Weather prediction is important in many areas such as urban planning, transport, agriculture and disaster management. The development of AI techniques using large data sets and advanced computer techniques has improved the accuracy and efficiency of the forecast model. This article provides observation of weather forecasting techniques founded on artificial intelligence methods, including hybrids, deep learning, and machine learning. This emphasizes that the AI-Manual models perform better than traditional statistical and numerical models when it comes to the accuracy of the prophecy as well as the calculation time. The challenges of integrating AI into the weather forecast are also addressed in the study, such as data quality problems, model interpretation and calculation needs.