Aiming at the programming technical barriers faced by non-major students in AI literacy education courses, this paper constructs an integrated “demand-technology-outcome” teaching framework with the intelligent agent programming platform as the core tool, combined with the concept of project-based learning. By analyzing the pain points of non-major students in programming learning, a teaching process of “intelligent agent assistance + interdisciplinary collaboration” is designed, and a multi-dimensional intelligent evaluation system is established. With non-major students in normal universities as the practice objects, this model can significantly reduce the threshold for programming entry, improve students’ creative transformation ability and team collaboration literacy, and provide a replicable practical path for AI literacy education of non-major students in higher education.