CSYE7380 (Theory and Practical Applications of AI Generative Modeling) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Covers transformer-based language models (e.g., ChatGPT and Bard); generative image models (e.g., GAN and variational autoencoder); and generative models for structured data (e.g., Bayesian networks). Explores generative models for data of major modalities, namely, textual, image, and structured relational. Offers students an opportunity to learn how to build such models for practical applications in different verticals using Python and numerous publicly available libraries in Keras/TensorFlow and PyTorch. Given recent surges in generative modeling tools, generative modeling technologies and applications are necessary skills for students entering the field of industrial data science.
Data updated October 2026.