Exploring Teaching Models for “Cybersecurity Technology” Courses Based on AIGC

This study aims at the traditional “Cybersecurity Technique” course teaching. In view of the shortcomings of lagging knowledge update, insufficient practical resources and lack of individuation. Propose an innovative teaching model based on Artificial Intelligence Generated Content (AIGC). Combining the three core tools of DeepSeek, AiPPT and Docker, the trinity framework of “dynamic generation, virtual-real combination, and personalized adaptation” was built. The results show that AIGC technology can effectively improve the quality of teaching, improve the learning experience of students, and bridge the gap between school education and industry needs. It provides new ideas and methods for further training high-quality network security talents.