A branch of artificial intelligence (AI) called deep learning has become a game-changer in the field of education. Deep learning improves educational outcomes, streamlines administrative work, and enables personalized learning experiences by utilizing sophisticated algorithms and neural networks. But there are drawbacks to integrating it into education as well, such as potential biases, high computational costs, and data privacy issues. This essay uses current academic research to provide a thorough analysis of the benefits and drawbacks of deep learning in education.