Automation with N8n Course

Lesson 1 • What Is Workflow Automation

Defines automation, its business value, and common use cases. Establishes the conceptual baseline needed for all subsequent N8n work.

Lesson 2 • Creating and Running Your First Workflow

Guides students through building a minimal end-to-end workflow using a trigger and one action node. Reinforces interface knowledge with hands-on practice.

Lesson 3 • Installing and Configuring N8n

Covers local, Docker, and cloud installation methods and initial configuration. Students complete a working N8n instance ready for development.

Lesson 4 • Navigating the N8n Editor Interface

Tours the canvas, sidebar, and menu system of the N8n editor. Students confidently locate nodes, settings, and execution logs.

Lesson 1 • Core Action Nodes

Introduces HTTP Request, Set, Function, and IF nodes as the building blocks of logic. Students combine these nodes to transform and route data.

Lesson 2 • Looping and Splitting Data

Explains SplitInBatches, item iteration, and loop patterns for processing lists. Students handle large datasets without overloading downstream services.

Lesson 3 • Trigger Nodes and Scheduling

Covers manual, webhook, cron, and event-based triggers. Students select the right trigger type for each automation scenario.

Lesson 4 • Understanding N8n Data Structures

Explains items, JSON objects, and arrays as N8n's internal data model. Correct data understanding prevents mapping errors in later workflows.

Lesson 1 • Built-in String and Number Methods

Covers string manipulation, number formatting, and type conversion functions. Students clean and standardize incoming data without custom code.

Lesson 2 • Working with Arrays in Expressions

Applies JavaScript array methods within expressions to filter, map, and reduce item lists. Students transform multi-item datasets inline without extra nodes.

Lesson 3 • Date and Time Handling

Teaches date parsing, formatting, and arithmetic using Luxon inside expressions. Students build time-aware workflows such as scheduling and deadline checks.

Lesson 4 • Using the Code Node for Advanced Logic

Introduces the Code node for full JavaScript execution when expressions are insufficient. Students write reusable code blocks that return properly structured items.

Lesson 1 • HTTP Request Node Deep Dive

Teaches advanced HTTP Request configuration including headers, query params, and body types. Students call any REST API not covered by a built-in node.

Lesson 2 • Using Pre-built Integration Nodes

Explores popular app nodes such as Google Sheets, Slack, and email services. Students configure app nodes to read, write, and send data without custom code.

Lesson 3 • Error Handling for API Calls

Implements retry logic, error branches, and status code checks for unreliable APIs. Students build resilient integrations that recover from transient failures.

Lesson 4 • Webhook Integrations and Inbound Data

Configures N8n as a webhook receiver for external services to push data into workflows. Students validate, parse, and respond to inbound webhook payloads.

Lesson 1 • Modular Workflow Design with Sub-workflows

Introduces the Execute Workflow node to call child workflows from a parent. Students decompose complex automations into reusable, independently testable modules.

Lesson 2 • Parallel Execution and Branch Merging

Designs workflows that run multiple branches simultaneously and merge results. Students reduce total execution time for independent tasks.

Lesson 3 • Workflow Versioning and Documentation

Establishes naming conventions, sticky notes, and version tagging for team workflows. Students produce workflows that colleagues can understand and maintain.

Lesson 4 • State Management and Workflow Variables

Manages persistent state using static data, global variables, and external stores. Students build workflows that remember context across executions.

Lesson 1 • Performance Profiling and Optimization

Identifies slow nodes, excessive API calls, and inefficient loops using execution timing. Students reduce workflow runtime and API quota consumption.

Lesson 2 • Testing Workflows with Mock Data

Uses pinned data and manual triggers to simulate real inputs during development. Students validate workflow logic without triggering live external services.

Lesson 3 • Reading and Interpreting Execution Logs

Navigates the execution history panel to trace data flow and identify failure points. Students pinpoint the exact node and item that caused an error.

Lesson 4 • Try-Catch Patterns in N8n

Implements error branches and continue-on-fail settings to handle node-level exceptions. Students prevent single-item failures from halting entire workflow runs.

Lesson 1 • Scaling and High Availability

Configures horizontal scaling with multiple workers and load balancing for N8n. Students ensure workflows continue running during node failures or traffic spikes.

Lesson 2 • Security Hardening for N8n

Applies authentication, network restrictions, and secrets management to protect N8n. Students close common attack vectors before exposing N8n to production traffic.

Lesson 3 • Production Deployment Architectures

Compares self-hosted, cloud, and hybrid deployment models for production N8n. Students select and configure the architecture that fits their infrastructure.

Lesson 4 • Database and Queue Configuration

Configures PostgreSQL as the production database and Redis for queue-mode scaling. Students replace the default SQLite setup for high-volume workloads.

Lesson 1 • Lead Capture and CRM Automation

Creates a webhook-triggered workflow that enriches and routes inbound leads to a CRM. Students integrate form tools, enrichment APIs, and notification channels.

Lesson 2 • Automated Reporting and Dashboards

Generates scheduled reports by querying data sources and formatting output for stakeholders. Students deliver automated summaries via email, Slack, or spreadsheet.

Lesson 3 • End-to-End Project Review and Deployment

Reviews a complete project for quality, security, and performance before production release. Students apply a deployment checklist and present their automation to peers.

Lesson 4 • AI-Assisted Workflow Automation

Integrates large language model APIs into workflows for classification, summarization, and generation. Students build AI-augmented automations that handle unstructured data.