A master's thesis at the College of Education for Pure Sciences, Department of Computer Science, University of Basra, explored an intelligent system for classifying brain tumors based on deep learning techniques. The thesis, presented by researcher Istabraq Haider Jassim, proposed and implemented an effective automated system for classifying brain tumors in patients based on medical records. This system utilizes hybrid deep learning models and data preprocessing techniques, which contribute to improving model performance, increasing interpretability, and reducing execution time. The thesis also aims to adopt the ensemble learning approach by integrating multiple pre-trained models within a single framework, with the goal of obtaining a more accurate and reliable classification model. This approach combines the advantages of individual models to achieve the best possible performance in brain tumor classification.