Abstract: To improve food science interdisciplinary teaching quality, research progress of artificial intelligence（AI）in food science was combined, existing practical teaching resources and advantages were integrated, and relevant knowledge points were mixed, to construct an experimental teaching course group of food science with deeply integrated AI．It included basic algorithm simulation experiments, intelligent design and development experiments, and exploratory experiments on food AI application．Students were guided through practical examples to use AI algorithms and computer technology to solve food industry-related problems and realize applications．Course group had characteristics of informatization, digitization, and technology．This could improve students' innovation ability and digital thinking, and help students better adapt to era development needs of AI．