In recent years, artificial intelligence technology has continued to enter the field of foreign language education, and gradually promoted the reconstruction of curriculum design, resource management and talent training methods. Aiming at the problems of scattered discipline boundaries, low resource utilization efficiency, and insufficient connection of ability training chain in traditional foreign language courses, this paper constructs an AI-enabled interdisciplinary foreign language curriculum system and talent training model. The research was carried out from three levels of course knowledge representation, intelligent scheme design and comprehensive resource management platform, and knowledge graph, learning portrait, task generation and resource recommendation were integrated into the unified computing framework. The experimental results show that the mean value of the overall evaluation of the constructed curriculum system reaches 4.66, the coverage rate of the curriculum target increases to 92.8%, and the accuracy rate of resource matching reaches 93.4%. The comprehensive score of the experimental group was improved to 85.12, which was significantly better than 76.94 of the control group. The research shows that this model can enhance the systematization of curriculum organization and the dynamic adaptation ability of training process, and provide an operational realization path for the digital transformation of foreign language education in colleges and universities.
