Machine Learning Course for Mechanical Engineers
Master pump reliability through this Machine Learning course tailored for Mechanical Engineers. Learn about sensors, signal processing, and predictive models to minimise downtime, enhance designs, and leverage plant data for assured maintenance and engineering choices. Transform reactive approaches into proactive strategies with practical ML applications on centrifugal pumps.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This specialised Machine Learning course for Mechanical Engineers teaches using real pump data to reduce downtime and maintenance expenses. Gain knowledge on centrifugal pump basics, sensor types and signals, feature extraction, and predictive models for rotating machinery. It includes model deployment, dashboards, and decision processes to shift from reactive repairs to data-driven pump management.
Elevify advantages
Develop skills
- Diagnose pump failures: quickly identify cavitation, seal leaks, and bearing wear.
- Set up sensor data: configure vibration, temperature, and flow signals for ML analysis.
- Build ML models: train and validate predictive maintenance models for pumps.
- Engineer features: derive time and frequency features from pump vibration signals.
- Optimise designs: apply ML insights to improve pump design and maintenance schedules.
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.What our students say
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