Move beyond manual triggers and build workflows that run themselves. You'll create event-driven automations using webhooks, connect workflows to each other with the producer-consumer pattern, and schedule recurring tasks with conditional logic.

Event-Driven n8n Workflows with Webhooks

Receive a webhook and respond

Add validation to a webhook workflow

Extract and transform nested webhook data

Communicating Between n8n Workflows

Building a producer-consumer workflow

Handle the response from a downstream workflow

Scheduling n8n Automations

Configure a scheduled workflow

Modify a scheduled workflow to POST downstream

Building Event-Driven and Scheduled Automations

Connect your workflows to the outside world. You'll fetch live data from external APIs, transform and validate it using JavaScript and Python Code nodes, and persist results to n8n data tables so your automations can remember what they've already processed.

Retrieving Data from External APIs

Fetch weather data from an API

Filter API results with query parameters

Transforming and Validating Data with Code Nodes

Run and read a JavaScript Code node

Run and read a Python Code node

Modify an existing Code node

Persisting Data with Data Tables

Write and read workflow data

Process only new records

Working with APIs, Code, and Data Tables

Tackle real-world data complexity at scale. You'll process large datasets in controlled batches, split nested structures apart and reassemble them, and extract reusable logic into sub-workflows for clean, modular automation design.

Looping and Batch Processing

Process data in batches

Handle rate limits with delays

Splitting, Aggregating, and Summarizing Data

Split nested data into individual items

Compute grouped summaries

Split, process, and reassemble

Sub-Workflows and Modular Design

Wire up a sub-workflow

Route orders to different sub-workflows

Advanced Data Processing and Workflow Patterns

Make your automations production-ready. You'll add error handling with validation checkpoints and fallback routing, build logging and output evaluation for observability, and bring everything together in a capstone workflow that's reliable enough to run unattended.

Error Handling and Fallbacks

Enforce validation checkpoints

Build an error monitor workflow

Route HTTP errors instead of stopping

Evaluating and Logging Workflow Outputs

Add logging checkpoints with Data Tables

Build an output evaluation quality gate

Building a Production-Ready Automation

Assemble the end-to-end capstone pipeline

Congratulations!

Reliability and Production-Readiness

Take your n8n skills to the next level by building autonomous, production-ready workflow automations. In this course, you'll move beyond manual triggers to create event-driven workflows with webhooks, schedule recurring tasks, and connect workflows using the producer-consumer pattern. You'll fetch and transform data from external APIs using Code nodes, persist results with data tables, and process complex datasets with loops, batching, and split-aggregate patterns. Finally, you'll add error handling, logging, and output evaluation to build automations reliable enough to run unattended. By the end, you'll assemble a complete production-ready workflow that brings every pattern together.

<h2>Build Event-Driven and Scheduled Automations</h2> You'll start by moving beyond manual triggers to build n8n workflows that run themselves. You'll create event-driven automations using Webhook Triggers — receiving incoming data, validating payloads, and sending custom HTTP responses. You'll extract and transform nested JSON fields, then connect separate workflows using the producer-consumer pattern, where one workflow POSTs data and another processes it. You'll also automate recurring tasks with the Schedule Trigger, combining time-based execution with conditional logic to control when work actually happens.<br><br> <h2>Fetch API Data, Write Code, and Store Results</h2> Next, you'll integrate external data sources into your automations. Using the HTTP Request node in GET mode, you'll pull live data from REST APIs, customize responses with query parameters, and flatten deeply nested JSON into clean, usable fields. You'll run pre-built JavaScript and Python scripts inside Code nodes to transform, validate, and enrich data — building the skills to read, understand, and modify code without writing it from scratch. You'll also persist results between workflow runs using n8n's built-in data tables, and implement deduplication logic to make your automations idempotent and safe to run on repeat.<br><br> <h2>Process Complex Data at Scale</h2> As your datasets grow, you'll learn patterns for handling volume and complexity. You'll batch-process large datasets with the Loop Over Items node, adding Wait nodes to stay within API rate limits. You'll use Split Out to break nested arrays — like invoice line items or order details — into individual rows, process each one, then reassemble them with Aggregate or compute grouped statistics with Summarize. You'll also extract shared logic into reusable sub-workflows using the Execute Sub-Workflow node, keeping your automations clean, modular, and easy to maintain.<br><br> <h2>Add Error Handling and Ship Production-Ready Pipelines</h2> Finally, you'll make your n8n automations resilient enough to run unattended in production. You'll enforce data validation with Stop and Error nodes, build centralized error monitoring workflows with the Error Trigger, and handle per-node failures gracefully using error output routing. You'll add observability through logging checkpoints and output evaluation quality gates. The course culminates in a hands-on capstone where you build a complete end-to-end pipeline — scheduled API fetching, data transformation, deduplication, batch processing, and quality evaluation — then harden it for production. By the end, you'll have the skills to design, build, and deploy autonomous n8n automations you can trust to run on their own.

Introduction to Workflow Automation with n8n

Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule. 

Intermediate Workflow Automation with n8n

Run and read a Python Code node

Exercice interactif pratique