Abstract: This study provides an in-depth analysis of the current status of traditional pharmaceutical analysis course instruction and,through case-based exploration,systematically examines the significant contributions of artificial intelligence (AI) to pharmaceutical analysis education from three perspectives:analytical data processing,virtual laboratories,and instructional support.In addition,the potential challenges associated with the implementation of AI in pharmaceutical analysis courses are discussed,and corresponding strategies for addressing these challenges are proposed.