Python for Network Automation: From SSH to AI Workflows
Master network automation by learning to write Python scripts for device configuration, API management, and modern AI-driven workflows.
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このコースについて
Modern network engineering is shifting away from manual CLI entries toward programmable, automated environments. This transition requires a solid foundation in programming tailored specifically to the needs of network infrastructure.
You will transform from a traditional engineer into a network automation specialist capable of managing complex environments through code. By the end of this course, you will be able to write scripts that handle device configurations, parse data efficiently, and leverage modern automation frameworks to scale your operations.
What you'll learn:
- Understand Python fundamentals and core syntax applied to networking scenarios
- Automate device interactions using industry-standard libraries like Netmiko, Paramiko, and Nornir
- Manage structured data and configuration files using Pydantic, JSON, and YAML
- Implement modern environment management with UV and asynchronous programming for parallel execution
- Interact with network APIs using RESTCONF and NETCONF protocols
- Apply emerging AI patterns such as the Model Context Protocol (MCP) for intelligent network operations
- Practice configuration parsing and validation techniques to ensure network reliability
The course begins with essential terminology and environment setup before progressing through device communication, multi-threading, and advanced AI-integrated automation strategies. You will move from simple script execution to building sophisticated workflows for multi-vendor environments.
This course is designed for network engineers and IT professionals with little to no prior coding experience who want to modernize their skill set. No prerequisites are required.
Start your journey into programmable networking today.
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⚡短く要点だけ 2時間30分の実践的な内容
レビュー (12)
يوسف بن عبد العزيز
SA
★ 3 · 25.07.2026
It's a decent introduction. Could benefit from more diverse examples and a slightly better flow between modules.