Udemy
n8n AI Agent Development 2025: Build Your First AI Agent
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence.
Build an engineering AI workflow you can explain—and keep safely read-only.
Turn synthetic temperature and vibration events into traceable equipment-health reports using Python, SQLite, n8n and bounded AI assistance. Instead of asking a model to diagnose machinery from unvalidated readings, you will build a simulated monitoring pipeline in which deterministic logic owns classification and a human owns decisions.
From telemetry to a reviewable maintenance draft
Follow the Smart Equipment Health Monitor across three fictional assets: PUMP-101, FAN-202 and MOTOR-303. Validate event contracts and timezone-aware timestamps, reject malformed measurements, record explainable anomaly reasons, persist evidence in SQLite and prevent duplicate events from creating repeated side effects.
Then map the evidence into n8n webhooks and review branches. Learn why an HTTP acknowledgment is not completed human approval, how to handle failures and retries, and how to keep operational authority outside the AI boundary.
Ground AI explanations in evidence
Design structured maintenance-report prompts that separate observations from unconfirmed hypotheses, cite supplied fictional SOP evidence and abstain when support is missing. Red-team prompt injection and hallucinations, evaluate report fidelity, and explore independent read-only lookup_event and lookup_sop tools. No AI tool receives equipment-control or execution authority.
Learn by building, testing and demonstrating
Five engineering missions, worked articles and scenario quizzes guide you from architecture to validation, orchestration, defense and demonstration. Finish with the Read-Only Equipment Health Analyst capstone: a trust-boundary diagram, reproducible Python project, normal/warning/critical/rejected examples, replay evidence, grounded reporting and an honest 2–3-minute portfolio walkthrough.
Who this course is for
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Udemy: 2026-10-22 · Coursera: 2026-10-22 · O'Reilly: 2026-10-22 · 365 Data Science: 2026-10-22
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