AI Automation Engineer — Zero to Industry-Ready with n8n

About this course

Most n8n courses teach you to build workflows.

This one teaches you to build systems that work when you are not watching.

The AI automation market is exploding in 2026. Engineers who understand Agents, RAG, and MCP are landing high-paying clients and charging rates that traditional developers cannot compete with. This course puts you in that category — with 11 real projects, production-grade patterns, and zero fluff.

In 9 sections and 70 plus lectures, you go from complete beginner to deploying AI systems that real businesses run on.

WHAT YOU WILL BUILD

Every section ends with a shipped project. No toy examples. No fake demos.

You will build a Smart Email Router that reads, classifies, and routes emails across four branches using conditional logic. You will build an AI Research Agent powered by OpenAI with live web search, web scraping, and cross-session memory. You will build a RAG Knowledge Base powered by Supabase and pgvector that answers questions from your own documents with zero hallucinations. You will build a Multimodal RAG pipeline using Gemini Vision that processes both text and image-heavy PDFs. You will connect Claude Desktop to n8n via MCP and turn it into an AI operator that controls real workflows on command. You will build a Daily News Digest that aggregates AI, world, and finance news from three parallel sources every morning. Your capstone is a fully production-hardened 4-agent Customer Support System — Orchestrator, Classifier, Reply Builder, and Human-in-the-Loop Approval Agent — ready for real client delivery.

WHAT THIS COURSE COVERS

The course covers n8n core mastery including nodes, triggers, logic, error handling, and data transformation. You will master the AI Agent Node completely — tools, memory, decision-making, and debugging unpredictable agent behaviour. Section 6 covers Memory Systems and RAG in depth including embeddings, vector databases, chunking strate

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