With the rapid development of artificial intelligence technology, large language models have become a key force in promoting the transformation of many industries. This study aims to explore the application of large language model in power industry training, especially how it can be used as an intelligent coaching tool to optimize training process and improve learning results. The research first reviews the current traditional methods of power industry training, and introduces the basic principles of the large language model and its application potential in the field of education. By designing and conducting a comparison experiment involving traditional and intelligent tutoring methods, this study assesses the effectiveness of large language models in improving learning efficiency and knowledge mastery. The experimental results show that the intelligent tutoring method is superior to the traditional method in knowledge transfer efficiency, skill mastery, and application effect. The optimization strategy based on the large language model is proposed and the feasibility of its implementation is analyzed. Finally, the application prospect of large language model in electric power industry training is summarized, and the future research direction is discussed. The hope provides a new perspective for the power industry training field and demonstrates the application potential of AI technology in professional training.