Curriculum learning is a training strategy where a model receives easy examples first, gradually increasing difficulty, mirroring how humans learn. Just as students master arithmetic before calculus, models trained on simple cases before complex ones often learn faster and generalize better. This approach reduces training time and improves final performance for tasks with naturally ordered difficulty levels.