AIML in Engineering Course
This course equips engineers with practical AI/ML skills for predictive maintenance, focusing on sensor data processing, model development, deployment, and root cause analysis to enhance plant reliability and efficiency.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The AIML in Engineering Course teaches you how to transform raw sensor data into solid predictive maintenance choices. You will learn about pump basics, failure patterns, feature engineering, time-series modelling, and model assessment suited to actual plants. You will also explore deployment, risk handling, interpretability, and root cause analysis to create practical, verified AIML solutions that boost uptime and reduce maintenance expenses.
Elevify advantages
Develop skills
- Deploy strong AIML models in plants dealing with noise, drift, and limited failure labels.
- Engineer sensor features for pump health using time, frequency, and cross-sensor data.
- Build and validate predictive maintenance models with time-aware evaluation.
- Translate model outputs into maintenance actions, alerts, and design decisions.
- Perform interpretable root cause analysis linking ML features to physical failures.
Suggested summary
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