AI + Python Netmiko/NAPALM

Master the art of using AI assistants like ChatGPT and Claude to write Python network automation scripts with Netmiko and NAPALM. Learn to generate device configurations, automate troubleshooting, parse logs, and build production-ready network tools.

Start Course → Config Generation
6
Lessons
35+
Examples
~2hr
Total Time
🐍
Python

What You'll Learn

Combine the power of AI with Python's best network libraries for intelligent automation.

🐍

AI Script Generation

Use LLMs to generate Netmiko and NAPALM scripts for device connectivity, configuration, and data collection.

🔎

Automated Troubleshooting

Build AI-powered troubleshooting scripts that collect data, analyze output, and diagnose network issues.

📊

Log Analysis

Parse and analyze network logs using AI to detect patterns, anomalies, and predict potential failures.

⚙

Config Generation

Generate device configurations from templates using AI-enhanced Jinja2 rendering and validation.

Course Lessons

Follow the lessons in order or jump to any topic you need.

Beginner

1. Introduction

Overview of Netmiko, NAPALM, and how AI assistants transform the way network engineers write Python scripts.

10 min read →
 Intermediate

2. AI Config Generation

Use AI to generate device configurations, Jinja2 templates, and NAPALM-compatible config snippets for multi-vendor networks.

20 min read →
 Intermediate

3. Automated Troubleshooting

Build Python scripts that collect diagnostic data via Netmiko and use AI to analyze results and suggest fixes.

20 min read →
 Intermediate

4. Log Analysis

Parse syslog, show command output, and SNMP data with AI to detect anomalies, correlate events, and generate reports.

15 min read →
 Advanced

5. Script Generation

Advanced techniques for using AI to generate complete automation scripts: bulk operations, parallel execution, and error handling.

20 min read →
 Intermediate

6. Best Practices

Production guidelines for AI-assisted Python network scripting: testing, security, code review, and team adoption strategies.

15 min read →

Prerequisites

What you need before starting this course.

Before You Begin:
  • Basic Python programming knowledge (functions, loops, modules)
  • Familiarity with network concepts (SSH, CLI, show commands)
  • Python 3.8+ installed with pip
  • Access to an AI assistant (ChatGPT, Claude, or similar)