This paper focuses on the problems of art education professional training in colleges and universities under the background of “Internet+”, realizes the innovation and practice of art education professional training mode in colleges and universities based on the “Internet+” art education platform, and at the same time combines the K-means algorithm and genetic algorithm to construct the teaching data analysis model of the art education platform. Innovating and Practicing Talent Cultivation Modes for Art Education Specialties in Colleges and Universities Through the Internet. Based on the art education professional talent cultivation platform in colleges and universities, 10 research factors are identified through the self-assessment scale of mental health symptoms, and the psychological regulation based on the “Internet +” art education platform is analyzed. The results show that the t-indexes of emotional exhaustion (7.019), depersonalization (4.761), and low sense of achievement (5.001) are all positive and valid data in the regression equation data analysis of the three dimensions of the psychological problems of art education majors and the research factors, indicating that the art education platform based on the “Internet +” can effectively It shows that the art education platform based on “Internet+” can effectively correct the mental health problems of the art education professional training mode. According to the current situation of art education professional training in colleges and universities under the background of “Internet +”, this study puts forward the innovation and practice strategy of art education professional training mode, which provides a theoretical and practical reference basis for art education professional training in colleges and universities.