Despite the important and growing role of artificial intelligence in various aspects of life, including education, empirical evidence regarding the self-efficacy of artificial intelligence users, especially in Persian-speaking countries, is very scarce, and one of the most important reasons for this is the lack of valid tools to measure this construct. The aim of this cross-sectional study was to validate the Persian version of the Artificial Intelligence User Self-Efficacy Scale among students. The participants were 355 university students who were selected through convenience sampling. The data collection tool was the AI user self-efficacy scale, which consisted of 22 items and four subscales: Assistance, anthropomorphic interaction, comfort with AI, and technological skills. To analyze the data, first- and second-order confirmatory factor analysis, Cronbach's alpha coefficient, and one-sample t-test were used. The findings of this study showed that the factor structure of the Persian version of the AI User Self-Efficacy Scale is similar to the factor structure of the original version of the scale and, of course, has a good fit (CFI: 0.91; RMSEA: 0.066). The results of the reliability study also showed that all subscales had very good reliability (α=0.85-0.89) and the reliability of the entire scale (α=0.90) was also excellent. These findings indicate that this scale can be used in future studies to examine the self-efficacy of artificial intelligence users among Iranian samples.