The introduction of AI into priority sectors of the Russian economy opens up unprecedented prospects for engineering education. The growing need for specialists capable of developing, implementing and supporting AI systems requires a rethinking of curricula and teaching methods. Key areas could be in-depth study of machine learning, big data, computer vision and natural language processing, development of specialized software and hardware for AI, integration of AI into traditional engineering disciplines (mechanical engineering, energy, construction), development of skills in working with cloud technologies and data engineering. Educational institutions should closely cooperate with enterprises implementing AI to ensure that curricula meet current market needs. This involves the creation of joint laboratories, internships and dual training programs. An important aspect will be improving the skills of existing engineers through professional retraining and additional education. Successful integration of AI into engineering education will provide Russia with highly qualified personnel necessary for competitiveness in the global market and the accelerated development of an innovative economy. At the same time, attention must be paid to the ethical aspects of AI and the training of specialists capable of developing and implementing technologies responsibly and safely.