The rapid rise of large language models is transforming education across disciplines, and computer networking is no exception. Faculty are grappling with questions about how these tools impact learning, assessment, and equity. How do we guide students toward responsible use? What policies and practices will ensure fairness and foster deep understanding in an era of AI-assisted learning? This interactive panel brings together leading educators to explore how LLMs are reshaping networking education today and what the future might hold. Through a fireside-style discussion, we will examine practical strategies, institutional responses, and long-term implications for teaching and learning in networking.