The aim of this research, is to use the descriptive correlative approach because of its suitability to the nature of the objectives of this study. A scale was built to measure the skills of using artificial intelligence applications in education which is consisting of (50) items on a five-point scale (excellent, very good, good, average, acceptable). The sample of research was consisted of (200) male and female students from the computer departments in the faculty of education and faculty of science in the universities of the Middle Euphrates in Iraq. The study tools were applied in the first semester of the academic year (2021-2022). A number of statistical methods were used, including the t-test, the equation of the coefficient of excellence for paragraphs, chi-square, Pearson's correlation coefficient, the Alpha-Cronbach equation, the Alpha -Cronbach, Kuder–Richardson-20 equation, and the Spearman-Brown equation. It appears that T value for students is (3.59) which is higher than its tabular value (1.65) with a significance level (0.05) and a degree of freedom (199). This indicates that there is a statistically significant difference between the average performance of students of computer departments (science and education). Also according to the gender variable, it appears there is no statistically significant differences between the average performance of males and females on the scale skills of using artificial intelligence applications.