With the rapid development of artificial intelligence technology, generative AI is being increasingly applied in the field of education. Taking the physics course for pharmacy majors as an example, this study explores the practical application of generative AI technology, especially large language models, in course teaching. The article first outlines the development status of generative AI technology and its advantages in education. Combining the characteristics of physics for pharmacy majors, the article proposes strategies for applying AI tools in the pre-class preparation, in-class teaching, and post-class learning stages. Using ChatGPT and ZhipuQingyan as examples, this paper demonstrates the practical application of AI tools in generating teaching materials, assisting classroom discussion, providing personalized tutoring, and grading assignments, and analyzes their positive impacts. At the same time, the article also points out the challenges such as content accuracy and privacy protection, and puts forward corresponding countermeasures and suggestions. Finally, the article looks forward to the future development trend of generative AI in education, emphasizing its great potential in improving teaching quality and students' learning experience. This study provides theoretical reference and practical guidance for the application of generative AI in smart education.