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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 targeted Machine Learning Course for Mechanical Engineers demonstrates how to utilise actual pump data to reduce downtime and maintenance expenses. You will learn basics of centrifugal pumps, types of sensors and signals, feature engineering, and predictive models customised for rotating machinery. The course includes deployment, dashboards, and decision processes to shift from reactive repairs to dependable, data-informed pump performance.

Elevify advantages

Develop skills

  • Pump failure diagnosis: quickly identify cavitation, seal leaks, and bearing wear.
  • Sensor data setup: set up vibration, temperature, and flow signals for ML applications.
  • ML model building: develop and verify predictive maintenance models for pumps.
  • Feature engineering: derive time and frequency features from pump signals.
  • Design optimisation: apply ML insights to improve pump design and maintenance strategies.

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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The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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