Build operational knowledge for AI infrastructure after the initial environment has entered service. This technical training content concentrates on day-2 operations and troubleshooting, directing attention to recurring work required to support an AI infrastructure deployment and investigate operational issues. Its stated scope is post-deployment operation rather than a broad overview of AI infrastructure. ENTERONE CPLL-DCAIAOT-V1.0 provides version 1.0 training content for teams responsible for the operational stage of an AI infrastructure environment. Use it when engineers need material centered on diagnosing issues and maintaining an established environment. The focused subject matter separates operations and troubleshooting study from architecture planning or initial setup instruction. The content applies to technical staff supporting deployed AI infrastructure who need an operations-focused subject area. Its day-2 emphasis makes it relevant when the priority has shifted from bringing systems online to maintaining their operational state and working through infrastructure problems. The course focus is concise: AI infrastructure operations, post-deployment support and troubleshooting.