A free Stanford course

XCS224U

Stanford School of Engineering

This project-oriented course focuses on building efficient and reliable models for understanding human language, drawing from linguistics, natural language processing, and machine learning. It covers tasks like contextual language representation, information retrieval, and NLU model evaluation. The course involves hands-on work to build baseline models and develop original models for class-wide competitions. The second half of the course is dedicated to an individual project in natural language understanding, following best practices in the field and incorporating topics like evaluations, semantic parsing, and grounded language understanding.

https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp&si=XsWOdyJY7KhEhDJG