AIML in Engineering Course
Gain expertise in AIML for engineering using genuine pump data. Master sensor principles, feature engineering, predictive maintenance modelling, deployment techniques, and root-cause analysis to minimise downtime, enhance reliability, and transform plant data into assured design choices that drive operational success.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches how to convert raw sensor data into solid predictive maintenance choices for engineering. You will grasp pump basics, failure patterns, feature creation, time-series models, and evaluation methods suited to actual plants. It also includes deployment strategies, risk handling, model interpretability, and root cause investigations to develop effective AIML systems that boost uptime and reduce maintenance expenses.
Elevify advantages
Develop skills
- Deploy sturdy AIML models in plants facing noise, drift, and limited failure data.
- Create sensor features for pump condition using time, frequency, and multi-sensor inputs.
- Develop and check predictive maintenance models with time-sensitive validation.
- Convert model results into practical maintenance steps, warnings, and design choices.
- Conduct clear root cause analysis connecting ML features to physical breakdowns.
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 workloadWhat our students say
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