Cisco CCNP Automating and Programming Cisco Enterprise Solutions (ENAUTO 300-435) v2.0

Manual network changes do not scale well across Cisco enterprise environments, especially when teams support multiple controllers, APIs, and device families. IT Directors can assign this intermediate ENAUTO 300-435 v2.0 training to network engineers, automation-focused IT Practitioners, and CCNP Enterprise candidates who need a practical path from Python and Git fundamentals into Cisco enterprise automation workflows.

The course is about 18 hours per learner, making it realistic for a sprint-based enablement plan or phased rollout. Team Leads should expect some change management: standardize Git usage, pilot automation against low-risk tasks, and align templates, APIs, and telemetry with existing change-control practices. While this is not a compliance course, the skills support more repeatable configuration work and better operational consistency.

CBT Nuggets Playlists can sequence this course by role or project priority, and Team Reporting helps Training Managers track learner progress toward the ENAUTO automation skill set.

IT teams complete this training to move from manual Cisco network administration toward repeatable automation practices across enterprise environments. The course connects foundational scripting and version control with Cisco-focused automation methods, controllers, telemetry, and AI-assisted operations.

• Reduce manual configuration effort by introducing Python, Netmiko, configuration templates, and Ansible for repeatable network tasks.
• Improve change consistency by teaching Git basics, data modeling, structured data formats, and model-driven approaches such as NETCONF and RESTCONF.
• Support controller-based operations with coverage of Cisco Catalyst Center, Cisco Meraki, Cisco SD-WAN, and Ansible-based controller automation.
• Strengthen operational visibility through security and monitoring APIs, webhooks, image management concepts, model-driven telemetry, and AI for network management.

Knowledge

• Python basics used in network automation workflows.
• Git concepts for tracking changes and supporting team collaboration.
• Data modeling concepts, including structured data and model-driven network management.
• Modern automation protocols, including NETCONF and RESTCONF.
• Cisco controller domains covered in the course: Catalyst Center, Meraki, and SD-WAN.
• Network operations concepts involving APIs, webhooks, image management, telemetry, and AI.

Ability

• Automate Cisco network tasks with Python-oriented tools such as Netmiko.
• Use Git fundamentals to manage automation scripts and configuration-related changes.
• Build configuration templates for more repeatable network deployments.
• Apply Ansible concepts to manage networks and automate controllers.
• Work with NETCONF and RESTCONF as part of model-driven automation.
• Interpret how telemetry and AI-assisted network management can fit into enterprise operations.