Automation & AI Integration
Workflow Automation with n8n
A01 · Practitioner
Entry requirements
F01 or an API and JSON diagnostic
What 36 hours means
- Lessons
- 24 h
- Capstone
- 8 h
- Assessment
- 2 h
- Remediation
- 2 h
Syllabus
Four modules, twelve lessons. Every lesson states what it covers and the evidence you produce for it.
Module 1
Workflow basics
Triggers and workflow data · JSON and expressions · Branching and loops
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A01.01 · 120 min
Triggers and workflow data
Create manual and webhook triggers; inspect item flow.
Evidence: Two inputs traverse the workflow with their IDs preserved.
A01.02 · 120 min
JSON and expressions
Map nested fields and handle absent optional values.
Evidence: Expressions pass fixtures for normal, empty and missing-field input.
A01.03 · 120 min
Branching and loops
Module 2
Integration
HTTP integrations · Data lookup · Business filtering
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A01.04 · 120 min
HTTP integrations
Call a mock customer API with pagination and timeouts.
Evidence:
Module 3
AI decisions
Latest event logic · AI classification · Output review
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A01.07 · 120 min
Latest event logic
Choose the latest delivery attempt using timestamp and a tie-breaker.
Evidence:
Module 4
Reliable operation
Human escalation · Retries and audit · Evidence and deployment
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A01.10 · 120 min
Human escalation
Route ambiguous, failed or high-impact cases to a review queue.
Evidence:
Capstone
Build an exception-handling workflow using synthetic delivery data, input classification, customer lookup, a grounded resolution and output checks. Submit successful exception and noise cases plus failure evidence.
Lab environment
Workflow sandbox
Lab infrastructure is not yet provisioned, so this describes the environment the course is designed for rather than one you can launch today.