~/courses/n8n-automation-engineering
n8n Automation Engineering
Turn a real business process into a modular, observable, fault-tolerant workflow that survives production — flaky APIs, bad data, expired credentials — and is safe to put PII through.
// The loop
model the process → build the happy path as modular nodes → feed it real + deliberately bad data → add error handling/retries/timeouts → add logging + failure alerting → harden secrets/egress → test the failure paths → version → deploy & smoke-test → save the runbook
// The 6-phase roadmap
- 01 Fundamentals — nodes, triggers & data flow
- 02 Workflow design patterns
- 03 Integrations — APIs, webhooks & auth
- 04 Reliability — errors, retries & alerting
- 05 AI in workflows (+ PII-safe egress)
- 06 Production ops — scaling, secrets & monitoring
A build-first course on designing, building, and running reliable automation with n8n. The target profile: an automation engineer who can take a real business process and turn it into a modular, observable, fault-tolerant workflow that survives contact with production — flaky APIs, bad data, expired credentials, partial failures — and is safe to put PII through.
What makes it engineering and not “wiring nodes until it works once” is the discipline: model the process first, build modular, then deliberately feed it bad data and test the failure paths — not just the happy path. Any workflow that puts sensitive data near a cloud LLM goes through an assert → redact → log egress discipline.