• views: 211
• date: 13 May 2026
• posted by: 0nelove

Beginner to Advanced in 2026 — Build AI Agents, Multi-Agent Systems, RAG, Generative AI Workflows & No-Code Automations
What you'll learn
⚡ Build production-ready AI agents and agentic AI workflows in n8n from scratch — no coding required, even if you've never automated anything before.
⚡ Master n8n end-to-end: triggers, nodes, webhooks, HTTP requests, API integrations, branching logic, loops, error handling, and self-hosting.
⚡ Build a complete RAG system from scratch with chunking, embeddings, vector databases, and semantic search over your own knowledge base.
⚡ Design multi-agent systems using supervisor-and-worker architectures, sequential agents, and advanced context handoff between agents.
⚡ Ship 15+ real-world workflows: lead gen pipelines, support triage, invoice extraction, RAG assistants, financial news aggregators, and more.
⚡ Apply prompt engineering, agent memory, tool use, and autonomy patterns the way production-grade AI agents actually use them.
⚡ Build self-healing automations with centralized error handling, guardrails, logging, and human-in-the-loop checkpoints for production reliability.
⚡ Integrate n8n with the apps you already use — Google Sheets, Telegram, Gmail, Slack, CRMs, and 500+ other services.
⚡ Launch your own AI Automation Agency or freelance practice with a portfolio of working agentic AI workflows you can sell to real clients.
Requirements
❗ No coding experience or n8n exposure required. Everything is taught from the ground up in plain English with full visual explanations
❗ A computer, an internet connection, and a free n8n account (you'll set this up in the first section)
Description
Stop watching tutorials. Start shipping AI agents.
6 hours. 15 workflows. Zero filler.
n8n is the open-source AI workflow automation platform that's quietly become the#1 toolfor building AI agents, agentic AI workflows, and generative AI automations in 2026. 187k+ GitHub stars. $1B+ valuation. Used inside Fortune 500 companies. n8n is where serious builders go for building enterprise AI workflows.
This course is95% hands-on. You'll build real workflows from the first lecture. Concepts like webhooks, APIs, LLMs, prompt engineering, structured outputs, RAG, vector databases, multi-agent architectures, and error handling get taught the moment you need them inside a real project. No three-hour theory dumps. No watered-down demos. Real builds. Real outcomes. Workflows you can ship on day one.
Beginners welcome. Developers welcome. Marketers, ops leads, entrepreneurs, product managers — all welcome. The course meets you where you are and takes you to advanced.
What you'll build in 6 hours
A list of working systems, not topics
✨ ALead Generation & CRM Pipeline with webhook capture, enrichment, and full API chaining
✨ AnAutomated Social Media Publishing Pipeline with advanced routing and branching
✨ ASupport Triage Workflow powered by LLMs that classifies, routes, and responds to tickets autonomously
✨ AnInvoice Extraction Pipeline that forces strict JSON schemas from LLMs for reliable structured outputs
✨ ANetflix Ratings AI Agent with tools, memory, and full agent autonomy
✨ A completeRAG System from scratch — chunking, embeddings, vector stores, semantic search
✨ AnEnterprise QA Assistant on Telegram with advanced retrieval and conversational memory
✨ AFinancial Market News Aggregator that pulls RSS feeds and updates your RAG knowledge base on a schedule
✨ AMulti-Agent Marketing Team using a supervisor-and-workers architecture with subworkflows
✨ ACultural Travel Concierge showing advanced context handoff and sequential agent design
✨ ACentralized Error Handler & Self-Healing Pipeline with guardrails, logging, and production-grade reliability
Topics covered (deeply, through practice)
n8n fundamentals · Visual workflow builder · Triggers & nodes · Webhooks · HTTP requests · API integrations · Authentication & credentials · Data transformation · Conditional logic · Routing & branching · Loops · Merge logic · LLM integrations (OpenAI, Claude, Gemini, Ollama, DeepSeek) · Prompt engineering · Structured outputs · JSON schemas · AI agents · Agent tools & autonomy · Agent memory · RAG · Chunking strategies · Embeddings · Vector databases (n8n Simple Vector Store, Pinecone) · Semantic search · Knowledge bases · Multi-agent architectures · Supervisor-worker patterns · Sequential agents · Context handoff · Subworkflows · Error handling · Guardrails · Logging · Self-healing workflows · Production deployment · No-code automation · Generative AI workflows · Agentic AI workflows · AI workflow automation
Why this course works95% hands-on by design. You build from lecture one. Theory shows up only when you're about to use it.
No coding required. If you can drag, drop, and read English, you can finish this course.
Built for 2026. Every workflow uses current n8n AI agent nodes, LLM APIs, current vector database integrations.
Real systems, not toy demos. Every project is something you'd put in front of a paying client or deploy at work tomorrow.
Multi-role friendly. Whether you want to automate your own life, build internal tools, freelance, or launch an AI Automation Agency — the workflows transfer directly.
Future-proof. Agentic AI is the biggest shift since cloud. n8n is leading it. You'll be in the right place at the right time.
Who this course is for
⭐ Complete beginners who want a clear, hands-on path into AI agents, agentic AI, and workflow automation in 2026
⭐ Existing n8n users stuck on basic workflows who want to level up to AI agents, RAG, and multi-agent systems
⭐ Anyone tired of consuming AI content and ready to actually build, ship, and deploy something real with it



   
   
   

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