Specialty Technology Course
Master edge AI for bearing fault detection in compact robotic arms. This course equips engineers with practical skills in sensor selection, signal processing, embedded platforms, risk mitigation, and reliable real-time condition monitoring for production environments. Gain expertise in designing, deploying, and validating fault detection systems using clear workflows.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a fast, practical path to designing and deploying reliable edge-based fault detection systems. You will learn to define requirements, select and mount sensors, tune sampling rates, build signal-processing and AI pipelines, choose embedded platforms, secure connectivity, validate performance, manage risks, and create maintainable production-ready monitoring solutions with repeatable workflows.
Elevify advantages
Develop skills
- Design edge sensor systems by selecting, mounting, and integrating vibration and acoustic hardware.
- Build real-time signal pipelines including sampling, filtering, FFT, and feature extraction.
- Deploy compact edge AI by choosing MCUs, optimizing models, and running on-device inference.
- Validate reliability through planned lab, pilot, and field tests with clear performance metrics.
- Architect factory-ready solutions with secure communications, alarms, OTA updates, and data logging.
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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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