AI Automation with n8n

Build, secure and run AI-powered workflows in n8n: triggers, data handling, the AI Agent node, tools, RAG, error handling, guardrails and self-hosting.

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Syllabus

n8n Basics

1. What n8n Is and When to Use It
2. Installing and Running n8n
3. Anatomy of a Workflow
4. Items and Expressions

Triggers, APIs and Branching

1. Choosing a Trigger
2. HTTP Request and Credentials
3. IF, Switch and Merge

Handling Data

1. Edit Fields (Set) and Expressions
2. The Code Node
3. Loops and Batches
4. Filter, Sort, Aggregate and Remove Duplicates

AI Nodes in n8n

1. Basic LLM Chain and Prompts
2. Structured Output and Extraction
3. Text Classifier and Smart Routing
4. The AI Agent Node

Tools, Memory and RAG

1. Giving an Agent Tools
2. Memory for Chats
3. A RAG Pipeline in n8n

Reliability and Safety

1. Errors, Retries and Error Workflows
2. Securing Webhooks and Credentials
3. AI Guardrails and Cost Control

Deploying and Operating n8n

1. Self-Hosting with Docker Compose
2. Managing Workflows Like Code

Putting It Together

1. Case Study: AI Support Triage
2. Revision: Cheat Sheet and Self-Check