Brain Computer interface Course
This course equips you with practical skills to develop brain-computer interfaces using EEG and EMG signals, from signal acquisition to real-time application deployment.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Brain Computer Interface Course provides a quick, hands-on route from raw EEG and EMG signals to dependable real-time control. Learn hardware selection, safe acquisition, and robust preprocessing, then master feature extraction, dimensionality reduction, and classifier design. You also cover online adaptation, evaluation metrics, deployment workflows, and mitigation strategies so you can build and validate effective BCI prototypes with confidence.
Elevify advantages
Develop skills
- Design EEG/EMG setups: pick channels, electrodes, and sampling for fast PoC BCIs.
- Build clean EEG/EMG pipelines: filter, remove artifacts, and normalize signals.
- Extract robust BCI features: CSP, band power, ERD/ERS, and EMG time–frequency stats.
- Train and validate BCI classifiers: LDA/SVM, cross-validation, and metric reporting.
- Implement real-time BCI apps: low-latency buffers, smoothing, and safe user feedback.
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
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