CCNP Automation Online Training
Cisco Professional Certification | 3-5 Years Experience
The new Cisco CCNP Automation certification signals a definitive shift toward AI-driven networking. Replacing the DevNet Professional certification, this certification equips you with the high-demand skills needed to manage, scale, and secure modern infrastructure through intelligent automation.
CCNP Automation & DevNet Professional Exam Training:
CCNP Automation: What You Need to Know
The CCNP Automation certification valitates the following skills:
Python Programming for building modular scripts and libraries to automate complex Cisco network tasks
Git and NetDevOps for managing network configurations as code with professional version control
API Management for programmatically controlling infrastructure using NETCONF and RESTCONF
YANG Data Modeling for mastering structured data standards by utilizing JSON and XML
Infrastructure as Code for deploying scalable network fabrics using Ansible for configuration and Terraform for orchestration
Cisco Platforms for automating Catalyst Center, SD-WAN, and Meraki via centralized controller-led APIs
Modern Telemetry for implementing Model-Driven Telemetry to monitor real-time health
CI/CD and AI for building automated deployment pipelines and using AI-assisted coding
Who Should Take CCNP Automation Training?
Network Admins, Ops Leads, NOC Engineers
This training is ideal for professionals looking to transition from manual CLI management to scalable, code-driven workflows. You will learn to eliminate repetitive tasks by mastering Python and Ansible, allowing you to manage large-scale deployments with fewer errors. Gaining these skills ensures you remain indispensable as enterprise networks shift toward software-defined architectures and automated troubleshooting.
Senior Engineers, Cloud Architects, Aspiring Managers
For senior leadership, this course provides the strategic technical foundation needed to oversee complex CI/CD pipelines and hybrid cloud integrations. You will gain a deep understanding of how to align network infrastructure with business goals through Infrastructure as Code and AI-assisted automation. This expertise is critical for architects designing resilient, self-healing networks that can support the rapid pace of modern digital transformation.