Specialty Technology Course
Master edge AI for bearing fault detection in compact robotic arms. This course equips engineers with practical tools for sensor selection, signal processing, embedded platforms, risk mitigation, and reliable real-time condition monitoring in industrial settings.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain a fast, practical path to designing and deploying reliable edge-based fault detection systems. Define system requirements, select and mount sensors, tune sampling rates, build signal-processing and AI pipelines, choose embedded platforms, secure connectivity, validate performance, manage risk, and create maintainable production-ready monitoring solutions with clear workflows.
Elevify advantages
Develop skills
- Design edge sensor systems: select, mount, and integrate vibration and acoustic hardware.
- Build real-time signal pipelines: sampling, filtering, FFT, and feature extraction.
- Deploy compact edge AI: choose MCUs, optimize models, and run on-device inference.
- Validate reliability: plan lab, pilot, and field tests with clear performance metrics.
- Architect factory-ready solutions: secure comms, 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 are saying
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch 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 presentation style and video transcription, 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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