Course Overview

The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) training 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 prepares you for the 350-901 AUTOCOR v2.0 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

Who Should Attend

The primary audience for this course are Network Automation Engineers and DevOps Engineers

Course Objectives

• Evaluate various network automation tools and approaches
• Use Python for CLI-based network automation
• Integrate REST APIs in network automation workflows
• Automate device configuration using RESTCONF requests based on YANG data models
• Create network automation solutions with Ansible
• Create network automation solutions with Terraform
• Implement the Infrastructure as Code approach for network management
• Use Git to track network changes
• Design and build GitLab CI pipelines for network automation
• Integrate CML topologies in automated workflows
• Create network validation tools with pyATS and include them in automated workflows
• Configure model-driven telemetry streams to collect real-time operational data from Cisco devices
• Diagnose common automation failures using well-structured logs from Python, Ansible, and RESTCONF integrations
• Harden network automation code by validating inputs, protecting credentials, and sanitizing outputs
• Build and run multi-service Docker Compose environments for network automation
• Generate, sign, and install certificates to secure web interfaces and APIs used by network automation tools
• Describe the role, value, and risks of generative AI in network automation script creation
• Create AI agents for network automation
• Integrate LLMs with external capabilities using MCP servers

Course Outline

This is a 5-day class

Please contact Akhil for your custom class price.
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