Cisco AUTOCOR 350-901: Complete Network Automation Course

Cisco AUTOCOR 350-901: Complete Network Automation Course | Udemy [Update 06/2026]
English | Size:
Genre: eLearning

Complete prep for the Cisco AUTOCOR v2.0 350-901 exam — Ansible, Terraform, RESTCONF, Python, Git, CI/CD, pyATS, and AI

What you’ll learn:
Build network automation solutions using Ansible, Terraform, RESTCONF, and Python to manage VLANs, OSPF, ACLs, and interface configurations on Cisco devi
Consume REST APIs at scale — implement token authentication, OAuth 2.0 flows, pagination, rate limiting with exponential backoff, and error handling in Python
Design and operate GitLab CE CI/CD pipelines with build, prevalidation, deploy, and post-validation stages, and diagnose pipeline failures
Apply Infrastructure as Code practices using Git version control, Cisco Modeling Labs for safe testing, Docker Compose for reproducible tooling, Netbox
Harden automation solutions with secure coding practices — input validation, least-privilege authentication, secret management, and CA-signed TLS certificates
Build an MCP server with Python FastMCP to expose network data to AI agents and construct a conversational LLM-based agent for network automation tasks
Select the right automation approach for any technical or business requirement — IaC frameworks (Ansible/Terraform), low-code/no-code platforms, or Python apps

This course contains the use of artificial intelligence.

Pass the Cisco AUTOCOR v2.0 350-901 exam and earn your CCNP or CCIE Automation certification with this complete, structured preparation course.

This course covers all four exam domains — Network Automation, Infrastructure as Code, Operations, and AI in Automation — aligned to the official Cisco blueprint for Designing, Deploying and Managing Network Automation Systems v2.0. Every section follows a consistent rhythm: a clear explanation, real runnable code examples, a written article summary, and a quiz with ten Cisco-style questions and fully explained answers.

WHAT YOU WILL LEARN

• Build network automation solutions with Ansible, Terraform, RESTCONF (RFC 8040), and Python — managing VLANs, OSPF, ACLs, interface settings, and asset inventory

• Consume REST APIs at scale — handle authentication workflows (API key, Basic, token, OAuth 2.0), pagination, rate limiting, and error handling

• Select the right automation approach for any technical or business requirement — IaC frameworks, low-code/no-code platforms, or custom Python applications

• Use Git for version control — merge, squash, cherry-pick, reset, revert, and resolve conflicts

• Build and diagnose GitLab CE CI/CD pipelines with build, prevalidation, deploy, and post-validation stages

• Test automation safely using Cisco Modeling Labs (CML) and run tooling reproducibly with Docker Compose

• Integrate a source of truth (NetBox/Nautobot) and construct correct YAML/JSON from YANG data models

• Implement model-driven telemetry, syslog and webhook logging, and diagnose automation failures from logs

• Validate network changes with pyATS CLI tools before and after deployment

• Obtain and deploy CA-signed TLS certificates and implement secure coding practices — input validation, least-privilege authentication, and secret management

• Build an MCP server with Python FastMCP to expose network data to AI agents

• Construct a conversational agent using LLMs for network automation tasks

• Evaluate the accuracy and security risks of AI-assisted code development

WHO THIS COURSE IS FOR

This course is designed for network engineers who already understand networking fundamentals and want to move into automation. Whether you are preparing for the AUTOCOR 350-901 exam, working toward CCNP Enterprise or CCIE Automation, or simply building automation skills to apply on the job, this course gives you both the exam knowledge and the practical understanding behind it.

No prior automation experience is required — but familiarity with Cisco IOS, basic networking concepts (VLANs, OSPF, ACLs), and comfort reading command-line output will help you get the most from the material.

WHAT IS INCLUDED

• Video lessons covering every blueprint topic

• Written article summaries for each section — optimized for Udemy’s article format

• 220 Cisco-style multiple-choice practice questions with fully explained answers — 10 per section across all 22 topics

• Coverage of all four domains: 30% Network Automation, 30% Infrastructure as Code, 20% Operations, 20% AI in Automation

The two ideas that run through the entire course are declarative vs. imperative automation and idempotency. Understand those, and the reasoning behind every exam question becomes clear.

Who this course is for:
Network engineers preparing for the Cisco AUTOCOR 350-901 exam and the CCNP or CCIE Automation certification
Network engineers who want to move beyond manual CLI configuration and learn automation tools used in real production environments
Engineers already working with Cisco IOS XE, ACI, Meraki, Catalyst Center, or SD-WAN who want to automate their day-to-day tasks
CCNA-level or CCNP-level professionals looking to upskill into network automation, Infrastructure as Code, and CI/CD pipelines
Anyone who wants hands-on experience with Ansible, Terraform, Python, Git, and GitLab pipelines in a network automation context
Engineers curious about how AI and LLMs are being applied to network automation — including building MCP servers and conversational agents with FastMCP