AIML in Engineering Course
Gain expertise in applying AI/ML to engineering challenges using authentic pump datasets. Explore sensor mechanics, sophisticated feature engineering, predictive maintenance modelling, practical deployment, and in-depth root cause analysis. These skills enable you to minimise downtime, enhance system reliability, and leverage industrial data for informed engineering choices and cost savings.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This course equips you with skills to convert raw sensor data into actionable predictive maintenance insights for engineering applications. Delve into pump operations, common failure patterns, advanced feature extraction, time-series predictive models, and rigorous model assessment using real-world plant scenarios. Additionally, master model deployment strategies, risk assessment techniques, explainable AI methods, and root cause investigations to develop robust, verified AI/ML systems that boost equipment uptime and reduce maintenance expenses significantly.
Elevify Advantages
Develop Skills
- Deploy resilient AI/ML models in industrial settings handling data noise, drift, and limited failure data.
- Design sensor-based features for equipment monitoring using temporal, spectral, and multi-sensor inputs.
- Develop and rigorously test predictive maintenance models incorporating time-series validation methods.
- Convert AI predictions into practical maintenance protocols, warnings, and engineering recommendations.
- Conduct explainable root cause investigations connecting model insights to actual equipment faults.
Suggested Summary
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