AUTOCOR - Designing, Deploying and Managing Network Automation Systems

The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) course prepares you for a professional role as a network automation engineer. It focuses on designing and implementing automation systems, from writing Python scripts and Ansible playbooks, and applying Terraform for network automation, to building complex CI/CD pipelines that integrate multiple tools. The training also shows how to leverage AI for network automation by building Large Language Model (LLM)-powered network agents and by using MCP servers. Additionally, the training focuses on operational aspects of managing a modern, automated network and explores secure coding practices, collecting logs, containerization, and model-driven telemetry. Overall, the training focuses on practical implementation that directly prepares you to design, deploy, and operate automated networks.

This training also prepares you for the 350-901 AUTOCOR exam. If passed, you earn the Cisco Certified Specialist - Automation Core certification and satisfy the core exam requirement for the Cisco Certified Network Professional (CCNP) Automation and Cisco Certified Internetwork Expert (CCIE) Automation certifications.

This training also earns you 32 Continuing Education (CE) credits toward recertification.

• Network Automation Toolkits
• Network Task Automation with Python
• REST APIs in Network Automation
• Network Automation with Ansible
• Network Automation with Terraform
• Infrastructure as Code Implementation
• Network Change Tracking with Git
• Configuration Change Deployment with CI Pipelines
• Cisco Modeling Labs Integration for Test Network Environments
• Network State Validation with pyATS
• Model-Driven Telemetry for Network Monitoring
• Network Automation Solution Troubleshooting
• Secure Coding Practices for Network Automation
• Network Automation Environment Containerization with Docker Compose
• Trusted TLS Certificates Deployment for Secure Communication
• Generative AI for Network Automation
• AI Agents for Network Automation
• LLM and MCP Server Integration

There are no prerequisites for this training. However, the knowledge and skills you are recommended to have before attending this training are:

• Hands-on experience with a programming language (specifically Python)
• Experience with common network designs and configurations
• Understanding of the utilization of APIs
• Awareness of network device APIs such as NETCONF and RESTCONF
• Understanding of the basics of version control with Git
• Familiarity with platforms like GitLab and GitHub
• Comfort with the Linux shell, SSH, files, and virtual environments
• Exposure to Docker/containerization
• Basic knowledge of AI and LLMs

These skills can be found in the following Cisco Learning Offerings:

• Individuals seeking the CCNP Automation certification
• Network Automation Engineers
• Network Engineers with coding experience
• DevOps Engineers working with network infrastructure
• System Engineers
• Network Site Reliability Engineers (SREs)