Faced with limited resources in teaching undergraduate artificial intelligence courses, this article explores innovative interactive project designs that range from fundamental algorithm implementation to low-resource applications of large language models (LLMs). These strategies aim to help second-year students master core AI concepts while developing problem-solving skills.
