Udemy – ChatGPT & Brain-Computer Interfaces: Vibe Coding For All

Source

https://www.udemy.com/course/chatgpt-brain-computer-interfaces-vibe-coding-for-all

File Size

791.4 MB

Publisher

Ildar Rakhmatulin

Updated

August 23, 2025

Description

Lecture 1: Introduction: Introduction to the course. Why do we need it? Why Large Language Model and ChatGPT? Limitations of standart machine learning implementation and prospects for Large Language Model models?
Lecture 2: Hardware for Brain-Computer Interface: Introduction to Hardware. How to measure EEG, Difference between real-time and non-real-time applications, etc
Lecture 3: Dataset for the Course: Where to find a dataset for EEG research. How to choose a dataset, etc. Introduction to the dataset.
Lecture 4: Machine Learning with Vibe Coding to detect emotions via EEG: How to create a machine learning model via Vibe coding to detect the Emotional stage via EEG signals
Lecture 5: EEG detects emotions via OpenAI: Connect OpenAI and start making feature extraction from EEG data directly in ChatGPT
Lecture 6: Signal Processing and Feature Extraction with OpenAI: Create signal processing via vibe coding and continue to make feature extraction via OpenAI
Lecture 7. Brain-computer interface connects to OpenAI to make feature extraction from EEG: Connect the ironbci Brain-computer interface to OpenAI. Send data from BCI directly to OpenAI for feature extraction
Lecture 8. How to improve the Result. Conclusion: How can we improve accuracy, future steps, and prospect direction for Large Language Model and EEG

Individuals with a strong interest in EEG and brain-computer interfaces who want to explore the technical aspects of EEG signal processing as a hobby or personal project.
Graduate and advanced undergraduate students in fields such as neuroscience, biomedical engineering, data science, and psychology, as well as educators looking to integrate EEG signal processing into their curriculum.
Neuroscientists and Researchers: Professionals and academics who want to leverage Python for analyzing EEG data to advance their research in neuroscience and related fields.
For neuro enthusiasts

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