Ansible for Network Engineers
Ansible for Network Engineers is a comprehensive, hands-on course that teaches you how to automate network infrastructure using Ansible and Infrastructure as Code (IaC) principles. You’ll progress from Ansible fundamentals to advanced multi-vendor automation, Jinja2 templating, NETCONF/RESTCONF APIs, Git-based configuration management, dynamic inventories, and enterprise-grade automation workflows used in modern network operations.
ON Demand Instant
$199
- FREE Python Fundamentals course included
- J3-month hands-on lab environment
- J42 lessons across 6 modules
- Downloadable code scripts & templates
- Lifetime access to all materials
- Office hours + Slack support
- Certificate of completion
Why Choose Networkstacks?
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Python For Network Engineers:
Design and build scalable network automation solutions using Ansible and Infrastructure as Code (IaC) principles.
Write, understand, troubleshoot, and optimize Ansible playbooks, roles, and automation workflows.
Automate multi-vendor network environments across Cisco IOS, IOS-XR, NX-OS, and Juniper Junos.
Leverage CLI and API-based automation using SSH, NETCONF, RESTCONF, and YANG.
Build production-ready automation pipelines with Jinja2 templating, Git, dynamic inventories, and secure credential management.
Implement idempotent, desired-state network automation to reliably deploy, validate, back up, and restore network configurations.
Trusted by Top Brands
AI FOR ALL STAGES
Who is Networkstacks for?
MASTER THE FUNDAMENTALS AND BEYOND IN AN ACTION-PACKED, INSIGHTFUL LEARNING EXPERIENCE
Learn 16 hours of pure AI content
Generative AI Fundamentals & 20+ Gen AI Tools
Onboarding into the Generative AI Mastermind
Foundations of Generative AI
Gen AI Tools Stack & Large Language Model Exploration
Creating a web-based application without writing a single line of code
AI for Image & Video Creation
Hands On Project
Prompting & building realistic images
Prompting & building realistic images
Converting images to videos using AI
Generative AI Fundamentals & 20+ Gen AI Tools
Onboarding into the Generative AI Mastermind
Foundations of Generative AI
Gen AI Tools Stack & Large Language Model Exploration
Creating a web-based application without writing a single line of code
AI for Image & Video Creation
Hands On Project
Prompting & building realistic images
Prompting & building realistic images
Converting images to videos using AI
Ansible for Network Engineers – Prerequisites
- Basic Python knowledge (variables, loops, functions, files, etc.) or completion of the Python for Network Engineers course.
- Working knowledge of networking fundamentals and experience configuring network devices via the CLI.
- Basic understanding of Linux command-line operations (navigation, file management, running commands) is beneficial but not mandatory.
- A Windows, macOS, or Linux computer capable of installing Ansible and the required software.
- If you want to run your own lab a minimum of 16GB RAM and Emulation Software (GNS3/EVE-NG/Containerlab) setup would be required.
Ansible Introduction and History.
• What is Ansible?
• Benefits of Managing Devices with Ansible over Manually.
• High Level Ansible Components.
• Ansible vs Other Similar Software.
• Ansible Important versions and update.
Ansible Installation
Exploring Ansible in CLI Mode.
• PING Module
• File Module
Various Ansible Project Files
• The Ansible Configuration File
• The Ansible Inventory File (INI and YAML)
• Host Groups and Group of Groups
• The concept of Specificity
A Refresher: Working with YAML Files
• Different options in YAML and how Python interacts with YAML Files
Ansible Components
• Overall Components
• Playbooks (In-Depth Structuring)
• Installing Collections and requirements.yaml
Ansible Directory Structures
Network Automation with Ansible – The Basics
• Setting up the Inventory File
• Setting Up the Config File
• Setting Up the Group Level Variables File
• Some important Ad-Hoc commands
• Creating our First Playbook
• Fact Gathering: Multi-Facets and Modifying Playbooks accordingly
• Playbook: Exploring ios_facts module.
• Playbook: Using Gathered Facts to run tasks conditionally.
• Playbook: Archive/Save command or Ansible Outputs to file.
Network Automation with Ansible – Core Concepts
• Basic Cisco IOS Config Management
• Saving Configs: The save_when Flag
• The concept of Idempotency
• Checking out the check mode and verbose output
• set_fact module, lookup plugin and built-in filters
• Ansible debugger tool to debug playbooks.
• Device Configs with Resource Modules
• Using host variables(host_vars) to create configs
• Module level options to shorten playbooks.
A Refresher: Jinja2 Templating
• Different Options Available in Jinja Templates and how Python interacts with Jinja2 Files
· Some other popular Network OSes’
• Some more concepts(Ansible Vault etc.) and 3 N-OSes’ covered
• Juniper Junos (juniper.device collection)
• IOS-XR (cisco.iosxr collection)
• NXOS (cisco.nxos collection)
Infrastructure as Code – The Basics using Ansible Roles.
• Understanding the Ansible Roles Philosophy
• Ansible Roles: Directory Structure
• Network Topology Explanation and Requirements for Deploying Ansible Roles
• Ansible Roles Execution Flow.
• Testing Roles, Playbooks and Plays with Tags.
API Based Automation – NETCONF and RESTCONF
• A Refresher: API
• A Refresher: NETCONF
• A Refresher: YANG
• Setting up the Ansible Environment for NETCONF Interaction with the device
• ‘get-config’ operation
• ‘edit-config’ operation to apply VRF configs
• ‘save-config’ operation
• A Refresher: RESTCONF
• Applying and Saving VRF config using RESTCONF by restructuring the host_vars file.
Infrastructure as Code – Putting it to the Test
Understanding the problem with the previous solution
• Steps to solve the problem
• Understanding Set Theory, Python Sets and Applying it to our scenario
• Using Custom Filters in Ansible.
• Using TextFSM templates to extract the required info from CLI outputs.
• Using extracted info to create new configs.
• Bringing device configs completely in-sync with the desired state.
Infrastructure as Code – Adding Git to the Mix
- Setting up Git and Git Project Repository.
- Understanding the complete use-case and Workflow.
- Backup(local + Git) and “True” Restore of device state.
- Building the use case and all its components end to end.
- Working with Dynamic Inventories using Nautobot.
- Credential Management using Hashi Corp Vault.
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| Before | After |
|---|---|
| Feeling overwhelmed by the fast-paced growth of AI and unsure where to even begin. | Hands-on Mastery of cutting-edge AI tools like ChatGPT, MidJourney, and Make.com, making you stand out in your industry. |
| Spending countless hours watching random tutorials but still feeling like you don't "get it." | Automated Workflows that save you hours every week, allowing you to focus on high-value work. |
| Struggling to automate repetitive tasks and wasting valuable time on manual work. | Confidence to Lead: Know exactly how to implement AI in your business or career to maximize productivity and creativity. |
| Missing out on opportunities to integrate AI into your workflows because you lack the confidence or hands-on experience. | Custom AI Systems: Build GPTs and bots that think and respond like you, revolutionizing the way you work. |
| Watching others thrive with AI tools while you're stuck on the sidelines. | No-Code Automation Skills: Seamlessly connect apps and AI tools to create systems that work for you—even while you're offline. |
Got Any Questions?
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