Curriculum learning is a training strategy in machine learning where models are fed data in a meaningful order, starting from easier examples and gradually increasing in complexity. This approach mimics human learning processes and can lead to faster convergence and improved performance by helping models build a solid foundation before tackling more challenging tasks.