AIML in Engineering Course
Gain expertise in applying AI and ML to engineering using authentic pump datasets. Delve into sensor mechanics, feature engineering, predictive maintenance modelling, implementation strategies, and root cause examination to minimise operational halts, enhance dependability, and leverage industrial data for assured engineering choices. This comprehensive programme equips you to harness AIML for tangible improvements in plant performance and cost efficiency.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches how to convert raw sensor data into dependable predictive maintenance insights for engineering applications. You will explore pump basics, failure patterns, feature creation, time-series analysis, and model assessment suited for actual industrial setups. Additionally, it includes model deployment, risk handling, explainability techniques, and root cause investigation to develop effective, verified AI/ML systems that boost equipment availability and reduce upkeep expenses.
Elevify advantages
Develop skills
- Deploy sturdy AI/ML models in industrial environments handling noise, data drift, and limited failure data.
- Create sensor-based features for equipment health monitoring using temporal, frequency, and multi-sensor inputs.
- Develop and assess predictive maintenance models incorporating time-sensitive validation methods.
- Convert model predictions into actionable maintenance plans, notifications, and engineering recommendations.
- Conduct clear root cause investigations connecting ML features to tangible equipment malfunctions.
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.What our students say
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