Python for Network Engineers with Expert Online Training

Welcome to our Python for network engineer course. It specially designed for Network Engineers who want to learn Python and develop automation skills using the Python programming language to manage networks and devices. This training focuses on automating tasks on routers and switches with Python.

With a solid foundation in networking combined with Python training, you can efficiently automate networking tasks. Employers increasingly seek candidates who bring both theoretical knowledge and practical experience.

Thanks to our virtual lab technology, you can access our labs anytime, from anywhere—giving you the hands-on experience you need.

Thank you for choosing LINT. We look forward to helping you enhance your skills, advance your career, and succeed in the dynamic world of Network Automation and Programmability.

Python for network engineers

Why Choose LINT for Python for Network Engineers Training?

  • Build automation skills with hands-on virtual labs tailored for real-world networking tasks and scripts.
  • Learn from industry experts who specialize in network automation, scripting, and infrastructure as code.
  • Master both foundational Python and advanced libraries like Netmiko, NAPALM, and Paramiko.
  • Prepare for interviews with role-specific training and mock interviews focused on network automation roles.
  • Study on your terms with our flexible, self-paced online course designed for working professionals.
  • Receive 100% placement support and career guidance to help you transition into DevNet, NetDevOps, or automation-focused roles.

Pre-Requisites for Python Training for Network Engineers

Networking Fundamentals Experience with Networking Devices
Basic Knowledge of Network Automation Tools

Python Training Modules and Topics

Python Basics for Networking:
Syntax, variables, data types, loops, and functions File handling and parsing (JSON, CSV, XML)

Network Automation with Python:
Automating network tasks (configuration, device monitoring) Libraries: Netmiko, Paramiko, Napalm

Network Device Interaction:
SSH, Telnet connections APIs (REST, NETCONF, RESTCONF) for device management

Parsing and Working with Data:
Regular expressions (regex) for log and output parsing JSON and XML data manipulation

Network Protocols and Scripting:
Python scripts for TCP/IP, DNS, DHCP, SNMP Packet capturing and analysis with Scapy

Ideal Candidates for Python for Network Engineers :

Professionals who want to leverage Python to streamline network operations and improve efficiency. Here’s a profile of the ideal candidates for Python for Network Engineers.

Network Engineers : Professionals responsible for designing, configuring, and managing networks who want to automate tasks.

Net-Ops Engineers : Individuals who manage daily network operations and are interested in improving efficiency through scripting.

IT Consultants : Consultants who need to provide automation solutions for clients’ network environments.

Unlock New Opportunities with a Recognized Certification

Protocol Testing : Network protocol testing using Python provides the chance to work on cutting-edge technologies and ensure robust and reliable network operations.

Network Efficiency : Learn to streamline network operations, reducing manual effort and improving accuracy.

Enhanced Skills : With the right skills and experience, professionals can enjoy a rewarding and evolving career path in this field in network engineering roles.

Career Advancement : Improve job prospects and career opportunities by learning automation and scripting.

Unlock New Opportunities with a Recognized Certification

What is Python for Network Engineers, and who can study it?

Python for Network Engineers focuses on using Python programming to automate and manage network tasks. Network engineers, IT professionals, and those looking to enhance their automation skills can study it.

Certification costs vary by provider, but typically range from $100 to $300 USD for courses or exams.

To pass, you should study Python programming fundamentals, network automation concepts, and practice by working on real network automation tasks and projects.

On average, it takes 1 to 3 months to study, depending on your prior programming knowledge and commitment.

While it’s helpful to have basic knowledge of networking, you don’t need prior programming experience. Python is beginner-friendly, and courses typically teach from the ground up.

The passing score typically ranges from 70% to 80%, depending on the exam provider.

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