Early detection of heart diseases is a crucial factor for successful healthcare. In recent years, the medical field has witnessed the emergence of various methods to predict heart diseases before they occur, based on machine learning and deep learning. Heart diseases remain a major cause of death worldwide, particularly coronary artery disease, which is one of the most dangerous diseases. It accounts for a significant portion of patient cases and deaths related to cardiovascular diseases, as this disease is latent and does not clinically manifest. Therefore, it is necessary to diagnose and treat it as early as possible. The objective of this work is to develop a predictive model for coronary artery disease capable of detecting its early onset, often fatal. Our research project aims to predict coronary artery disease using deep learning techniques. We utilized a convolutional neural network to achieve this objective. It is believed that this will contribute to improving early diagnostic rates and reducing complications associated with this disease.