Abstract:  With the promotion of national policies for medical innovation and digital and intelligent transformation, pharmaceutical education is confronted with challenges such as limited interdisciplinary experimental resources and lagging integration of new technologies. This article explores the innovative reform path of the pharmaceutical professional skills experiment course major driven by artificial intelligence (AI) technology, and proposes four major trends in transformation and upgrading: ① Intelligence of virtual simulation experiments, enhancing the authenticity of experiments through AI and addressing ethical and cost-related issues; ② In-class and after-class integrated learning breaks the limitations of time and space to achieve autonomous training; ③ Precise teaching feedback delivers personalized guidance based on data analysis. Normalized development of AI technology facilitates AI model optimization fed by teaching data; ④ Taking anti-tumor drug design as an example, it illustrates the specific applications of AI in pharmaceutical chemistry, analytical pharmacy, pharmacology and pharmaceutics experiments, such as target prediction, image recognition, molecular docking and release curve modeling. It is ultimately emphasized that AI should be combined with teachers' leading role. Systematic planning can promote the restructuring of pharmaceutical education ecosystem and cultivate interdisciplinary talents equipped with professional competence and AI literacy.