PyNet Labs- Network Automation Specialists

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

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DEVOPS for Network Engineers

DevOps Training Details

Training type
Instructor-led Online Training
Industry Expert Trainer | Unlimited Lab Access | PDF & Lab Workbooks
Batch Type
Weekends / Weekdays ( 2-3 Hours in a day )
8 Weeks or 15 Weekends
PyNet Labs Training Completion Certificate
Demo Class


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, Ansible, pyATS, Python Jinja2, Docker Containers, Kubernetes, 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.

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

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:

👉Network Administrator
👉Network Engineer
👉Network Manager
👉Systems Engineer
👉Technical Solutions Architect
👉Wireless Design Engineer
👉Wireless Engineer
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Flexible Batches
Study Material
3/ 4 / 6 / 8 hours sessions
Life-time Access to Recordings

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DEVOPS for Network Engineers

Upcoming Batch details




Batch 1
Weekends Batch
(Saturday and Sunday)
25th February to 28th May 2023
DevOps Training for Network Engineers
9 AM to 12 PM Indian Time
10: 30 PM to 1: 30 AM Eastern Time
3: 30 AM to 6: 30 AM UTC/GMT00

DevOps for Network Engineers Course Training Highlights

  • Instructor-led Online (ILO) training by Mr Abhijit Bakale
  • Training Duration - 60 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 in training - English.
  • Language to be followed for Jokes and fun in between - English.

DevOps Course Outline with PyNet Labs

Introduction to DevOps vs NetDevOps

  • What is DevOps and need of 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 Conditioning & Looping
  • Python Libraries Overview: Netmiko, ncclient, requests

Introduction to Version Control System (VCS)

  • 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 & Variable Management in Ansible
  • Ansible Galaxy & Ansible Tower
  • Working with Ansible Modules

Fundamentals of CI/CD

  • 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
  • Virtual Machines vs Docker
  • Docker Hub & Docker Images
  • Networking between Docker Containers

Performing Configuration Telemetry and Changes with Terraform

  • Introduction to Terraform Architecture
  • Deployment options for Terraform
  • Terraform Data Sources
  • Terraform Templates
  • Terraform Modules

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
  • Building CI/CD Pipeline using GitLab
  • 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 Infrastructure 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
+91- 98212 15002

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DEVOPS for Network Engineers

Meet Your Trainer

Trainer @PyNet Labs

Abhijit Bakale

(CTO & CO-Founder at PyNet Labs)
Abhijit has delivered 12000+ hours of training internationally in past 10 years.

Abhijit has delivered trainings and consulted for various SD-WAN, ACI, Nexus projects for companies like HCL, Cognizant, PepsiCo, Colt, Cisco. Abhijit has been very actively working on technologies like OSPF, EIGRP, BGP, MPLS, Nexus, DevNet, ACI and many more.

Abhijit has also consulted on various SDN solutions for Indian defence clients as well. His student base ranges from Global Offshore Clients, Defense Institutions, International Government Organizations, Top Private Universities, Air Traffic controllers, Networking Professionals working in core production and Engineering students from around the globe.
His Certifications:
Cisco Implementing and Operating Cisco Enterprise Network Core ENCOR 350- 410
Developing Applications using Cisco Core Platforms and APIs DEVCOR 350-901
Cisco ENSDWI - SD-WAN - 300-415
Cisco Implementing Automation for Cisco Enterprise Solutions (ENAUI) ENAUTO 300-435
Cisco DevNet Associate - Developer Certification DEVASC 200-901
Juniper Automation and DevOps, Associate (JNCIA-DevOps) JN0-221
Juniper Cloud Associate (JNCIA-Cloud) JN0-211
Cisco Certified Network Associate CCNA 200-301

Students Review

  • "Excellent tutor and teaching method. Highly recommend."
    Olukayode Oni
    SpectraNet Limited
  • "Class was really interactive and content was good . Overall a really good experience All topics are nicely explained."
    Charmi Garg
    Bharti Airtel
  • 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 to Abhijit and Deepanshu who are there to guide us and help us in each and every part.
    Aripaka Kiran
    Synophic Systems Pvt. Ltd.
  • 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 after completion of SDWAN course as its in demand and future of networking.
    Rakesh Choudhary
    Orange Business Services
  • It was great learning for me. Abhijit is very helpful & skillful trainer.
    Pryank Negi
  • 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.
    Ruchik Kumar
    Orange Business Services
  • 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, Deepansha, Nitish and the rest of the team, continue with that excellent work you are doing. You are the best among the best.
    Chola Kabaso
    Livingstone, Southern, Zambia
  • 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 knowledgeable & supportive. There way of teaching was very effective. I would definitely recommend this my co-workers as well as my friends.
    Dev Chouhan
    Ananda livemore
  • 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. Labs are very effective and it is step by step procedure with clear explanation. We will be working on SDWAN in real time, but some concepts may not clear. But here u will come to know very basic and this is added value for Network engineer. Thank you, complete team!!!
  • 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!
    Tarun Choudhary
  • I will enroll again. I am completely confident configuring SDWAN fabrics. Nice lab environment and experiences.
    Almazan, Philippines
  • 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.
    Anuj Jain
  • Awesome trainer with up to date content. This really helped me to kick start my automation journey. Python baba ki jai.
    Vaibhav Mullick
    Software One
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