Breast cancer is one of the most widespread and prevalent types of cancer with the highest mortality rate in women. It is a disorder that leads to the unconditional growth of malignant cells in the breast of the patient. Early diagnosis of breast cancer not only extends impactful treatment but also prevents the chances of death of the patient. However, early prediction of malignant cells in breast cancer is not an easy task with regular and frequent examination. AI has provided predictive algorithms based on machine learning and deep learning which can classify malignant cells from healthy cells with good accuracy. These algorithms detect cancerous cells at an early stage and hence, enhance the chances of the patient’s survival. This chapter compares the features, limitations, and efficiency of various AI-based techniques as machine learning and deep learning predictive algorithms for predicting breast cancer in women.