Network failure is the unintentional interruption of internet services, resulting in significant economic loss for businesses. Internet Service Providers (ISPs) lose millions of dollars annually due to network failure. The ISP industry lacks a suitable network failure prevention system (failure prediction tool) that can effectively offer a preventive solution. We developed an extensive network failure dataset covering many possible failure scenarios and trained our AI models. Our developed Machine Learning and Deep Learning models show promising results in predicting network failure with high accuracy. The optimal outcome demonstrated 99% accuracy, 98% precision, 96% recall, and 97% F1 score.