Overview of Course

Programming for Network Engineers (PRNE) v2.0 is a comprehensive course designed to help network engineers learn programming skills essential for automating network tasks. This course is ideal for network engineers, network administrators, and system administrators looking to upskill and streamline network operations.

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Course Highlights

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Comprehensive coverage of Python programming essentials for network engineers

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Interactive sessions with industry experts

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Access to a community of learners and mentors for support and networking

Key Differentiators

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    Flexible Schedule & Delivery

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


Python programming for network engineers


Automating network tasks using Ansible


Using Git for version control


Setting up continuous integration and continuous deployment using Jenkins


Configuration management using tools such as Puppet and Chef

Training Options

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1-on-1 Training

USD 1350 / INR 110000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • What is network programmability?
  • Why is network programmability important?
  • Network automation and programmability landscape
  • Introduction to network APIs

  • Setting up your development environment
  • Basic network program structure
  • Basic network program workflow
  • Executing network programs

  • Introduction to Python programming language
  • Python syntax and semantics
  • Python variables, data types, and expressions
  • Python modules and libraries

  • Python script structure
  • Comments and documentation
  • Running Python scripts
  • Debugging Python code

  • Reading network device information using APIs
  • Writing network device information using APIs
  • Common network APIs and protocols (e.g. SNMP, NETCONF, RESTCONF)

  • Establishing communication with network devices
  • Handling device connectivity and session management
  • Sending and receiving data to/from network devices
  • Error handling and exception handling

  • Lists, tuples, and sets in Python
  • Dictionaries in Python
  • Working with data structures in Python

  • Comparing network device information
  • Comparing network device configurations
  • Comparing network device states
  • Network device data validation

  • If-else statements in Python
  • Nested if-else statements
  • Boolean expressions and logical operators

  • For loops in Python
  • While loops in Python
  • Loop control statements (break, continue)

  • Defining and using functions in Python
  • Function arguments and return values
  • Anonymous functions (lambda functions)

  • Introduction to object-oriented programming
  • Classes, objects, and instances in Python
  • Encapsulation, inheritance, and polymorphism in Python

  • Defining and using classes in Python
  • Class attributes and instance attributes
  • Class methods and instance methods
  • Constructors and destructors

  • Creating and importing modules in Python
  • Creating and importing packages in Python
  • Managing dependencies in Python

  • Storing data in Python (e.g. lists, dictionaries)
  • File handling in Python
  • Working with different file formats (e.g. CSV, JSON)

  • Introduction to databases and SQL
  • Connecting to databases in Python
  • Executing SQL queries in Python
  • Working with different database management systems (e.g. MySQL, PostgreSQL)

  • Overview of lab exercises
  • Hands-on exercises for network programmability with Python
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Target Audience:

  • Network engineers
  • Network administrators
  • System administrators
  • IT professionals interested in network automation
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  • Basic understanding of networking concepts
  • Familiarity with Linux command-line interface
  • Basic knowledge of Python programming
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Benefits of the course:

  • Learn essential programming skills for network automation and configuration management
  • Streamline network operations and reduce manual tasks
  • Enhance your career prospects with in-demand skills
  • Real-world projects and hands-on labs for practical learning
  • Access to a community of learners and mentors for support and networking
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Exam details to pass the course:

  • The course does not have a formal exam. Learners are assessed through real-world projects and hands-on labs.
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Certification path:

  • To learn this course, there are no specific certifications required.
  • However, learners can take certification exams such as Network Automation Engineer Certification from Python Institute to validate their skills.
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Career options after doing the course:

  • Network Automation Engineer
  • Network Architect
  • DevOps Engineer
  • Cloud Network Engineer
  • Site Reliability Engineer

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Experienced industry experts as instructors
  • Bullet Icon Real-world projects and hands-on labs for practical learning
  • Bullet Icon Access to a community of learners and mentors for support and networking
  • Bullet Icon Lifetime access to course materials and updates
  • Bullet Icon Affordable pricing


Basic knowledge of Python programming is recommended, but the course covers Python essentials for network engineers.

The course duration is 32 hours.

The course does not provide a formal certification. However, learners can take certification exams such as Network Automation Engineer Certification from Python Institute to validate their skills

Basic understanding of networking concepts, familiarity with Linux command-line interface, and basic knowledge of Python programming are recommended.

The course provides access to tools such as Ansible, Git, and Jenkins for hands-on labs and projects. However, learners can choose to use their own setup if they prefer.

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