With the deepening application of artificial intelligence (AI) in education, its role is shifting from mere assistance to more comprehensive integration. This study focuses on the practical application of the DeepSeek intelligent platform in Computer Network, exploring its transformative effects on knowledge delivery and teacher-student interaction. It analyzes the issues in traditional teaching methods, such as the excessive abstraction of network protocol instruction, outdated experimental design, and monotonous evaluation approaches. To address these challenges, the study proposes leveraging intelligent technology to achieve flexible teaching and diversified assessment. The findings indicate that through a blended online-offline learning environment and personalized learning path planning, intelligent integration can enhance students' ability to analyze network protocols and cultivate engineering practice thinking. However, caution is advised against over-reliance on technology, which may inhibit students' independent exploratory spirit. This research provides theoretical insights for the intelligent transformation of engineering courses while proposing a principle of dynamic balance between "technological adaptability" and "educational autonomy".