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

Hello, this is Nambaksa.

The following lecture has been newly added to the additional course section.

• Extending Python with n8n 2.x Custom Runner Images

Although the current course is being conducted using version 1.x, the Python Code node features in n8n version 2.x have become so powerful that I thought it would be beneficial to get familiar with the 2.x environment while still using version 1.x.

• How to install n8n version 2.x

• How to use n8n version 1.x and 2.x at the same time

   

• How Python code has become more powerful in n8n version 2.x

This is a lecture that briefly covers the topics mentioned above. Of course, the existing lectures conducted with version 1.x will remain as they are.

Thank you.

📢 New Course Launch Announcement

Hello, I'm Dr. Nam from Inflearn.
I've been working with many people through Python, automation, and AI Agent courses, and this time I've prepared a new course that's expanded to the next level.

🚀 Revenue-generating AI Agent Expert Course, n8n Blog·YouTube Automation

This course is not simply about learning how to use n8n. It covers the complete A to Z process of building an actual revenue-generating automation system, from VPS server setup → n8n installation and workflow design → WordPress automation → blog search registration and AdSense → YouTube Shorts creation and upload.

While many courses so far have remained at the level of "writing one article with AI," this course is a hands-on, practice-centered course where you directly build and run an actually operational system.

🎯 What You'll Learn in This Course

• Contabo VPS Registration & Setup, Docker/Portainer Installation

• Domain Connection & HTTPS Security Environment Setup

• n8n Installation & Operation Setup (AI Starter Kit, Permission Issues Resolution, RaiDrive SFTP, etc.)

• Blog AI Agent Development through Airtable Integration

• WordPress installation, theme application, automatic posting connection

• Search registration, AdSense setup → Establishing monetization foundation

• YouTube Shorts Automation Pipeline (Script → Voice → Subtitles → Video → Upload)

• Expert-Level Prompt Engineering & Cost Optimization Strategies

💡 Why is it special?

✔ From installation → operation → monetization, a complete curriculum
✔ Not fictional theory, but practical content you can use immediately in real operations
✔ Realistic operational know-how not covered in existing expensive courses and tools

🎁Early Bird Benefits and New Pricing Policy

To celebrate the course launch, we're offering a 70% early bird discount for 1 month. The early bird discount is a one-time event that Inflearn's system provides only for the initial launch of a course.
(After the early bird period ends, a policy will be applied where the price increases by 2.8% for every 100 enrollments.)

👉 Check it out right now
Revenue-generating AI Agent Expert Course, n8n Blog·YouTube Automation

Thank you.
– From Dr. Nam

Hello, this is Dr. Nam.

Section 10. Two new lectures have been added to the Additional Lectures section.

• 44. Creating Podcasts Like Notebook LM: AI-Automated Workflows Completed with n8n

• 45. Automatically extract payment details from credit card statement emails and record them in a Google Sheet.

The first lecture will explore how to replicate the AI-based audiobook generation feature of Google's popular Notebook LM into a fully automated podcast production system on n8n . The entire process is automated : data collection using Perplexity AI, transcript generation using the Gemini model, audio conversion using the TTS API, and upload to Google Drive .

-- Please note that when creating additional lectures, a node that did not exist has been updated to the current Perplexity-specific node in n8n . It doesn't matter whether you use Node or call the HTTP API directly. Additionally, while the current lecture uses the Google API to generate audio, Eleven Labs is currently beta-testing a v3 model with this speaker-to-speaker conversation feature. I think the utility will increase even more when these services are provided. Also, please note that there may be a phenomenon(?) where people study harder when they substitute their friends' names for the speaker names in the speaker-to-speaker conversation, so please enjoy this fun experience. --

The second lecture implements a workflow using n8n that extracts payment information from credit card statement emails and automatically records it in a Google Sheet . You'll practice the entire workflow—IMAP email reception, AI information extraction, duplicate checks, and Google Sheets registration—learning techniques applicable to not only personal accounting automation but also a variety of email-based tasks.

I've been busy lately developing the n8n follow-up course, "Profitable AI Agent Expert Course, n8n Blog and Shorts Automation," so I've been busy creating additional courses and haven't updated them yet. In any case, the podcast creation feature, like the notebook LM feature, is incredibly useful, so I highly recommend taking this course, referencing it, and achieving positive results.

The hot weather continues. Please take extra care of your health. Thank you.

Hello, this is Dr. Nam.

Section 10. The following two lectures have been added to the Additional Lectures section.

• Completely replace Redis Docker with the latest version – Upgrade while preserving existing data

• AI Chatbot Login System Made with n8n – Chat-based Member Authentication Automation

The first lecture covers how to update the old version of Redis used in implementing Discord triggers with Redis and automating automatic image creation and upload . This lecture was added because some people had problems with the old version operating in certain environments. If there is no problem with running Redis now, you do not necessarily need to update, but it would not be a bad idea to take a look at how to update in the future .

The second lecture started with a question from a student on the Q&A board : How can I make a chatbot-type AI agent only available to certain people? The content and idea seemed good, but since there were limits to answering it in writing alone, I thought that if other people knew about this method, they might be able to apply it somewhere in the future, so I decided to make it into an additional lecture.

If you have any questions, please always use the Q&A board. Thank you.

Hello, this is Dr. Nam.

Section 5. Added a practical tutorial on automating without a Telegram trigger in the voice assistant AI Agent - Direct Telegram API call .

Learn how to implement a trigger system directly using the official Telegram API without N8N's Telegram trigger node . Build a practical automation flow by detecting messages using Telegram's getUpdates API, managing update IDs to prevent duplicate execution , and connecting to the YouTube summary function . It also covers how to write and load files directly inside the Docker using the Execute Command node provided by n8n.

By implementing triggers using APIs directly like this, you can develop the ability to flexibly respond to APIs from various external services, not just Telegram. I hope you can develop your practical API utilization skills beyond simple node connection.

If you have any questions about the lecture, please use the Q&A board at any time. Thank you.

Hello, this is Dr. Nam.

We've added a new section to our n8n Complete Guide course: How to Become an AI Automation Expert Without Coding .

The original plan was to provide this lecture as just one additional lecture, but as the lecture volume increased and we tried to make it more useful, there were now three lectures, and rather than providing the three as separate additional lectures, we thought it would be better to provide them as one section, so that's what we ended up doing.

The section name was set to Implementing an Agent Using Public API, and 3 additional lectures totaling 1 hour and 42 minutes were added, and the following structure was created.

• 30. Creating an automated real estate gap investment analysis system using public data API

• 31. Automated Apartment Investment Report with Address Only: Complete with Demographics + Location Information

• 32. Create an AI report that automatically analyzes actual transaction data and displays it in a chart

In the first lecture, we will learn about how to use the apartment sales information API and apartment monthly rent transaction information API among the public data APIs provided by https://www.data.go.kr in N8N, and the overall process of applying them to obtain gap investment data.

In the second lecture, we will cover how to collect the population of the neighborhood where the apartments obtained in the first lecture are located and the GPS data of the apartment addresses using the Statistics Korea API and the Ministry of Land, Infrastructure and Transport V WORLD API, and add the data to the final apartment investment analysis report.

In the third lecture, we will implement an automated function that visualizes past transaction history as an AI report based on the apartment gap investment information used in the first lecture. After repeatedly calling the monthly actual transaction API to extract the necessary data, we will complete the price change analysis graph of past sale/monthly rent data and output an HTML report based on that information .

Apartment Gap Investment Information Report Sample Link

The lecture includes some coding to organize the collected data, but since Python itself is an intuitive language, I think it will not be too difficult to study with AI such as ChatGPT. I think that if you understand this lecture, you will be able to implement expansion with more diverse methods and functions. I hope that many of you who watch the lecture will be able to handle AI Agents skillfully, and that Korea, although its AI infrastructure is still lacking, will become an AI powerhouse in terms of ideas and utilization.

Hello, this is Dr. Nam.

• Fully automate Gmail and Naver mail with one workflow – from spam classification to deletion

• Build your own AI voice assistant: Fully built with FastAPI and Docker

The above two lectures have been added to the Additional Lectures section.

First, the "Full Mail Automation Implemented in a Single Workflow" lecture focused on telling you how to set up Gmail and Naver mail in the existing AI-based Naver spam mail classification: Fully automated email agent hands- on lecture. However, there was some confusion about this part and many people said that two emails were not triggered at the same time. Therefore, rather than answering each question one by one, I thought it would be better to explain in detail how to actually use two or more emails at the same time while creating a usable sample, so I created an additional lecture.

Another "My Own AI Voice Assistant Lecture" is the N8N with MCP section on creating my own AI assistant that gives audio commands. In the MCP + Voice AI lecture, I give a sample example of how to create a voice assistant Agent using Eleven Labs' AI Agent. In fact, if you use Eleven Labs' AI Agent, firstly, it is expensive, and secondly, if the AI request processing takes a long time, I cannot handle the Timeout status myself. In this lecture, I explain how to create a voice recognition AI Agent in the style and design I want using Python's FastAPI . The voice service used the Minimax model, which is incredibly cheap compared to Eleven Labs.

If you have any questions about the lecture, please use the Q&A bulletin board at any time.

Hello, this is Dr. Nam.

Due to a change in YouTube's internal logic,

13. Create a YouTube video summary bot: No-code automation from subtitle extraction to AI summarization

14. Automating Telegram Bot without HTTPS: Opening Webhook with ngrok & Implementing Automation Script

15. Creating a YouTube Summary Chatbot: AI Automation with Telegram Interaction and n8n

There are some parts of the lecture above that do not proceed smoothly. Of course, this will be resolved when the youtube-transcript node installed in the community used in the lecture above is updated, but since I do not know when the update will occur and cannot just wait, I have additionally written a lecture on how to obtain YouTube subtitles without using the community node and added it to the beginning of the lecture above.

12. <Additional> From free API analysis for youtube-transcript errors to building your own server!

The above lecture shows how to use the free kome.ai API, and how to write the API in Python code on your computer in case there is an issue with the API. Those who have already watched the lecture can refer to it and modify their existing workflow. Those who have not yet progressed to that point in the lecture can watch it in parallel with the existing lecture to see how to deal with it.

Also, additional lessons on how to process multiple emails simultaneously in an email workflow.

"Create your own AI assistant that gives audio commands. MCP + Voice AI"

We will update soon with information on how to build your own voice AI Agent using the much cheaper MiniMax API and Python FastAPI instead of the voice AI Agent provided by ElevenLabs, and on the Apartment Gap Investment AI Agent via the public API, so please refer to it.

If you have any questions, please leave them on the Q&A board and we will respond as quickly as possible. Thank you.