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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.

Intermediate

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1,700

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Course Fee 1,700
Total Fees
1,700 (USD)
  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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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.

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