Curriculum Learning is an educational strategy inspired by human learning processes, where models are trained on tasks in a structured order based on difficulty. Instead of exposing a model to all examples at once, it begins with simpler tasks and gradually progresses to more complex ones. This approach has been shown to enhance performance in various domains, including image classification and reinforcement learning. By mimicking the way humans learn, Curriculum Learning allows models to build foundational knowledge before tackling challenging problems, ultimately leading to improved accuracy and efficiency in learning outcomes.