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AIML in Engineering Course

AIML in Engineering Course
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. You will learn pump basics, failure types, feature creation, time-series models, and model checks suited for actual factories. It also includes deployment, risk handling, model explanations, and root cause checks to create useful, tested AI/ML solutions that boost uptime and reduce maintenance expenses.

Elevify advantages

Develop skills

  • Deploy strong AI/ML models in factories facing noise, data drift, and few failure examples.
  • Create sensor features for pump condition using time, frequency, and multi-sensor info.
  • Develop and check predictive maintenance models with time-sensitive validation.
  • Convert model results into maintenance steps, warnings, and design choices.
  • Conduct clear root cause analysis connecting ML features to real equipment failures.

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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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