Join this hands-on lab to explore how multi-agent AI can transform network operations. Participants will build a local multi-agent system where specialized micro-agents collaborate to analyze network data, detect anomalies, and recommend remediation steps. Using a local LLM, this lab emphasizes safe execution, domain-specific tooling, and real-time decision-making in a controlled environment. This lab highlights the principles of multi-agent collaboration and practical AI integration for network automation. Attendees will gain experience designing agents that interact with each other, query network information, and produce actionable insights while maintaining security and operational integrity. Aligned with the new CCNP Automation certification, this session provides networking professionals with hands-on experience in next-generation AI-driven workflows. Attendees leave equipped to apply multi-agent AI concepts to real-world network operations, improving efficiency and reliability while preparing for advanced automation credentials.