Build knowledge of automating data center network provisioning and operations through APIs, Ansible, and Python. ENTERONE CPLL-DCNAUTO-V2.0 carries the version 2.0 designation for this data center automation training course. Its stated scope centers on programmatic network work rather than manual, device-by-device configuration, giving network personnel focused coverage of automation methods used in data center environments. API-based automation provides a structured interface for reading network state and making configuration changes through software. Ansible supports task-based automation across network infrastructure, while Python can be used to work with APIs and build automation logic. Together, these subjects address the core technologies commonly associated with automated provisioning and operational workflows. Provisioning concerns the configuration and activation of network services, interfaces, policies, and connectivity. Operations concerns the continuing work of observing, changing, and maintaining those environments. This course brings both areas into the same data center automation scope, making it relevant when an engineering team needs instruction that spans initial network changes and ongoing automated operations. The version 2.0 designation distinguishes the specified course release.