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

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DEVOPS for Network Engineers

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DevOps Training Details

Training type

Instructor-led Online Training

Facilities

Industry Expert Trainer | Unlimited Lab Access | PDF & Lab Workbooks

Batch Type

Weekends / Weekdays ( 2-3 Hours in a day )

Duration

8 Weeks or 15 Weekends

Certificates

PyNet Labs Training Completion Certificate

Demo Class

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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, 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

Download Course Content

Flexible Batches

Study Material

3/ 4 / 6 / 8 hours sessions

Fly-me-a-trainer

Life-time Access to Recordings

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DEVOPS for Network Engineers

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Upcoming Batch details

Batch

Details

Time

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

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Meet Your Trainer

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

CenturyLink
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!!!

Bharat

Wipro
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

HCL
I will enroll again. I am completely confident configuring SDWAN fabrics. Nice lab environment and experiences.

Simon

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

TCS
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