Abstract: The current research aimed to identify the effectiveness of a program based on artificial intelligence applications in learning to reduce stereotypical behavior among autistic children, and the research was used (The experimental method was designed as a single total with tribal, dimensional, and tracking measurements, and the number of the exploratory research sample numbered (30) and basic and numbered (9) of autistic children and their ages ranged from 4 to 7 years at Al-Wafaa Foundation for the Development and Care of People with Special Needs, and Al-Nour Center for Communication and approved exercises. (A set of tools, including the illustrated behavioral disorders scale for autistic children (stereotyped behavior, hyperactivity, self-harm) (prepared by the researcher), and a program based on the applications of artificial intelligence in learning to reduce some behavioral disorders in autistic children (prepared by the researcher), the Stanford scale (The fifth picture (Arabization and codification of Safwat Farag, 2011) and the measurement of the diagnosis of infantile autism, codification and Arabization (Zidane Al-Sartawi, Tariq Al-Shamry 2010) and two (The results revealed that there were significant (CARS2) statistical differences between the averages of the two measurements, before and after, in reducing some behavioral disorders (stereotyped behavior, hyperactivity, and self-harm behavior among autistic children in favor of the post measurement. (Also, there are no statistically significant differences between the mean of the post and follow-up measurements in reducing some behavioral disorders (stereotyped behavior, hyperactivity and self-harm behavior among autistic children.