| Description
| 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. Participants will begin with an overview of artificial intelligence and its historical development, progressively delving into the foundational concepts and algorithms of machine learning and deep learning, along with their applications across various domains. The course also introduces the latest trends in AI technology, including attention mechanisms, self-supervised learning, large-scale AI models, and meta-learning.
Course Execution: Each week covers a specific topic, including theoretical lectures and practical exercises. Participants will engage in classroom discussions and group activities to facilitate idea exchange and knowledge sharing.
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