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Ai Automation Engineer - Zero To Industry-Ready With N8n - charlie - 05-14-2026
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![[Image: 47be6e68ff6433418e9bd49b1329ea0e.jpg]](https://i127.fastpic.org/big/2026/0514/0e/47be6e68ff6433418e9bd49b1329ea0e.jpg)
Ai Automation Engineer - Zero To Industry-Ready With N8n
Published 5/2026
Created by Nikhil Agarwal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 101 Lectures ( 19h 32m ) | Size: 23.7 GB[/center]
Build AI Agents, RAG Pipelines & MCP Systems in n8n - 11 Real Projects, Production Security & Industry-Grade Skills
What you'll learn
⚡ Build autonomous AI Agents in n8n that use tools, retain memory, and make decisions - without writing code
⚡ Create a RAG-powered Knowledge Bot using Supabase and pgvector that answers from your own documents with zero hallucinations
⚡ Connect Claude Desktop and Cursor to n8n via MCP and turn them into AI operators that control real workflows on command
⚡ Design and deploy a 4-agent Multi-Agent Customer Support System with human-in-the-loop approval and production reliability
⚡ Secure AI workflows against prompt injection, tool poisoning, data exfiltration, and unsafe tool execution
⚡ Evaluate AI systems with LLM-as-judge scoring, hallucination detection, regression testing, and confidence thresholds
⚡ Debug, test and optimize AI agent workflows for cost, performance and real-world reliability at scale
⚡ Deploy n8n to a live VPS with Docker, Nginx, and SSL - and monitor it with structured logs, alerts, and cost tracking
⚡ Build and deliver client-ready AI automation systems that freelancers and agencies can charge premium rates for
Requirements
❗ Basic understanding of how the internet and APIs work - no programming degree required
❗ A laptop or desktop with internet access - every tool used in this course has a free tier, no paid subscriptions needed to start
❗ Willingness to build alongside the lectures - this is a hands-on course, not a passive watching experience
Description
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 strategies, retrieval evaluation, and multimodal ingestion. Section 7 covers MCP integration - turning n8n into an MCP server, connecting Claude Desktop and Cursor, and building workflows that AI systems can control directly.
Section 9 covers what most courses completely skip: production deployment to VPS with Docker and Nginx, structured logging and execution monitoring, automated failure alerting, AI-specific security including prompt injection and tool poisoning defence, evaluation frameworks with LLM-as-judge scoring and hallucination detection, advanced RAG with reranking and retrieval evaluation, and MCP deep dive covering tool contracts, context boundaries, and permission models.
WHAT MAKES THIS DIFFERENT
Most courses stop at it works on my machine. This course teaches you what happens when it breaks in production and exactly how to fix it. You will learn security patterns most instructors ignore, debugging strategies for AI workflows that behave unpredictably, and how to design systems that handle failure gracefully.
Every concept is demonstrated through a working project. Every project is built the way a professional would build it for a paying client.
Taught in Hindi with English subtitles, this course is built specifically for Indian developers and freelancers entering the AI automation market who want practical skills they can monetize immediately.
Who this course is for
⭐ Developers and engineers who want to move from traditional web development into high-paying AI automation and agentic systems work
⭐ Freelancers and consultants who want to offer AI automation services and charge 50,000 to 200,000 rupees per client project
⭐ Tech-curious beginners who want to build and deploy real AI systems using n8n without writing complex code from scratch
Homepage
Code:
https://anonymz.com/?
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