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DevOps Certification Training

Learn DevOps Tools - Linux, Git, Docker, Kubernetes, Ansible, Terraform, Jenkins and Graffana from Industry Experts.

40+ Hours of Training

Industry Experts

90-days Lab

24x7 Support

Certification

Course Description

This DevOps certification training is delivered by an industry experts with 17+ years of experience. This certification course will cover various DevOps tools such as GIT, Jenkins, Ansible, Docker, Kubernetes. This virtual classroom training is completely hands-on and helps you become a certified professional to handle the real time DevOps projects in any enterprise.

This Instructor led DevOps training will cover all the stages of software development lifecycle including continuous development, testing, configuration management, integration and monitoring.



Industry Experts (17+ years of EXP)

Learn the latest tools, technologies and approches directly from professionals.

Best-in-class Support

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

Projects & Lab

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

Certificate

Highlight your new skills on your resume or LinkedIn.
Enrollment
SELF-PACED LEARNING
( Course+ Lab+ Certificate)

90 Days Lab

199 700
INSTRUCTOR-LED TRAINING
STARTS FROM: 11 Jul
Sun, Sat (10 weeks)
10:30 a.m. - 12:30 p.m. America/New_York
90 days lab
310 1,200
Sold Out

18 Seats Left

Learning Path
Download Course Syllabus

1.1 What is 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 Overview 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 Administrator 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 Continuous 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 Objective

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 Objective

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 Objective

8.2 Introduction to Continuous Monitoring

8.3 Introduction to Graffana

8.4 Installing Graffana

8.5 Adding customised dashboard in Graffana

9.1 Objective

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

Projects

End to End

Taxi Stream Processing Project

Build a fault tolerant, scalable web service that calculates basic metrics over taxi data. You will obtain the live data from Pub/Sub. Your web service will return the total number of trips in the past one hour. You will be working on the following challenges -


1. Deployment of services and dependencies on a distributed cluster

2. Running each service in Docker and kubernetes

Certificate

Certificate

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 Creators
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Sandeep Giri

Ashok Singh

DevOps Consultant at Cisco Systems
Past: MYCOM OSI, Wipro
Praveen Pavithran

Praveen Pavithran

Co-Founder at Yatis
Past: YourCabs, Cypress Semiconductor
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Developer
FAQ

In Self-paced learning, you will get,

  1. Lifetime access to the self-paced course including videos, assessments, quizzes, and projects
  2. Recordings of the previous batch of instructor-led training
  3. 24x7 support using the discussion forum

No, we will provide you with access to our online lab and BootML so that you do not have to install anything on your local machine

No. For the self-paced course, there is no option of paying in installments.

The instructor will show how to use and deploy these services on AWS and GCP. You will have to use your own AWS or GCP account and pay for these services. The instructor will demonstrate how can you minimize the billing on your AWS and GCP accounts.

Also for the tools which can be demoed on CloudxLab, you can use your lab account for the same. With the course, you will get 90 days of lab access.

There is no programming language required as such. If you are comfortable with Linux commands then you will be able to get the concepts.

Python and Shell scripts will be used depending on the tool that is being covered.

We provide a 100% fee refund if the request is raised within 7 days from the enrollment date. Please contact us at reachus@cloudxlab.com to request a refund within the stipulated time. Thereafter, no refund is provided.

Have more questions? Please contact us at reachus@cloudxlab.com