n8n AI Automation Workflows
Build 5 real AI automation workflows in n8n — from email classifiers to RAG chatbots. Learn AI agents, memory, vector stores, and MCP. Free course with certificate.
What You'll Learn
- Build AI automation workflows in n8n using triggers, nodes, and connections
- Use the AI Agent node with system prompts, tools, and LLM providers
- Implement persistent memory with PostgreSQL and Redis for conversation-aware agents
- Create RAG pipelines with embeddings, vector stores, and document ingestion
- Apply production best practices including error handling, queue mode, and credential management
- Design a complete multi-tool AI agent with RAG, memory, and error recovery
Course Syllabus
You’re Automating the Wrong Way
Most automation tools give you triggers, filters, and if-then logic. That was fine in 2022. But the work you actually want to automate — classifying messy emails, answering questions from your docs, summarizing research across 10 tabs — needs AI, not just logic.
n8n is the only visual automation platform with 70+ dedicated AI nodes built on LangChain. While Zapier charges per step and gives you 6 AI integrations, n8n gives you AI agents, vector stores, memory, RAG pipelines, and MCP tools — with a community of 200,000+ and 177,000+ GitHub stars.
And yet, there’s no free AI-focused n8n course with a certificate. The official n8n courses? Zero AI content. Udemy courses? 80% general automation, 20% AI bolted on as an afterthought. This course fixes that.
What You’ll Build
This isn’t a tour of features. You’ll build 5 real workflows you can use the day you finish each lesson:
- AI Email Classifier — Gmail trigger reads incoming emails, GPT-4o classifies them by intent, n8n auto-labels and routes them
- Conversational Chatbot — Chat trigger + AI Agent with persistent memory that actually remembers your previous messages
- RAG Knowledge Base — Upload your docs, embed them in a vector store, then ask questions and get answers grounded in your data
- Multi-Tool Research Agent — An AI agent that searches the web, queries Wikipedia, runs code, and synthesizes findings
- MCP-Connected Assistant — Your n8n workflows exposed as MCP tools that Claude Desktop or other AI assistants can call directly
Who This Course Is For
- Non-technical professionals who want AI-powered automation without writing code
- Developers exploring n8n as an AI orchestration layer alongside their codebase
- Solopreneurs and freelancers who need to automate repetitive AI tasks
- Zapier/Make users who’ve hit the ceiling of what basic automation can do
- Anyone curious about AI agents, RAG, and the Model Context Protocol
Prerequisites
- A free n8n account (Cloud trial or self-hosted)
- An OpenAI API key (or any supported LLM provider)
- No programming experience required — but comfort with JSON is a plus
Frequently Asked Questions
Do I need coding experience to take this course?
No. n8n is a visual workflow builder — you connect nodes by dragging lines, not writing code. Some lessons reference JSON expressions, but we explain every step.
Do I need to pay for n8n?
n8n Cloud has a free trial, and the Starter plan is EUR 24/month. You can also self-host n8n completely free with unlimited executions — the course covers both options.
Which AI providers does this course use?
Primarily OpenAI (GPT-4o), but n8n supports 15+ providers including Anthropic Claude, Google Gemini, Groq, Mistral, and local models via Ollama. You can swap providers in any workflow.
Is this course really free?
Yes — all 8 lessons, quizzes, and the certificate are completely free.