This course focuses on equipping students with a comprehensive understanding of various aspects within the realm of generative artificial intelligence (AI). Students will delve into topics including classical generative models such as VAE, GAN, AR, Flow, Diffusion, etc., and their applications to text, audio, image, video, 3D, and multimodal generation. By the end of the course, students are expected to possess the skills necessary to develop and evaluate generative AI models, and to apply them creatively in real-life applications. This is a topics course, and the course syllabus will be adjusted to fit the interests of the students.

Continuous Assessment: 70%

Examination: 30%

Examination Duration: 2 hours

Min. Examination Passing Requirement: 30%

For a student to pass the course, at least 30% of the maximum mark for the examination AND course project must be obtained.