Currently, achieving the "dual carbon" goal is an urgent issue in today’s social development. The field of water supply and drainage engineering faces both challenges and opportunities in this context. AI technology has become an important auxiliary tool for achieving energy conservation, emission reduction, and the advancement of smart water systems. This paper examines the challenges of "dual carbon" in water supply and drainage engineering and discusses the need for integrating AI education. It highlights issues in the current education system, such as limited computer knowledge, a lack of AI courses, and insufficient practical experience. To address these problems, the paper suggests reforms like optimizing the curriculum, enhancing practical teaching, and providing diverse learning opportunities. Through measures such as refining course content, innovating teaching methodologies, enhancing practical training and university–industry collaboration, establishing incentive mechanisms, and developing cloud-based platforms, this study offers actionable guidance for cultivating multidisciplinary professionals equipped with both traditional domain expertise and AI application capabilities.