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Predictive Maintenance Course

Predictive Maintenance Course
4 to 360 hours of flexible workload
certificate valid in your country
3.6 rating

What Will I Learn?

This Predictive Maintenance Course equips you with practical tools to reduce unplanned downtime and maintenance costs. Learn the fundamentals of rotating equipment, key failure modes, and how to interpret vibration, temperature, electrical, and process indicators. Develop simple prediction logic, data collection strategies, and decision workflows that connect condition alerts to work orders, spare parts planning, and tangible business outcomes.

Elevify Advantages

Develop Skills

  • Design PdM logic: establish thresholds, trend rules, and straightforward decision workflows.
  • Diagnose failures: interpret vibration, oil, thermal, and electrical condition indicators.
  • Analyse pumps and motors: connect failure modes to symptoms and repair actions.
  • Plan maintenance: coordinate work orders, spares, and inspections with PdM alerts.
  • Prove business value: measure downtime, cost savings, and reliability KPIs.

Suggested Summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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