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Automation

n8n Automation

Design, build and maintain automations that connect the tools businesses already use, with AI steps and error handling.

n8n Automation cover
LevelIntermediate
Lessons38

Curriculum

7 modules38 lessons

Foundations & Architecture

5 lessons
  1. What is n8n? Understanding workflow automation vs. traditional coding
  2. Self-hosted vs. n8n Cloud (Cost analysis, data privacy, and hosting choices)
  3. Local Environment Setup: Installing n8n with Docker & npm
  4. Interface Tour: The Canvas, Node palette, Execution history, and Settings
  5. Anatomy of an n8n Node: Triggers, Actions, and Credentials

Core Concepts & Data Handling

5 lessons
  1. Understanding JSON data structures and n8n’s item-list paradigm
  2. Working with Expressions: JMESPath, built-in variables, and syntax rules
  3. Data Transformation Nodes: Edit Fields (Set), Code node (JavaScript/Python), and Item Lists
  4. Flow Control: If, Switch, Loop Over Items, and Merge nodes
  5. Hands-on Project: Automated multi-stage lead qualifier and routing pipeline

APIs, Webhooks & Custom Integrations

5 lessons
  1. Webhooks: Listening for real-time events, authentication, and testing with Postman
  2. HTTP Request Node: Methods (GET, POST, PATCH), Headers, and Query/Body params
  3. API Authentication: API Keys, Bearer Tokens, and OAuth2 setups
  4. Pagination Handling: Offset, Cursor, and Link header loops
  5. Working with Binary Data: Processing files, CSVs, PDFs, and images

Prompt Engineering for n8n AI Agents

7 lessons
  1. Chat Prompting vs. Agentic Directives: Why traditional prompts fail in automation
  2. System Message vs. Prompt Input: Decoupling static guardrails from dynamic data ({{ $json.chatInput }})
  3. The 6-Part Agent Prompt Framework: Persona, Objectives, Sequential Logic, Constraints, Tool Definitions, and Response Formatting
  4. Tool-Steering Prompts: Writing tool descriptions and instructions that ensure high tool-calling accuracy
  5. Structured Outputs & JSON Enforcement: Forcing agents to return valid schemas for downstream nodes
  6. Few-Shot & Negative Prompting: Preventing hallucinations, token bloat, and prompt injections
  7. Hands-on Project: Prompting an autonomous triaging agent with tool routing and fallback triggers

Advanced AI & Agentic Orchestration

6 lessons
  1. Deep Dive into n8n’s Advanced AI nodes (LangChain integration)
  2. Connecting LLMs: OpenAI, Anthropic Claude, Gemini, and local models via Ollama
  3. Attaching Tools: Calculator, Custom HTTP Tools, and Workflow-as-a-Tool nodes
  4. Agent Memory: Window Buffer Memory, Redis Chat Memory, and conversation state
  5. Vector Databases & RAG: Connecting Pinecone, Qdrant, or Supabase Vector for private document Q&A
  6. Multi-Agent Workflows: Routing between specialized sub-agents (Supervisor & Worker pattern)

Advanced Logic, Reliability & Error Handling

5 lessons
  1. Error Handling: Error Triggers, Try/Catch logic, and alerts (Slack, Email, Discord)
  2. Modular Design: Sub-workflows using the Execute Workflow node
  3. State Management: Managing variables across runs with Static Data and external databases
  4. Performance Optimization: Concurrency limits, execution data pruning, and memory tuning
  5. Hands-on Project: End-to-end e-commerce order sync and inventory alert system

DevOps, Scaling & Production Deployment

5 lessons
  1. Production VPS Deployment: Hetzner/DigitalOcean setup with Docker Compose & Nginx Reverse Proxy
  2. Enterprise Security: SSL certificates, environment variable hygiene, credential encryption, and RBAC
  3. Scaling n8n: Queue mode configuration with Redis and multi-worker clusters
  4. Workflow Version Control: Git integration, CLI exports, and automated backup routines
  5. Capstone Project: Multi-tenant AI SaaS backend and operations engine

Pick a skill. Start building.

Four practical courses, one opening price, and a portal designed to keep you moving from lesson one to a finished project.

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