DevOps Certification Course | Online Classroom Training

Learn DevOps Tools - GIT, Jenkins, Puppet, Chef, Ansible, SaltStack, Splunk, Maven, Docker, Kubernetes, Selenium, Nagios from Industry Experts.

337 Ratings       9,025 learners at CloudxLab

  40+ hours of Instructor-led Training

  90 days of Lab

  24x7 Support

About the Specialization

DevOps is becoming a highly sort after skill in the market, especially, in this Automation era.

DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.

There is massive growth in the DevOps space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.

In this specialization, you will learn DevOps activities and tools, like - GIT, Jenkins, Maven, Ansible, Docker, Kubernetes, Selenium, Puppet, Nagios, etc.

Instructor led Training

It allows learners and instructors to interact and discuss the training material in a group setting.

Projects & Lab

Apply the skills you learn on a distributed cluster to solve real-world problems.


Highlight your new skills on your resume or LinkedIn.

Best-in-class Support

24×7 support and forum access to answer all your queries throughout your learning journey.

Instructor-led Trainings

14 Mar
Sun, Sat
(10 weeks)
10:30 a.m. - 12:30 p.m. America/New_York

90 days lab
799 1,200
Enroll Now

30 seats left

Learning Path

Course Syllabus

1.1 Introduction to DevOps

1.2 10,000 foot view

1.3 Why DevOps ?

1.4 Dev-Test-Deploy

1.5 DevOps Principles

1.6 DevOps Toolchain

1.7 Overview of DevOps Tools

1.8 Co-relation between Agile and DevOps

1.9 Categories of DevOps Tools

1.10 Summary

1.11 Quiz

2.1 Objective

2.2 What is SCM

2.3 Git branching and merging

2.4 Git Overview

2.5 Creating pull request

2.6 Code Review

2.7 Merging changes

2.8 Lab: Create a repo and push code on GibHub / Bitbucket

2.9 Advanced topic

2.10 Quiz

3.1 Objective

3.1 Container Concept

3.1 Container Vs Virtual Machine

3.1 Installing docker on Centos , Debian and Windows

3.1 Managing Container with Docker Commands

3.1 Docker Compose

3.1 Docker registry - Docker Hub

3.1 Networking inside single docker container

3.1 Networking acroos container and platform

3.1 Lab: 1. Running a container Image with Docker

3.1 2. Building own docker image

4.1 Objective

4.2 Oveview of Kubernetes, Docker Swarm and Consul

4.3 Kubernetes - Architecture and functional component

4.4 Installing Kubernetes on VM

4.5 Configure Pods and Containers

4.6 Kubernetes - Cluster Administator Tasks

4.7 Kubernetes - App Developer Tasks

4.8 Running application on kubernetes cluster

4.9 Scaling app in cluster using rolling update

4.10 Services, Load Balancing, and Networking

4.11 Security and Configuration

4.12 Running Automated Tasks with a CronJob

4.13 Stateful set to manage apps

4.14 Managing and using storage in pod and cluster level

4.15 Continous deployment of app from git repository

4.16 Horizontal Pod Autoscaler

5.1 Objective

5.2 Configuration Management Tools in DevOps

5.3 Ansible fundamental

5.4 Ansible installation and version

5.5 Single command execution using ansibe

5.6 Roles and ansible galaxy

5.7 Playbook and jinja2 template

5.8 Debugging and Troubleshooting

5.9 Quiz

6.1 Objectve

6.2 Infra as a Code

6.3 Terraform Initialisation

6.4 Terraform provider , variable , resource group

6.5 Creating VM in AWS using terraform code

6.6 Creating and using Terraform Module

6.7 Version control of Terraform Code

7.1 Objectve

7.2 Jenkins Installation

7.3 Run Jenkins Job

7.4 Jenkins Job to copy build on deployment VM

7.5 Jenkins job to deploy on Docker container

7.6 Jenkins job to deploy on Kubernetes

8.1 Objectve

8.2 Introduction to Continuous Monitoring

8.3 Introduction to Graffana

8.4 Installing Graffana

8.5 Adding customised dashboard in Graffana

9.1 Objectve

9.2 Introduction to AWS

9.3 Devops using AWS service

9.4 Kubernetes on AWS

9.5 Docker on AWS

9.6 Various AWS services - EC2 , S3, VPC , Subnet , IAM



Lots of Hands-on Exercises



Earn your certificate

Our Specialization is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in DevOps domain.

Differentiate yourself

The knowledge you have gained from Hands-on exercises, quizzes, hands-on assessments and case studies gives you a competitive edge.

Share your achievement

Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.

 Course Certificate Sample
Course Instructor
 Ashok Singh

Ashok Singh

DevOps Consultant, Cisco Systems
Alumni IIT-Roorkee
DevOps professional with extensive 17 year experience in Cloud architecting, Microservice design and implementation.

He is an expert in DevOps toolchains like Ansible, Chef or puppet for config management or Jenkins, TeamCity or octopus for CI-CD.

He had driven Digital transformation for organizations transforming legacy application to cloud-native, microservices-based architecture, containerisation of microservice and orchestration of service in a cluster like Kubernetes or docker swarm.

Working with Industry giants like Redhat, Cisco and AWS have also given him an edge for industry best practices, cloud and container security in public and private and hybrid cloud environments.
Course Creators
Ashok Singh

Ashok Singh

Devops Consultant,
Cisco Systems
Course Advisor
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Course Advisor
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Advisor


(4.9 out of 5)

I have started learning 3 months ago and I really gained much info and practical experience. I completed the “Big Data with Spark” course and the learning journey really exceeded my expectations.

The course structure and topics were great, well organized and comprehensive, even the basics of Linux were covered in a very simple way. There were always exercises and hands-on that build better understanding, also the lab environment and provided online tools were great help and let you practice everything without having to install anything on your PC except the web browser.

In addition, for the live sessions, it was really a joy attending them each weekend, our instructor “Sandeep Giri”, besides his great experience and knowledge, he was generous, helpful and patient answering all attendees questions in such a way that he could go for more examples and hands-on or even searching the documentation and try new things, I gained much from other attendees’ questions and the way Sandeep responded to them.

This was a great experience having this course and I’m going for more courses in Big Data and Machine Learning with CloudxLab and I recommend it for all my friends and colleagues who look for better learning.


Must have for practicing and perfecting hadoop. To setup in PC you need to have a very high end configuration and setup will be pseudo node setup.. For better understanding I recomend CloudxLab


This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.


They are great. They take care of all the Big Data technologies (Hadoop, Spark, Hive, etc.) so you do not have to worry about installing and running them correclty on your pc. Plus, they have a fantastic customer support. Even when I have had problems debugging my own programs, they have answered me with the correct solution in a few hours, and all of this for a more than reasonable price. I personally recommend it to everyone :)


Machine learning courses in especially the Artificial Intelligence for the manager course is excellent in CloudxLab. I have attended some of the course and able to understand as Sandeep Giri sir has taught AI course from scratch and related to our data to day life…

He even takes free sessions to helps students and provides career guidance.

His courses are worthy and even just by watching YouTube video anyone can easily crack the AI interview.


Lectures will be conducted on Saturday and Sundays from 8 PM- 10 PM IST.

Yes, every learner can directly ask their questions and discuss his/her query during any of the class lectures.

Yes, It is an online instructor-led course. After making the payment, you will get enrolled in this course. We will send you a classroom link before two days of first-lecture through email.

Have more questions? Please contact us at