This paper introduces an AI-based Automatic Ground Collision Avoidance System (AGCAS) for advanced jet trainers. It utilizes a customized Soft Actor-Critic (SAC) algorithm, integrated with a custom Convolutional Neural Network (CNN) and hyperparameter optimization, to enhance safety and operational capabilities by effectively avoiding ground collisions within limited observation spaces.