course does not provide "lectures for the sake of lectures."
I avoid lectures that explain things just for show or create examples that have no practical use.
Everything covered in this course actually works and can be immediately applied to real-world tasks or personal projects.
The goal is not theory for the sake of teaching, but to build, understand, and apply "automation that can be used right now" in reality.

This course is being continuously updated to keep pace with the rapidly changing AI era. Within one month of the course opening, 10 new and reinforced lectures were added, and these are being provided free of charge to existing students.

You can check the lecture update details through the "News" menu at the top.

🎯 Automation, once reserved for developers, is now something you can do too.


Emails, news, images, videos… everything is possible with no-code!

At one time, writing complex code, integrating APIs, and setting up servers were essential to creating automation systems. However, automation through Generative AI and Artificial Intelligence (AI) is no longer the exclusive domain of developers. In this course, we will use N8N—a no-code tool accessible to everyone—along with the latest generative AI models (OpenAI, Claude, etc.) to build real-world AI automation systems (AI Agents) ourselves.


This course is not just about chatting with ChatGPT and ending there.
From AI reading emails, scheduling, summarizing news, generating images, and creating videos, to answering questions based on PDFs or YouTube subtitles. This is a practical course designed to help you implement all of this yourself, without any coding.


📌 This course is not just a simple "tool introduction" lecture.

This course focuses on the following three things.

  1. Improving practical system design skills by combining AI and automation

  2. Hands-on practice focused on automation use cases applicable immediately in the field

  3. Gain the ability to comprehensively understand and implement the structure of AI Agents

🧠 What you will gain from this course

  • From n8n basics to advanced automation design methods

  • Hands-on practice for integrating Generative AI model APIs such as OpenAI and Claude như OpenAI, Claude, v.v.

  • External tool integration including Google Sheets, Notion, Airtable, etc.

  • How to build and utilize a vector search-based RAG system

  • Completion of Discord/Telegram-based AI Agent automation projects dựa trên Discord/Telegram

  • AI Agent projects that can be applied immediately to real-world tasks

  • Learning advanced prompt design methods for practical automation

  • How to utilize LLM as a "worker" rather than a "conversation partner"

  • Acquire strategies for structural instructions and role assignment, moving beyond simple Q&A.

📌 Key Features of This Course

✅ In the AI era, you can create high-quality automation systems even without coding!

  • You can implement an AI Agent system that is immediately applicable to real-world tasks using only N8N's no-code environment, without the need for complex coding.

Practice-Oriented Curriculum – Learn real automation by building it yourself!

  • 90% of the entire course consists of hands-on practice.

  • Instead of simple theoretical explanations, you will learn professional-level automation workflows by building examples together.

Integrated learning of AI models and various tools all at once

  • You will directly implement the entire process of an AI Agent collecting and processing information by utilizing various technologies such as OpenAI, Claude, Google API, and Naver Search API.

Perfect for absolute beginners!

  • It's okay even if you don't have any development knowledge.

  • Thanks to the visually organized interface, the design allows you to produce results simply by following along.

Recommended for these people

Those who are new to automation
Non-developers / beginners
who want to follow the automation flow
from scratch without coding

Those who want to transform their work with AI.
Professionals / Freelancers
who want to personally implement
email, scheduling, and summary automation.

Those who are curious about what comes after ChatGPT
AI beginners / planners who want to go beyond
conversational AI and build
their own systems

After completing the course, you will be able to

  • You will be able to design complex automation flows yourself using n8n.

  • You will be able to directly integrate and handle AI models such as OpenAI, Claude, and Gemini.

  • You will learn the mindset of designing automation flows by integrating with various external APIs and tools.

  • News summarization, email replies, and schedule automation, you can create systems that can be used immediately in actual work..

  • By learning Vector DB and RAG concepts, you will even be able to create an AI that answers questions about PDFs or YouTube subtitles.

  • You can grow into a ‘no-code architect’ who plans and implements AI systems without writing code.

  • You can build a career foundation as an AI Operator, Workflow Architect, or AI Automation Specialist, roles that are gaining significant attention in the AI era.

Here is what you will learn.

Conversational AI Agent that remembers and searches

By connecting OpenAI + Memory nodes + SerpAPI,
you will directly build an advanced chatbot capable of
remembering previous conversations and performing real-time web searches.
You will experience an AI system that goes beyond simple response-based models.

Automated summary chatbot that works with YouTube links

When a user enters a YouTube link into Telegram,
you will create a fully automated content summarization pipeline that extracts subtitles, summarizes them, and sends them as a message.
You will also practice external integration using ngrok, even without HTTPS.

Automating everything from image generation to video production

Generate LoRA images with a single Discord command, then create and upload AI videos based on those images. Automate the actual Shorts content production workflow by connecting Replicate, Kling, and Cloudinary.

Claude + MCP Integration Advanced Automation System

Connect Claude and n8n via MCP to create an AI Agent that integrally controls various services such as
sending DMs, managing address books, registering schedules, and writing in Notion.
This is a practical example of designing multi-tool automation that combines multiple tools.

Real Estate Gap Investment Analysis System Using Public Data APIs

This covers how to build a comprehensive automation system that automatically collects, analyzes, and documents apartment gap investment information using n8n, utilizing the Public Data Portal's real estate transaction API, Statistics Korea API, and V-World API.
By integrating various data such as actual transaction prices, population statistics, and location coordinates, AI agents automatically perform analysis and generate reports, which are output in Google Docs and HTML formats.
The practice includes the entire workflow from API integration, data parsing and filtering, visualization of historical transaction records, to document automation.

Implementing RAG by Vectorizing PDF Documents

This guide introduces how to use n8n to store PDF documents in a vector database and implement RAG. It demonstrates how to configure an LLM to find and respond with answers based on stored PDFs in response to user questions, using Qdrant and OpenAI embedding models for the hands-on practice.

Fully Building Your Own Voice AI Agent with FastAPI

We introduce how to directly implement a local-based speech recognition and speech synthesis system. Utilizing Docker, Python FastAPI, speech recognition models, and the MiniMax TTS API, we will practice the entire process of creating your own AI voice assistant.

All lectures provide lesson notes, AI prompts, and source templates.

Summarized class notes for each lecture, along with all AI prompts and source workflow templates used in the course, are provided.

Notes before taking the course

Practice Environment

  • Operating System and Version (OS): Windows (Hyper-V must be supported), macOS, Linux, Ubuntu, available on most OS, (The course is conducted in Windows 11 Pro + Docker + N8N + CPU mode.)

    • Windows Home Edition Users: Hyper-V is not supported in Home Edition, but if you can install WSL2 yourself, you will have no problem following the course. Please note that the course does not provide separate instructions on how to install WSL2 on Home Edition.

    • macOS: If you are able to install Docker directly on macOS, you should have no trouble following the course. Please note that the course does not provide instructions on how to install Docker on macOS or how to use macOS.

  • Tools used: Docker, N8N, redis, qdrant, pinecone, ollama


  • PC Specifications: Practice is possible even with a standard office PC with 8GB of RAM or more.

Learning Materials

  • All N8N workflows covered in the lecture are provided as JSON files, and they are practical examples even more advanced than paid templates worth hundreds of thousands of won on the market.


  • All AI prompts used in the lecture are provided embedded within the JSON workflows.


  • Workflow JSON files can be used immediately in n8n via "Import from File."

Prerequisites and Important Notes

  • Can be taken even without programming knowledge


  • Necessary settings (such as issuing API keys) will be guided step-by-step in the lecture, so even beginners can follow along without worry.


  • Most tools can be used with a free tier, though some AI APIs may incur small usage fees. In this course, we provide guidance based on minimum cost or free practice standards.


  • Questions will be answered periodically through the bulletin board, and course content will be continuously updated according to practical workflows


  • Since external tools used during the practice sessions may undergo policy changes without prior notice, alternative plans provided within the lecture will also be guided.

Additional Lectures

  • If you have any questions or ideas for topics you'd like to see covered, please send them to the Q&A board or my personal email, and I will create additional lectures based on that content.

Recommended for
these people

Who is this course right for?

  • People who are curious about what can be done with AI Agents

  • Office workers who want to automate repetitive tasks

  • Marketers who want to learn automation tools without coding

  • Solopreneurs / Freelancers who want to increase work efficiency

  • A planner who wants to automate by integrating various web services

  • People interested in side projects utilizing AI tools and automation

  • Those who want to connect ChatGPT, Notion, Google Sheets, etc.

  • Those who want to practice RAG-based AI automation

  • People who need an automation system that can be applied immediately to real-world tasks

  • Those who want to introduce AI automation to their side projects

  • Those who want to learn practical automation without coding

  • Those who want to try everything from AI prompting to automation design themselves.

Hello
This is nambaksa

Inflearn Verified

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Hello.

I am Dr. Nam, the author of Youngjin.com's "Coding for the First Time with Python."

I mainly develop C/C++, Python, and AI-powered automation systems (AI Agents).

To everyone watching my lectures, "Fighting" until the end!


💡Personal Blog: https://blog.naver.com/nkj2001

💡AI Blog: https://blogagent.kr

🎞Youtube: https://www.youtube.com/@blographer/featured

📖Purchase Book: Youngjin.com Coding for the First Time with Python

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Curriculum

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46 lectures ∙ (19hr 3min)

Course Materials:

Lecture resources
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Reviews

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280 reviews

4.8

280 reviews

  • kinghm105197님의 프로필 이미지
    kinghm105197

    Reviews 6

    Average Rating 5.0

    5

    30% enrolled

    Through meticulous planning, the steps are divided to make it easy for learners to learn from their perspective. The explanations are very detailed, so you can follow, but it's not a course where you just blindly follow; it explains the principles and mentions various situations you might encounter, showing consideration even after learning.

    • nambaksa
      Instructor

      Thank you for the positive feedback. Lately, I've also mostly been focused on building AI Agents, and as I keep doing this, I realized that the core is ultimately how AI Agents can be applied and utilized. To apply them in such diverse ways, one needs to understand the basic parts and be able to imagine various situations. Based on this idea, I tried to include such content in the lecture, and I'm even more grateful that you specifically pointed out those core aspects. All the best!

  • artdev님의 프로필 이미지
    artdev

    Reviews 11

    Average Rating 4.5

    5

    24% enrolled

    Developers gain maximum synergy if they listen.

    • nambaksa
      Instructor

      You hit the nail on the head. But in reality, if you look around, there are still incredibly many developers who aren't interested in AI. It's an unfortunate reality.

  • greatest821025님의 프로필 이미지
    greatest821025

    Reviews 2

    Average Rating 5.0

    5

    16% enrolled

    Thank you so much for providing such an excellent course at such an affordable price through Inflearn, and I'm grateful to Dr. Nam for teaching with such passion.

    • nambaksa
      Instructor

      I'm truly grateful for your kind words and rating. :)

  • windowz20141058님의 프로필 이미지
    windowz20141058

    Reviews 6

    Average Rating 5.0

    5

    100% enrolled

    I got hooked by YouTube and tried a 1.5 million won lecture, but this is 150 times better than that. By any chance, do you offer lectures on YouTube automation or blog automation?

    • nambaksa
      Instructor

      Recently, lectures and workflows like these are being sold at extremely high prices, and since many people have suffered losses from that, there are indeed many inquiries in this field. So, I personally use things like YouTube Shorts automation, blog automation, etc., and I'm thinking about how to develop this into a course. I'll probably create it as an expert lecture. However, there's a lot of additional content to add to this current course, so it keeps getting delayed.

  • nataek2159님의 프로필 이미지
    nataek2159

    Reviews 15

    Average Rating 3.3

    Edited

    4

    40% enrolled

    This lecture is not easy.. Although it says it's for beginners, it's not easy when you actually listen. If you're trying to learn about n8n's features in detail, I don't recommend it. If you want to take a look at some automation features from the beginning, you can watch it. However, there are no detailed explanations of nodes, so you should keep that in mind.

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