Python Programming for Network Engineering Course Overview

Python Programming for Network Engineering Course Overview

The Python Programming for Network Engineering course is a comprehensive program designed to equip network engineers with the skills necessary to leverage Python for automating and enhancing network operations. By integrating Python programming into network tasks, learners can streamline processes, rapidly configure devices, and effectively manage data structures.

Starting with the basics in Module 1, students will gain a solid foundation in Python syntax and commands. As the course progresses, they delve into more complex topics such as Python data structures in Module 2, utilizing Python Operators in Module 3, and file manipulation in Module 4. Modules 5 and 6 focus on controlling program flow and defining functions.

Python Libraries, Packages, and Modules in Module 7 introduce indispensable tools for network tasks, while understanding and using Integrated Development Environments in Module 8 enhance coding efficiency. Module 9 tackles code analysis and error handling.

The course transitions to practical application with a GNS3 Lab Setup in Module 10, followed by hands-on device configuration using CLI and remote access in Modules 11 and 12. Module 13 explores the Netmiko Library, and Module 14 covers data structuring languages like JSON, XML, YML, which are essential for modern network configurations.

Learners will also become familiar with Cisco-supported APIs and automation protocols in Module 15, RESTCONF and NETCONF APIs in Modules 16 and 17, and Cisco Nexus NX-OS APIs in Module 18. Module 19 dives into the YANG data model, and finally, Module 20 provides extensive labs to practice and reinforce the acquired skills.

This course is ideal for network professionals looking to harness the power of Python for network automation, ensuring they stay updated with the evolving landscape of network technology.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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Course Prerequisites

To ensure that students can successfully undertake and benefit from the Python Programming for Network Engineering course, the following minimum prerequisites are recommended:


  • Basic understanding of computer networking concepts, including knowledge of network devices (routers, switches) and their functions.
  • Familiarity with networking protocols (e.g., TCP/IP) and common networking terminology.
  • Prior exposure to command-line interfaces (CLI), such as Cisco IOS, as the course involves interacting with network devices via CLI.
  • Basic knowledge of programming concepts is helpful but not mandatory. This may include understanding variables, data types, and control structures (if/else, loops).
  • No prior experience with Python is strictly required, but having some exposure to any programming or scripting language will be beneficial.
  • Willingness to learn and adapt to new tools and technologies, as the course includes a variety of practical labs and exercises.

These prerequisites are designed to ensure that all participants can keep pace with the course content and fully engage in the hands-on practical elements of the training.


Target Audience for Python Programming for Network Engineering

The "Python Programming for Network Engineering" course is designed for IT professionals seeking to integrate Python into network operations and configurations.


  • Network Engineers
  • Network Architects
  • System Administrators
  • DevOps Engineers
  • Security Engineers
  • Technical Support Specialists
  • Software Developers with a focus on network automation
  • IT Professionals looking to upskill in network automation
  • Students pursuing a career in network engineering or IT infrastructure
  • Professionals working on Cisco network environments
  • Anyone interested in understanding network device automation using Python


Learning Objectives - What you will Learn in this Python Programming for Network Engineering?

Introduction to Course Learning Outcomes:

This Python Programming for Network Engineering course is designed to equip network professionals with essential Python skills to automate network configurations, analyze data, and enhance their workflow efficiency.

Learning Objectives and Outcomes:

  • Understand the basics of Python programming and write foundational scripts to automate tasks.
  • Manipulate Python data structures to store and process network data effectively.
  • Utilize Python operators to perform logical and arithmetic operations within networking scripts.
  • Read from and write to files using Python, enabling the handling of configuration files and data storage.
  • Implement Python loops and conditional code to create versatile and responsive network automation scripts.
  • Develop and deploy Python functions to modularize and simplify complex network automation tasks.
  • Integrate Python libraries, packages, and modules to extend the functionality of network programs.
  • Utilize Integrated Development Environments (IDEs) for efficient coding, debugging, and version control.
  • Apply error handling and code analysis techniques to create robust Python applications for network management.
  • Configure and manage network devices using automation protocols and APIs such as Netmiko, RESTCONF, NETCONF, and NX-OS APIs.

These objectives are crafted to ensure that by the end of the course, participants are proficient in using Python for a wide range of network engineering tasks, from basic scripting to advanced device configuration and management.