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

Manual CLI changes don't scale. Each hand-typed configuration adds change risk, slows rollouts, and makes it harder to show what changed and when. This course helps IT Directors and Team Leads move network teams from one-off CLI work to repeatable, version-controlled automation across Cisco enterprise platforms.

Role fit: Best for network engineers and IT Practitioners with working Cisco experience who are pursuing CCNP Enterprise or CCNP Automation. Python and Git are taught from the basics, so engineers don't need a developer background.

Time investment: About 18 hours across 21 skills of roughly 45–60 minutes each. That pace suits a few sessions per week alongside operational duties.

Risk and change management: Your team practices Git commits and history so automation changes stay traceable. The course also covers NETCONF, RESTCONF, Ansible, and controller APIs for Catalyst Center and SD-WAN. The AI skills cover responsible use: verifying output against hallucinations, keeping sensitive data out of public LLMs, and limiting AI tools to read-only show commands until configuration access is deliberately allowed.

How CBT Nuggets supports it: Skills include validation exercises and instructor demos that give engineers a way to check their work before touching production devices.

Network teams that still push changes one device at a time carry more risk of configuration drift, slow rollouts, and avoidable outages. This course gives IT teams a practical path from manual CLI work to code-driven operations across Cisco IOS XE devices and controllers.

Scenarios drawn directly from the course:

• Run commands across the fleet from one place. Your team uses the Catalyst Center API and its command runner to send show commands such as show version and show ip interface brief to managed Catalyst 9000 switches through the controller. They no longer need to log into each device.
• Standardize automation work with version control. Engineers track automation work in Git with staging, commits, and commit logs. Changes become repeatable and auditable instead of ad hoc.
• Automate monitoring with Cisco APIs. Practitioners connect to Cisco sandboxes, enable APIs where needed, and write Python scripts that use the requests library to query Cisco platforms such as SD-WAN Manager for real-time monitoring information.
• Adopt AI tools with guardrails. Teams build an MCP-based AI integration limited to show commands, use RAG to give AI tools context from your own data, and run local LLMs where appropriate. The course stresses that AI output must be verified because of hallucination risk, and that sensitive data must never go into public LLMs.

For IT Directors, the result is a team that can automate safely with RESTCONF, Python, and controller APIs. Each skill ends with validation challenges to confirm hands-on readiness before your team applies it in production.

Knowledge

• How Python fundamentals such as variables and conditions, along with Git version control (staging, committing, logs, branches), underpin repeatable network automation
• How YANG data models are structured, including open standard versus vendor-specific models, and how to read them with pyang
• Which NETCONF RPCs retrieve configuration-only data, retrieve operational plus configuration data, or update device configuration, and how REST CRUD operations map to HTTP methods
• How controller-based networking differs from traditional management across data, control, and management planes, including the SD-Access underlay, overlay, and fabric
• Where Cisco Catalyst Center fits in an enterprise automation strategy, alongside controller APIs, webhooks, image management, and model-driven telemetry
• How AI-assisted workflows can query network devices, identify tool limitations, and support network operations, plus the risks of hallucination and of disclosing sensitive data to public LLMs

Ability

• Initialize Git repositories and track automation code changes with commits and commit history
• Enable NETCONF on Cisco IOS XE devices and automate them with Netmiko, NETCONF, RESTCONF, and configuration templates
• Write Ansible playbooks using Cisco IOS collection modules, such as ios_command, to run show commands and manage devices and controllers
• Build EEM applets triggered by CLI patterns such as write memory, and run Python scripts inside Guest Shell
• Authenticate to the Catalyst Center API with a token, work with site endpoints, and use Command Runner to send show commands to managed switches
• Build an AI-assisted network tool that queries devices, uses scoped permissions, and keeps human verification in the workflow