This course explores the principles, methodologies, and applications of modern generative AI models, including large language models and diffusion models. Students will gain hands-on experience in designing, training, and fine-tuning generative models while examining their real-world impact across industries. We will also discuss the ethical implications of generative AI, addressing critical issues like bias, misinformation, intellectual property, and societal consequences. 

Note: To pass the course, the student need to obtain a minimum of 50% in the overall mark.