Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various fields.
The course emphasizes key principles in model building, optimization, and real-world generative AI use cases.
