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

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

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Additional Lecture Notice

Hello, this is Dr. Nam.

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.

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