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 equipment reliability and cut costs.

flexible workload from 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 basics of pumps, ways they fail, creating features, modelling time-series data, and checking models suited for actual factories. It also includes putting models into use, handling risks, making sense of results, and finding root causes, so you can create useful, tested AIML solutions that boost uptime and reduce maintenance expenses.
Elevify advantages
Develop skills
- Deploy strong AIML models in factories dealing with noise, changes, and few failure examples.
- Create sensor features for pump condition using time, frequency, and data from different sensors.
- Develop and check predictive maintenance models with evaluation that considers time.
- Turn model results into maintenance steps, warnings, and design choices.
- Carry out clear root cause analysis connecting ML features to real 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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