Curriculum Learning is an educational approach inspired by human learning, where models are trained on tasks in a structured order based on difficulty. Instead of exposing a model to a complete dataset with varying complexities from the start, Curriculum Learning begins with easier examples and gradually introduces more challenging ones. This method has been shown to enhance the performance of neural networks across various applications, including image classification and reinforcement learning. By mimicking the way humans learn, Curriculum Learning aims to improve the efficiency and effectiveness of training deep learning models, leading to better outcomes in complex tasks.