Brain Computer interface Course
Master Brain Computer Interface technology by learning EEG/EMG acquisition, preprocessing, feature extraction, and real-time classification. Build robust, ethical BCI systems ready for deployment in cutting-edge tech products and research-driven applications.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Brain Computer Interface Course gives you a fast, practical path from raw EEG and EMG signals to reliable 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 workloadWhat our students say
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