| Description
| Course Overview: This course delves into the fundamentals and latest advancements in the field of artificial intelligence, covering topics such as machine learning, deep learning, natural language processing, and generative adversarial networks. The course also introduces the latest trends in AI technology, including attention mechanisms, self-supervised learning, large-scale AI models, and meta-learning, and provides case studies and hands-on exercises in related areas.
Course Execution: Participants will engage in classroom discussions and group activities to facilitate idea exchange and knowledge sharing. Students may choose to undertake advanced research projects on specific topics of course and submit final reports. The final three weeks of research projects will be assessed and eligible for additional rewards. Students can sign up for research projects with the course instructor during the semester.
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