Learn to deploy and operate multi-agent AI systems in production environments through real-world customer case studies and best-practice frameworks. Discover architectural patterns for robust orchestration of multiple AI agents, explore practical methods for analyzing user-agent interactions to derive actionable performance metrics, and implement security guardrails to protect against prompt injection attacks. Gain insights from Google's Generative AI Global Blackbelt on transitioning multi-agent systems from experimental development to reliable production deployment, focusing on operational challenges and solutions encountered in actual enterprise implementations.