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Machine Learning Course for Mechanical Engineers

Machine Learning Course for Mechanical Engineers
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This focused Machine Learning Course for Mechanical Engineers demonstrates how to utilise real pump data to reduce downtime and maintenance costs. You will learn centrifugal pump basics, sensors and signal types, feature engineering, and predictive models customised for rotating equipment. The course includes deployment, dashboards, and decision workflows to shift from reactive repairs to dependable, data-driven pump performance.

Elevify advantages

Develop skills

  • Pump failure diagnosis: detect cavitation, seal leaks, and bearing wear quickly.
  • Sensor data setup: configure vibration, temperature, and flow signals for ML.
  • ML model building: train and validate predictive maintenance models for pumps.
  • Feature engineering: extract time and frequency features from pump signals.
  • Design optimisation: use ML insights to improve pump design and maintenance plans.

Suggested summary

Before starting, you can change the chapters and 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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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