Learn how to operate production multi-agent solutions with comprehensive visibility, systematic quality assurance, cost control, and robust incident response. Learners advance from single-application monitoring and evaluation experiments to distributed multi-agent observability, LLM-as-judge evaluation for coordination quality, multi-agent cost optimization, enterprise human-in-the-loop approval workflows, and structured AI incident debugging procedures. AI-500