Cisco AUTOCOR 350-901: Complete Network Automation Course

Complete prep for the Cisco AUTOCOR 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

Requirements
❗ Basic understanding of networking concepts — you should know what VLANs, OSPF, ACLs, and IP routing are before starting
❗ Familiarity with Cisco IOS or IOS XE CLI — you do not need to be an expert, but you should be comfortable reading and writing basic device configuration
❗ No prior automation or programming experience is required — Python, Ansible, Terraform, and Git are all introduced from the ground up within the course
❗ A computer with internet access is sufficient — all code examples use freely available tools; a Cisco Modeling Labs (CML) instance is helpful for hands-on practice but not required to follow the material
❗ Recommended: CCNA-level knowledge or equivalent practical experience with Cisco networking

Description
This course contains the use of artificial intelligence.

Pass the Cisco AUTOCOR 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
⭐ 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

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