Brain Computer interface Course
This course equips learners with practical skills to develop functional Brain-Computer Interfaces (BCIs) using EEG and EMG signals, from hardware selection and data processing to real-time implementation and evaluation.

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 basic EEG and EMG signals to dependable real-time control. You will learn how to choose hardware, acquire data safely, and preprocess effectively, then gain expertise in feature extraction, reducing dimensions, and designing classifiers. Additionally, you will explore online adaptation, evaluation measures, deployment processes, and mitigation approaches to confidently create and verify effective BCI prototypes.
Elevify advantages
Develop skills
- Design EEG/EMG setups: select channels, electrodes, and sampling rates for rapid proof-of-concept BCIs.
- Build clean EEG/EMG pipelines: filter data, eliminate artefacts, and normalise signals.
- Extract robust BCI features: CSP, band power, ERD/ERS, and EMG time-frequency statistics.
- Train and validate BCI classifiers: LDA/SVM, cross-validation, and reporting metrics.
- Implement real-time BCI applications: low-latency buffers, smoothing, and secure user feedback.
Suggested summary
Before starting, you can change the chapters and 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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