Brain Computer interface Course
This course equips learners with practical skills to develop Brain-Computer Interface (BCI) prototypes using EEG and EMG signals, from hardware selection and signal 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 and practical way from basic EEG and EMG signals to dependable real-time control. You will learn how to choose hardware, acquire signals safely, and preprocess them strongly. Then, you will master pulling out features, reducing dimensions, and designing classifiers. You will also learn about adapting online, evaluation measures, deployment processes, and strategies to reduce problems, so you can build and check effective BCI prototypes with assurance.
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 say
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