Mastering n8n: AI Agents, Workflow Automation, RAG, and MCP Practical Guide

This is a complete practical n8n course for those who want to build powerful AI automation systems themselves without coding. In this course, you will start with n8n's basic data flow and JSON structure, learning step-by-step how to design workflows using various nodes. Afterward, you will master all the features necessary for real-world tasks, including building AI agents using Basic LLM Chains and AI Agents, Tool Calling, memory management, streaming responses, and automation using Webhooks and Schedulers. Additionally, you will personally create automation projects that can be immediately applied to your work—such as survey automation, email notifications, receipt processing, and news sharing—by integrating with various services like Google Workspace, Slack, Discord, Telegram, and Notion. In the latter half, you will engage in in-depth learning of the latest AI workflow construction methods, ranging from core RAG (Retrieval-Augmented Generation) concepts to Chunking, Pinecone Vector Store, Google Cloud Document AI, Hybrid Search, Graph RAG (LightRAG), and integration with MCP Servers and Claude Desktop. This course is not just about explaining features; it is structured so you can understand "why it is designed this way" and "how it is used in practice" by implementing actual projects together. We explain everything step-by-step from the beginning so that even those without programming experience can follow along, helping you complete an AI automation system that can be used immediately in the field. By the end of the course, you will possess the practical skills to independently design and implement task automation using n8n, AI agent construction, RAG system development, integration with various external services, and the latest MCP-based AI workflows.