DevOps Training for Network Engineers

Scale Up your Network Automation Skills with PyNet Labs’ DevOps Training for Network Engineers

DEVOPS for Network Engineers

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Mobile

Country

Overview

DevOps Training for Network Engineers is a customized training program by PyNet Labs to help Network Engineers learn how to automate Network changes by replacing the raw practices.

So, if you want to learn how to automate application deployment, enable automated configuration, enhance management, and improve the scalability of cloud microservices and infrastructure. In that case, PyNet Labs’ DevOps training is best for you.

Our DevOps for Network Engineers training will help you get acquainted with some great tools/technologies used for NetDevOps, such as Git, CI/CD Pipeline, Kubernetes, pyATS, Python Jinja2, Docker Containers, Ansible and Terraform.

The DevOps training course will be entirely hands-on and designed to help Network Engineers master various aspects of software development, operations, continuous integration, continuous delivery, automated build, test, and deployment.

Our training will help you gain the required skill set for getting a DevOps Engineer job and scale up your Network Automation skills.

Upcoming Batches

DATE

TIME

SEATS LEFT

Batch 1
Weekends Batch
(Saturday & Sunday)
26th July to 14th September 2025

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

Sold out

Batch 2
Weekdays Batch
(Monday to Thursday)
13th October to 6th Nov 2025

8 AM to 11 AM Indian Time
10: 30 PM to 1:30 AM Eastern Time
2:30 AM to 5:30 AM UTC/GMT00

Upcoming Batches

DATE

Batch 1
Weekends Batch
(Saturday & Sunday)
26th July to 14th September 2025

TIME

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

SEATS LEFT

Sold out

DATE

Batch 2
Weekdays Batch
(Monday to Thursday)
13th October to 6th Nov 2025

TIME

8 AM to 11 AM Indian Time
10: 30 PM to 1:30 AM Eastern Time
2:30 AM to 5:30 AM UTC/GMT00

SEATS LEFT

Who should take up this course?

The DevOps Training course is for those Network Engineers interested in automation and programmability and who hold job roles such as:

DevOps for Network Engineers Course Highlights

Instructor-led Online (ILO) training by Mr Abhijit Bakale
Training Duration - 40 Hours
Lab workbooks will be provided
A custom course outline will be followed covering some great tools/technologies used for NetDevOps, such as Git, CI/CD Pipeline, Ansible, pyATS, Python Jinja2, Docker Containers, Kubernetes, and Terraform.
UNLIMITED Lab Access for each learner
Lifetime Access to the class recordings
Lifetime Access to a private telegram group for doubts and queries
We make sure LABS are available for practice during the class/right after class
PyNet Labs course completion certificate with a unique certificate ID
Language to be followed for training – English.
Learn real-time network automation during the training.

Prerequisites for DevOps Training

Before taking DevOps for Network Engineers training, you must fulfil the following requirements:

A Computer/PC/Machine with an Internet Connection and 16 GB RAM

Python for Network Engineers (PCNE) proficiency

DevOps for Network Engineers Course Outline

Introduction to DevOps vs NetDevOps

What is DevOps and need for DevOps?
Compare DevOps with NetDevOps
Why NetDevOps is necessary for Network Engineers
Tools to use for NetDevOps
Recap to Standard Network Automation

Python Variables & Data Types

Python Fundamentals
Python Variables, Data Types, Operators
Installing Python Locally
Integrating Python using an Integrated Development Environment (IDE)
Python Conditioning & Looping
Python Libraries Overview: Netmiko, ncclient, requests

Fundamentals of Version Control Systems (VCS)

Architecture of Git
Local Repository vs Remote Repository
Working with Git CLI Installation and Commands
Git, GitHub, GitLab

Comparison of Git (VCS) vs Cloud Hosted VCS Products (GitHub/GitLab)

Creating GitHub / GitLab Accounts
Understanding Repository Types and Privacy
Syncing your IDE with GitHub/GitLab using Git Commands/GUI
Tracking / Recovering Code Changes with Source Control

Working with Ansible

Introduction to Ansible
Comparing Ansible with other Network Automation Suites
Fundamentals of YAML
Need of inventory and variable management in Ansible
Ansible Galaxy and Ansible Tower
Working with Ansible Modules
Fundamentals of CI/CD

Introduction to Terraform Architecture

Fundamentals of Terraform
Introduction to Hashicorp Configuration Language (HCL)
Deploying options for Terraforms
Terraform Data Sources
Terraform Providers
Terraform Modules
Using Terraform to Automate Network Infrastructure

Understanding Continuous Integration Workflow

Understanding Continuous Integration Workflow
Decoding CI/CD Architecture
CI/CD Runners, Pipelines, Jobs
Working with pyATS for your Network Automation Tests

Understanding pyATS Framework

Working with pyATS Genie for Configuration Management
Python Jinja2 Framework

Python Jinja2 Library

Working with Jinja2 Templates & Framework
Introduction to Docker, Containers, and Kubernetes

Docker Containers Overview

Application Hosting Methods
Fundamentals of Containerization & Docker
Docker Hub & Docker Images
Installing Docker and Creating Docker Containers
Networking between Docker Containers
Converting a Python-based application into a Docker Container

DevOps Course Lab Outline

Advanced Python Exercises using Loops, Conditioning, and Libraries
Installing Git and Working with Git Commands for Source Control
Performing GitHub & GitLab Integration with VSCode (IDE)
Push/Pull Local Repository Changes to/from Master Repository
Working with Git Branches, Merges, Issues, etc.
Installing Ansible and Basic Setup of Ansible with YAML
IOS Network Automation using Ansible IOS Modules
Performing Configuration Telemetry & Changes using Ansible
Triggering Automated Configuration Changes upon Git Commits with CI/CD Pipeline

Performing Network Backups, Config Comparisons, Auditing using pyATS Framework
Building Jinja2 Templates for Medium to Large Scale Network
Deployments
Installing Docker Setup and Integrating with IDE
Running a Container from Docker Hub
Networking between Docker Images
Deploying Docker Containers
Installing Terraform and Performing Telemetry using Terraform Templates
Building Terraform .tf files and writing configuration on IOS devices

Feel Free To Contact For Your Queries

Enquire Now

DEVOPS for Network Engineers

Name

Mobile

Country

Meet Your Trainer

Abhijit Bakale

(CTO & CO-Founder at PyNet Labs)
DevNet Expert #20230021 (Top 25 DevNet Experts in the World), CCSI #35944

Meet Mr Abhijit, a seasoned Cisco professional with over 11+ years of experience in delivering corporate/public training on Cisco Enterprise, Service Provider, DevNet, and Automation-focused domains. He is certified globally in multiple domains and has been actively involved in spreading knowledge on designing, implementing, and troubleshooting, and automation Cisco solutions for various clients. He has an in-depth understanding of Cisco technologies and a passion for sharing his knowledge with others.

Throughout his career, Mr. Abhijit has delivered training to thousands of professionals from various industries and backgrounds. He is known for his ability to explain complex concepts in a clear and concise manner, and for his ability to create hands-on, interactive learning experiences that help students understand and retain the material.

With Mr. Abhijit as your instructor, you can be confident that you are receiving expert training from a seasoned professional who has the certification, knowledge and experience to help you succeed in your DevNet Expert certification journey.

His Certifications:

Certified Cisco Systems Instructor #35944

Certified DevNet Expert #20230021 ( Top 25 DevNet Expert in the world)

Implementing and Operating Cisco Service Provider Network Core Technologies (SPCOR 350-501)

Implementing Cisco Service Provider Advanced Routing Solutions (SPRI 300-510)

Developing Applications using Cisco Core Platforms and APIs (DEVCOR 350-901)

Cisco DevNet Associate - Developer Certification (DEVASC 200-901)

Cisco Implementing and Operating Cisco Enterprise Network Core (ENCOR 350- 410)

Cisco Implementing Automation for Cisco Enterprise Solutions (ENAUTO 300-435)

Implementing Cisco SD-WAN Solution for Enterprise Neworks (ENSDWI 300-415)

Juniper Automation and DevOps Associate (JNCIA-DevOps JN0-221)

Cisco Certified Network Associate (CCNA 200-301)

Versa Certified SD-WAN Associate (VNX100)

Juniper Cloud Associate (JNCIA-Cloud JN0-211)

F5 – LTM Certified

What Our Students Say About Us

Prashant Kharat

Sr. Enterprise Engineer

It was wonderful experience to attend Versa SDWAN training with Pynet. Tons of theory & concepts got cleared and more significantly hands on lab access for 24/7 throughout the training tenure. Also, they extended access to lab for a week....

Shamaldas O.V

Network Engineer

I recently attended the Nexus + DC ACI Training course at Pynet Labs, and I must say it was an enriching experience.The instructors at Pynet Labs Mr Sunder were highly….

Vinu Viswanatha Pillai

Network Engineer

Great place to start your coding/automation journey: If you are an infrastructure engineer, I would recommend this institute and their courses to begin your automation journey.

Arijit Shaw

Network Engineer

First of all, I would like to say that I was very far from these IT, networking stuffs..I had no prior idea about what are these things virtually going on around us.. I have completed....

Snekha

Network Engineer

Very much impressed with the sohel sir's way of teaching and his patience to clear each every doubts asked during session.. It's very comfortable to clear doubts and his teaching was....

Pramod Sonawane

Network Engineer

I have done many course in India as well as abroad but the PyNet Labs deserves to be rated high, not only because of the experience I had with PyNet is incredible. In-depth knowledge trainer....

Viral Vira

Media.Net.

This review is for CCNA DevNet Training I enrolled with PyNet Labs. The topic & details covered in the entire course was really up to the mark. Mr. Chirag (for Automation) was knowledgeable & helpful….

Liyas Ap

L3Harris Technologies

I am really thankful and grateful for PyNet Labs. I joined DevNet Training with PyNet Labs. Trainers are good and they explain nicely. They also provide placement assistance. I am really so happy….

Sunil Handa

HCL Technologies

Attended a CCNA DevNet training session conducted by PyNet Labs. This training session was amazing and covered each topic required to enhance the knowledge required for DevNet Exam with….

Aripaka Kiran

Synophic Systems Pvt. Ltd.

PyNet labs is the best place to learn new technologies. For better reach in technologies as well as to be feasible in our career growth I recommend PyNet labs. Special thanks….

Rakesh Choudhary

Orange Business Services

I have completed my SDWAN course from PyNet Labs and it was really a great journey, it helped me lot to learn about overlay network. I cleared multiple interviews….

Chetan Wayangankar

NetApp

Just completed my CCNA DevNet course. Thanks To the PyNet Labs team. Got all my doubts cleared and a lot more knowledge from scratch basic networking Switching Routing, TCP/IP, routing….

Chola Kabaso

Livingstone, Southern, Zambia

PyNet introduced me to labs. They are consistent, precise and straight on point. If you haven’t tried them, you have missed a lot. Mr Abhijit, Deepanshu, Nitish and the rest of the team, continue…

Dev Chouhan

Ananda livemore

I would like to thanks the complete team of PyNet Labs (Mr. Deepanshu, Mr. Nitish & Mr. Abhijit). It was a great & useful learning on SD-WAN. The trainer Mr. Abhijit Bakale was incredibly….

Bharat

Wipro

Hi All, I attended online SD-WAN Training from PyNet Labs and this is awesome. Even a person without having SD-WAN knowledge can easily Implement SD-WAN solution after this training….

Tarun Choudhary

HCL

The trainer and the management at PyNet labs are awesome….. You get assistance even after your batch is over…. You can reach out to them for your doubts any time. Highly recommended!

Ashutosh

British Telecom

I am very happy with the CCNA DevNet training I received from PyNet Lab. We were given good knowledge and training in network automation principles. My heartfelt thanks to PyNet Team

Anuj Jain

TCS

Abhijit unleash all the concepts to get Devnet associate exam. I am glad that I took this course from PyNet. Looking to connect to PyNet soon for Cisco DEVCOR.

Aarti

Spectra

Completed my CCNA training and got placement at Spectra. It’s a wonderful place to start your Career in the Networking domain as the trainers are good and they explain nicely….

Ruchik Kumar

Orange Business Services

I took SD-WAN training from PyNet and I would really like to thank PyNet & Abhijit (Trainer). Abhijit is very knowledgeable and he is very supportive. I would also recommend others for this training.

Frequently Asked Questions

Q1. What is DevOps training for network engineers?

DevOps training for network engineers is a specialized course designed to help network professionals learn about DevOps practices and tools. It aims to bridge the gap between networking and development by teaching automation, collaboration, and infrastructure as code.

Q2. Who should take this training?

This training is ideal for network engineers, administrators, and IT professionals who want to gain skills in DevOps to streamline network management, automate tasks, and improve collaboration between network and development teams.

Q3. Are there any prerequisites for this training?

While there are no strict prerequisites, having a basic understanding of networking concepts and some familiarity with Linux operating systems can be helpful for participants in this training.

Q4. What topics are covered in this training?

This training covers a wide range of topics, including DevOps principles, automation tools, continuous integration and continuous deployment (CI/CD), containerization, and infrastructure as code (IaC).

Q5. How long does it take to complete the DevOps training for network engineers?

The duration of the training may vary depending on the course structure and individual learning pace. On average, it can take 4 to 6 weeks to complete.