Certified Python Network Administrator and Engineer (CPNAE) Course Overview

Certified Python Network Administrator and Engineer (CPNAE) Course Overview

The Certified Python Network Administrator and Engineer (CPNAE) course offers a comprehensive foundation in Python programming tailored for network management and automation. Participants will learn to design, implement, and troubleshoot network infrastructures using Python. Key learning objectives include mastering network protocols, automating network tasks, and leveraging Python libraries for efficient data handling and analysis.

Through practical hands-on exercises, students will gain the skills needed to reduce operational costs and enhance network performance. By the end of the course, learners will be equipped to apply Python tools in real-world network scenarios, ultimately becoming proficient in managing modern network technologies. Join us to advance your career in network engineering with essential Python skills!

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1,450

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1,450 (USD)
  • Live Training (Duration : 32 Hours)
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  • Live Training (Duration : 32 Hours)
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  • Classroom Training fee on request

♱ Excluding VAT/GST

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

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Course Prerequisites

Prerequisites for the Certified Python Network Administrator and Engineer (CPNAE) Course


To successfully undertake the Certified Python Network Administrator and Engineer (CPNAE) course, we recommend that students have the following minimum prerequisites:


  • Basic understanding of networking concepts, including familiarity with TCP/IP, routing, and switching.
  • Fundamental knowledge of Python programming, including the ability to write and understand basic Python scripts.
  • Familiarity with Linux or other command-line interfaces, as the course involves working with these environments.
  • A general understanding of network security principles will be beneficial but is not mandatory.

These prerequisites ensure that learners have a solid foundation to build upon as they dive deeper into network automation and Python programming within the context of network administration. We look forward to helping you on your journey to becoming a Certified Python Network Administrator and Engineer!


Target Audience for Certified Python Network Administrator and Engineer (CPNAE)

The Certified Python Network Administrator and Engineer (CPNAE) course equips professionals with essential Python skills for network management, automation, and system administration, targeting individuals in IT infrastructure.


  • Network Administrators
  • Network Engineers
  • System Administrators
  • DevOps Engineers
  • Cybersecurity Professionals
  • Cloud Solutions Architects
  • IT Support Specialists
  • Data Center Managers
  • IT Managers
  • Technical Project Managers
  • Graduates pursuing IT careers
  • Technology Enthusiasts looking to upskill
  • Compliance and Risk Management Professionals
  • Software Developers focusing on networking applications


Learning Objectives - What you will Learn in this Certified Python Network Administrator and Engineer (CPNAE)?

Introduction:
The Certified Python Network Administrator and Engineer (CPNAE) course equips learners with essential skills in Python programming, networking concepts, and automation techniques, enabling them to efficiently manage and optimize network infrastructures.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Python programming in a networking context.
  • Develop automation scripts for network tasks using Python.
  • Implement network protocols and services relevant to Python networking.
  • Gain proficiency in using Python libraries for network management.
  • Troubleshoot network issues with Python-based tools.
  • Enhance network security through Python scripting practices.
  • Utilize APIs for network device management and data retrieval.
  • Implement configuration management using Python frameworks.
  • Explore data visualization techniques for network performance monitoring.
  • Prepare for real-world network engineering scenarios and challenges.

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