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.
1Workflow basics3 lessons · 6 h
- A01.01
Triggers and workflow data
120 minCreate manual and webhook triggers; inspect item flow.
Evidence: Two inputs traverse the workflow with their IDs preserved.
- A01.02
JSON and expressions
120 minMap nested fields and handle absent optional values.
Evidence: Expressions pass fixtures for normal, empty and missing-field input.
- A01.03
Branching and loops
120 minRoute conditions and process multiple items safely.
Evidence: Each item reaches the correct branch exactly once.
2Integration3 lessons · 6 h
- A01.04
HTTP integrations
120 minCall a mock customer API with pagination and timeouts.
Evidence: A failed call produces a controlled error route.
- A01.05
Data lookup
120 minRetrieve a customer profile using a validated customer ID.
Evidence: The lookup returns only the intended synthetic customer.
- A01.06
Business filtering
120 minFilter locker availability by location, size and capacity.
Evidence: All incompatible lockers are excluded from fixture results.
3AI decisions3 lessons · 6 h
- A01.07
Latest event logic
120 minChoose the latest delivery attempt using timestamp and a tie-breaker.
Evidence: Repeated and out-of-order events produce the expected latest record.
- A01.08
AI classification
120 minSeparate actionable exceptions from noise with structured output.
Evidence: A labelled test set exposes false positives and false negatives.
- A01.09
Output review
120 minCheck messages for unsupported promises, internal codes and sensitive fields.
Evidence: Blocked content cannot reach the simulated delivery action.
4Reliable operation3 lessons · 6 h
- A01.10
Human escalation
120 minRoute ambiguous, failed or high-impact cases to a review queue.
Evidence: Escalation includes a reason and context without sending a customer message.
- A01.11
Retries and audit
120 minUse correlation IDs and idempotent processing after partial failures.
Evidence: Replaying an event does not create a second effect.
- A01.12
Evidence and deployment
120 minCapture sanitised traces and export a portable workflow.
Evidence: A peer reproduces one ALLOW, BLOCK, escalation and noise case.
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.