Cisco CCNP Automation Core (350-901 AUTOCOR) v2.0

Manual network changes create operational risk: inconsistent device state, slow troubleshooting, and limited auditability. IT Directors can assign this Cisco CCNP Automation Core (350-901 AUTOCOR) v2.0 training to experienced Network Engineers, Automation Engineers, Team Leads, and DevNet Professional candidates who need a common operating model for Python, Ansible, APIs, Git, containers, CI/CD, telemetry, and infrastructure as code.

The course is advanced and spans about 23 hours of training per learner, so it fits best as a structured enablement plan over several weeks rather than a one-off upskilling assignment. For change management, teams should pair the training with internal standards for Git workflows, automation review, secrets handling, and phased rollout of Ansible, Terraform, RESTCONF/NETCONF, and CI/CD practices.

CBT Nuggets Playlists can help Training Managers sequence the curriculum by role, while Team Reporting helps IT leaders monitor progress toward certification readiness and automation adoption goals.

This training helps network teams move from manual device-by-device work toward repeatable, reviewable automation practices across Cisco environments.

• Reduce configuration drift: Teams learn to manage configurations with YAML, Ansible playbooks, Cisco modules, and idempotent automation patterns.
• Improve operational visibility: Training covers streaming telemetry, logging, webhooks, NetBox, and network simulations that support faster validation and troubleshooting.
• Standardize automation delivery: Git repositories, GitLab pipelines, containers, Docker Compose, and CI/CD concepts help teams build safer deployment workflows.
• Strengthen automation security: Encryption, PKI, HTTP techniques, and secure automation practices help reduce risk when scripts and pipelines interact with production infrastructure.

Knowledge

• YAML structure and how Ansible uses playbooks to manage network configurations.
• Python fundamentals relevant to automation, including variables, data types, control logic, functions, lists, and dictionaries.
• Network automation models and protocols, including YANG, NETCONF, RESTCONF, and REST APIs.
• Git, GitLab, containers, Docker Compose, and pipeline concepts used in modern automation workflows.
• Automation architecture topics including Terraform, NetBox, telemetry, logging, webhooks, PKI, and AI basics for network automation.

Ability

• Build Ansible playbooks to automate Cisco device configuration and operational checks.
• Use Python and automation libraries to interact with network systems and structured data.
• Manage NETCONF and RESTCONF-capable devices through model-driven APIs.
• Version-control automation work in Git and support CI/CD workflows with GitLab pipelines.
• Apply secure automation patterns using encryption, PKI, and HTTP techniques while preparing for the Cisco 350-901 AUTOCOR exam.