06-03-2026, 09:24 PM
[center]![[Image: c867d4168c13a2ff39798a24746156fc.jpg]](https://i127.fastpic.org/big/2026/0604/fc/c867d4168c13a2ff39798a24746156fc.jpg)
Cisco Autocor 350-901: Complete Network Automation Course
Published 6/2026
Created by Jozef Baros
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 56 Lectures ( 5h 57m ) | Size: 3.9 GB[/center]
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
Homepage
Cisco Autocor 350-901: Complete Network Automation Course
Published 6/2026
Created by Jozef Baros
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 56 Lectures ( 5h 57m ) | Size: 3.9 GB[/center]
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
Homepage
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