Brain Computer interface Course
This course offers a practical guide to developing brain-computer interfaces using EEG and EMG signals, covering everything from signal acquisition to real-time implementation and validation.

4 to 360 hours 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 solid preprocessing, then get to grips with feature extraction, dimensionality reduction, and classifier design. You'll also tackle online adaptation, evaluation metrics, deployment workflows, and mitigation strategies so you can create and validate effective BCI prototypes with confidence.
Elevify advantages
Develop skills
- Design EEG/EMG setups: select channels, electrodes, and sampling for quick proof-of-concept BCIs.
- Build clean EEG/EMG pipelines: filter, remove artefacts, and normalise 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 say
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