AIML in Engineering Course
Gain mastery in AIML for engineering using actual pump data. Cover sensor physics, feature creation, predictive maintenance models, deployment strategies, and root-cause analysis to reduce downtime, boost reliability, and transform plant data into solid design choices.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This AIML in Engineering Course teaches converting raw sensor data into solid predictive maintenance choices. It covers pump basics, failure types, feature engineering, time-series models, and plant-specific model checks. You will learn deployment, risk handling, model interpretability, and root cause analysis to create effective, proven AIML solutions that boost uptime and lower maintenance expenses.
Elevify advantages
Develop skills
- Deploy strong AIML models in plants facing noise, drift, and limited failure data.
- Create sensor features for pump health from time, frequency, and multi-sensor data.
- Develop and check predictive maintenance models using time-based evaluation.
- Convert model results into maintenance tasks, 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 workload.What our students say
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