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Designing, Deploying and Managing Network Automation Systems

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1 Day
CSC-ELT-AUTOCOR
Self-Paced Training
Cisco Training

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Course Description

Overview

The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) Learning Path 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 Learning Path 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 Learning Path focuses on operational aspects of managing a modern, automated network and explores secure coding practices, collecting logs, containerization, and model-driven telemetry. Overall, the Learning Path focuses on practical implementation that directly prepares you to design, deploy, and operate automated networks.

This Learning Path 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.

Skills You'll Learn
  • Implement useful tools such as Python, Ansible, and Terraform for network automation
  • Manage Network as Code and set up advanced CI pipelines using tools such as GitLab CI, CML, and PyATS
  • Manage the operational aspects of modern, fully automated networks
  • Use AI to push automation solutions even further

Objectives

After the end of this session, learner will be able to:
  • Network Automation: Build a strong foundation in automating network devices through hands-on courses that progress from CLI scripting to REST APIs, RESTCONF, and advanced tools like Ansible and Terraform.
  • Infrastructure as Code: Adopt the Network as Code approach by progressing from basic automation with Python, Ansible, and Terraform to advanced practices like state tracking with Git, CI pipeline deployment, CML test environments, and automated testing with pyATS.
  • Operations and Security in Automated Networks: Enhance operational network automation by configuring model-driven telemetry, collecting logs, applying secure coding, containerizing solutions, and deploying trusted TLS certificates.
  • AI for Network Automation: Leverage artificial intelligence and large language models to enhance network automation by generating code, deploying private conversational agents, integrating with MCP servers for live data collection, and applying these tools to real-world automation tasks.

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Self-Paced Training Info

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Self-Paced Training Terms & Conditions

ONCE YOU ARE ENROLLED IN THIS COURSE YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.

This is a Cisco Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available.

  • Students will receive an access code within 1-3 business days.
  • If purchasing a self-paced course for multiple students, the purchaser will receive the access codes and must distribute them individually to the students.
  • Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.

Q: How long do I have access to the course and the Labs within the course?
A: Labs are available for the length of your course subscription.
Q: Can I reset the course and start over?
A: No.
Q: Is there a time limit for the Trial (Demo)?
A: There is no expiration on registration to the trial versions. Access is capped not in time, but by the fact that only a select number of sections are unlocked within the content.'

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