Abstract: To explore the application of artificial intelligence (AI) in immunology teaching and achieve the goals of optimizing instructional methods and improving teaching effectiveness,this study constructs a teaching platform for animal immunology centered on four core modules:personalized student learning,intelligent interactive tutoring,virtual simulation experiments and training,and data analysis integration.Practice results demonstrate that,after the implementation of the reform,students show significant improvements in overall engagement in learning activities,knowledge comprehension,and final examination performance.