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Mastering Devops Program

Last Update June 7, 2023
12 already enrolled

About This Course

DevOps is a set of software development practices that aim to automate and improve the process of software delivery. DevOps is a culture, philosophy, or movement that emphasizes the collaboration and communication of both software developers and other information technology (IT) professionals while automating the process of software delivery. This program is designed to provide you with a comprehensive understanding of DevOps principles, practices, and tools. Whether you are a software developer, system administrator, operations manager, or anyone interested in DevOps, this program will equip you with the knowledge and skills to excel in this field.

DevOps, short for Development and Operations, is a software development approach that emphasizes collaboration, communication, and integration between development teams and operations teams. It aims to streamline the software delivery process, increase the efficiency of deployments, and improve overall software quality.


Basic computer knowledge is more than enough.

Course Outlines and Core Components

Pragathi Technologies offers a Mastering DevOps Program to help you become an expert in the field. The course outline for the program is as follows:

  1. Introduction to DevOps: Learn the basics of DevOps, including its history, principles, and benefits.
  2. Getting Started with DevOps: Get an overview of the tools and technologies involved in DevOps.
  3.  Implementing DevOps Practices: Learn how to apply DevOps practices to real-world scenarios.
  4. Advanced Topics in DevOps: Explore advanced concepts in DevOps, such as continuous delivery and microservices.

The core components of DevOps are:

  1. Continuous integration (CI)
  2. Continuous delivery (CD)
  3. Continuous testing
  4. Infrastructure as code
  5. Monitoring and logging
  6. Microservices
  7. Containerization
  8. Collaboration

Key Principles of DevOps

There are a few key principles that guide the DevOps movement:

1) Automation: Automating as much of the software development and delivery process as possible helps to speed up the overall process, and allows teams to focus on more important tasks.

2) Collaboration: DevOps relies heavily on collaboration between developers and operations teams. By working together, they can better understand each other’s needs and objectives, and find ways to optimize the overall process.

3) Continuous Delivery: The goal of DevOps is to deliver software updates continuously, in small increments. This allows for faster feedback and less risk when deploying new code.

4) Measurement: In order to improve the efficiency of the software development process, it is important to measure various metrics such as lead time, throughput, and mean time to repair. This data can then be used to identify bottlenecks and potential areas for improvement.

Benefits of Pragathi Technologies DevOps Program

Pragathi Technologies DevOps Program has a number of benefits that help organizations improve their software development process.

  • By automating the software development process, organizations can speed up the delivery of new features and updates to their customers.
  • In addition, DevOps can help organizations improve the quality of their software products by reducing the number of errors and providing better feedback about the software development process.
  • Organizations that implement DevOps can also improve communication and collaboration between developers and operations teams.
  • By using automated tools and processes, developers and operations teams can work together more effectively to deliver software products.
  • DevOps is a software development methodology that emphasizes communication, collaboration, and integration between software developers and information technology (IT) professionals.
  • The goal of DevOps is to shorten the software development cycle and increase the quality of software products.
  • The Pragathi Technologies DevOps Program is designed to help you master the DevOps methodology.
  • Through this program, you will learn how to effectively communicate with IT professionals, collaborate with other software developers, and integrate new technologies into your workflow.
  • You will gain hands-on experience with tools and techniques that are essential for success in the DevOps field.
  • You will be able to gain a better understanding of how the software development process works.
  • You will be able to improve your problem-solving skills.
  • You will be able to learn new programming languages and technologies.
  • You will be able to work with a team of skilled professionals.
  • You will be able to get a job in a reputed company after completing the course.

Join us on a journey of learning, growth, and success as we explore what it takes to become a true master of DevOps with Pragathi Technologies.

Career Opportunities after Completion of the Course

  1. DevOps Engineer
  2. Site Reliability Engineer (SRE)
  3. Cloud Engineer:
  4. Automation Architect:
  5. Release Manager:
  6. DevOps Consultant
  7. DevOps Manager
  8. Technical Evangelist


Learn DevOps with a PRODUCTION grade project

VProfile is a web application written in Java by our Developers, it is a social networking website like Facebook. This entire application is designed as it’s their in real time to train you on automating all these components.

In the first place, you will learn different components and services in this application like Nginx, Tomcat, Apache, Rabbit MQ, Elastic search, Mem cache, MySQL, Mongo dB etc.

Learn first to deploy them manually one by one on Virtual Machines and AWS cloud. Then learn all the DevOps tools like Ansible, Jenkins, Git, Docker, and Kubernetes to automate everything.

Also you will learn to automate the entire Build process by combining all these developers’ tools with Jenkins. We call it Continuous Integration.

Learn how to secure your services by creating a secure infrastructure in AWS       cloud. Learn High Availablity and Redundancy along with the project implementation.

As we say Do it like a PRO


By keeping the latest trend of the DevOps market in the mind it’s designed to make you a self-learner in DevOps world. We are using a real time web application project to train you on various DevOps tool.


    Course is divided into nine parts, Seven parts are mandatory and will be done in the same flow. Eight part will be an self-phased learning.  Ninth part (Realtime Project )  will be taken after the completion of the course. It will be scheduled (mostly weekends) and notified to you but it’s optional to attend and does not hamper your self-learning process.

Information about the course content

Part – 1 : Redhat Ansible Automation

1 . Introducing Ansible

  • Automating Linux Administration with Ansible
  • Installing Ansible
  • Guided Exercise : Installing Ansible

2 . Deploying Ansible

  • Building an Ansible Inventory
  • Guided Exercise : Building an Ansible Inventory
  • Managing Ansible Configuration Files
  • Guided Exercise : Managing Ansible Configuration Files
  • Running Ad Hoc Commands
  • Guided Exercise : Running Ad Hoc Commands
  • LAB : Deploying Ansible

3 . Implementing Playbooks

  • Writing and Running Playbooks
  • Guided Exercise : Writing and Running Playbooks
  • Implementing Multiple Plays
  • Guided Exercise : Implementing Multiple Plays
  • LAB : Implementing Playbooks

4 . Managing Variables and Facts

  • Managing Variables
  • Guided Exercise : Managing Variables
  • Managing Secrets
  • Guided Exercise : Managing Secrets
  • Managing Facts
  • Guided Exercise : Managing Facts
  • LAB : Managing Variables and Facts

5 . Implementing Task Control

  • Writing Loops and Conditional Tasks
  • Guided Exercise : Writing Loops and Conditional Tasks
  • Implementing Handlers
  • Guided Exercise : Implementing Handlers
  • Handling Task Failure
  • Guided Exercise : Handling Task Failure
  • LAB : Implementing Task Control

6 . Deploying Files to Managed Hosts

  • Modifying and Copying Files to Hosts
  • Guided Exercise : Modifying and Copying Files to Hosts
  • Deploying Custom Files with Jinja2 Templates
  • Guided Exercise : Deploying Custom Files with Jinja2 Templates
  • LAB : Deploying Files to Managed Hosts

7 . Managing Large Projects

  • Selecting Hosts with Host Patterns
  • Guided Exercise : Selecting Hosts with Host Patterns
  • Managing Dynamic Inventories
  • Guided Exercise : Managing Dynamic Inventories
  • Configuring Parallelism
  • Guided Exercise : Configuring Parallelism
  • Including and Importing Files
  • Guided Exercise : Including and Importing Files
  • LAB : Managing Large Projects

8 . Simplifying Playbooks with Roles

  • Describing Role Structure
  • Reusing Content with System Roles
  • Guided Exercise : Reusing Content with System Roles
  • Creating Roles
  • Guided Exercise : Creating Roles
  • Deploying Roles with Ansible Galaxy
  • Guided Exercise : Deploying Roles with Ansible Galaxy
  • LAB : Simplifying Playbooks with Roles

9 . Troubleshooting Ansible

  • Troubleshooting Playbooks
  • Guided Exercise : Troubleshooting Playbooks
  • Troubleshooting Ansible Managed Hosts
  • Guided Exercise : Troubleshooting Ansible Managed Hosts
  • LAB : Troubleshooting Ansible

10 . Automating Linux Administration Tasks

  • Managing Software and Subscriptions
  • Guided Exercise : Managing Software and Subscriptions
  • Managing Users and Authentication
  • Guided Exercise : Managing Users and Authentication
  • Managing the Boot Process and Scheduled Processes
  • Guided Exercise : Managing the Boot Process and Scheduled Processes
  • Managing Storage
  • Guided Exercise : Managing Storage
  • Managing Network Configuration
  • Guided Exercise : Managing Network Configuration
  • LAB : Automating Linux Administration Tasks

11 . Comprehensive Review : Automation with Ansible

  • Comprehensive Review
  • LAB : Deploying Ansible
  • Creating Playbooks
  • LAB : Creating Roles and Using Dynamic Inventory

Part – 2 : Advanced GIT

Chapter 1 Introduction

  • Course Overview
  • Course Audience and Course Study Tips
  • Why Command Line?
  • Why Source Control?
  • Why Git?
  • Key Git Terminology

Chapter 2: Git Installation

  • Installation Overview
  • Prerequisites of Installing GIT
  • Installing Git for Linux

Chapter 3: Git Quick Start

  • Quick Start, Part 1: Starting with GitHub and
  • Project Setup
  • Quick Start, Part 2: Configuration, Clone, and
  • Git Basic Workflow
  • Quick Start Resources

Chapter 4: Text Editor Installation

  • Text Editor Installation Overview
  • TextMate 2 Installation
  • Configure Textmate 2 with Git
  • Text Editor Resources

Chapter 5: Basic Git Commands

  • Basic Commands Overview
  • Starting with a Fresh Project (git init)
  • Adding Git to an Existing Project (git init)
  • Starting on GitHub by Joining an Existing Project (git clone)
  • Basic Git Workflow (add, commit, pull & push)
  • Tracked Files
  • Editing Files
  • Recursive Add
  • Backing Out Changes
  • Renaming and Moving Files
  • Deleting Files
  • History
  • Git Alias
  • Ignoring Unwanted Files and Folders
  • Cleanup and Back to Origin (GitHub)
  • Git Basics Resources

Chapter 6: Visual Merge/Diff Tool Installation

  • Visual Merge / Diff Tool Installation Overview
  • P4Merge Install on Linux
  • P4Merge Configure on Linux
  • P4Merge for Linux Git Configuration
  • Visual Merge / Diff Tool Resources

Chapter 7: Comparisons

  • Git Repository Setup (for comparing examples)
  • Comparing Working Directory and the Staging Area
  • Comparing Working Directory and Git Repository (Last Commit)
  • Comparing between the Staging Area and the Git Repository (Last Commit) Limiting Comparisons to one File (or path)
  • Comparing Between Commits
  • Comparing Between Local and Remote Master
  • Branches Comparison Section Cleanup and Push
  • back to GitHub

Chapter 8: Branching and Merging

  • Branching Basics
  • Happy Path / Fast Forward Merges
  • Happy Path / Disable Fast Forward Merges
  • Automatic Merges
  • Conflicting Merges and Resolution
  • Section Cleanup and Push back to GitHub

Chapter 9: Rebasing

  • Simple Rebase Example
  • Setup for rebasing conflict
  • Abort a Rebase
  • Rebase Conflict and Resolution Pull with
  • Rebase (GitHub)
  • Section Cleanup and push to GitHub

Chapter 9: Tagging

  • Simple Tag Example / Lightweight Tags Annotated Tags
  • Comparing Tags
  • Tagging a Specific Commit
  • Updating Tags
  • Using Tags with GitHub
  • Tagging Section Resources

Part – 3 :  Docker Certified Administrator

Chapter 1: Course Introduction and Docker Introduction

  • Course Roadmap (overview)
  • Why Docker? Why Now?

Chapter 2: The Best Way to Setup Docker for Your OS

  • Docker Editions: Which Do I Use?
  • Installing Docker: The Fast Way
  • Code or Text Editor for Docker and Compose files
  • Terminal Shell and Tab Completion for Docker CLI
  • Docker Version Format Change

Chapter 3: Creating and Using Containers

  • Check Our Docker Install and Config
  • Starting a Nginx Web Server
  • What Happens When We Run a Container
  • Container VS. VM: It’s Just a Process
  • Assignment: Manage Multiple Containers
  • What’s Going On In Containers: CLI Process
  • Monitoring Getting a Shell Inside Containers: No Need for SSH
  • Docker Networks: Concepts for Private and Public Comms in Containers FIXME: Change In Official Nginx Image Removes Ping
  • Docker Networks: CLI Management of Virtual Networks Docker Networks: DNS and How Containers Find Each Other

Chapter 4: Container Images, Where To Find Them and How To Build Them

  • What’s In An Image (and What Isn’t)
  • The Mighty Hub: Using Docker Hub Registry Images
  • Images and Their Layers: Discover the Image Cache
  • Image Tagging and Pushing to Docker Hub
  • Building Images: The Dockerfile Basics
  • Building Images: Running Docker Builds
  • Building Images: Extending Official Images
  • Assignment: Build Your Own Dockerfile and Run Containers From It Assignment Answers: Build Your Own Dockerfile and Run Containers From It Using Prune to Keep Your Docker System Clean

Chapter 5: Container Lifetime & Persistent Data: Volumes, Volumes, Volumes

  • Container Lifetime & Persistent Data
  • Persistent Data: Data Volumes
  • Persistent Data: Bind Mounting
  • Quiz : Quiz on Persistent Data Volumes

Chapter 6: Making It Easier with Docker Compose: The Multi-Container Tool

  • Docker Compose and The docker-compose.yml File
  • Trying Out Basic Compose Commands
  • Assignment: Build a Compose File For a Multi-Container Service
  • Assignment Answers: Build a Compose File For a Multi-Container Service Adding Image Building to Compose Files
  • Assignment: Compose For Run-Time Image Building and Multi-Container Development

Chapter 7: Swarm Intro and Creating a 3-Node Swarm Cluster

  • Swarm Mode: Built-In Orchestration
  • Create Your First Service and Scale It Locally
  • UI Change For Service Create/Update
  • Docker Machine Bug With Swarm
  • Creating a 3-Node Swarm Cluster
  • Quiz on Swarm Mode Basics

Part – 4 :  Certified Kubernetes Administrator

Chapter 1: Kubernetes Course Overview

  • Introduction

 Chapter 2: Pre-requisites

  • Monolithic Architecture and its drawbacks
  • Microservices and its advantages Containers
  • Physical Servers vs. Virtual Machines vs.Containers
  • Docker

Chapter 3: Introduction to Kubernetes

  • Container Orchestration Engine (COE)
  • TOP 3 Container Orchestration Engines
  • What is Kubernetes
  • Kubernetes Architecture made easy

 Chapter 4: Setting up Kubernetes Environment

  • Kubernetes Installation Methods
  • Play-With-Kubernetes (PWK)
  • Demo: Play-With-Kubernetes (PWK)
  • Minikube
  • Demo: Minikube
  • Google Kubernetes Engine (GKE)
  • Demo: Google Kubernetes Engine
  • Installing Kubernetes using Kubeadm
  • Demo: Installing Kubernetes using Kubeadm
  • Using Kubectl

 Chapter 5: Pods Basics

  • Pods
  • Demo: Pod

Chapter 6: Configuration

  • ConfigMaps
  • Demo: ConfigMaps
  • Secrets
  • Demo: Secrets

 Chapter 7: Controllers

  • Replication Controller
  • Demo: Replication Controller
  • ReplicaSet
  • Demo: ReplicaSet
  • Deployments
  • Demo: Deployments
  • DaemonSet
  • Demo: DaemonSet
  • Jobs
  • Demo: Jobs

 Chapter 8: Services

  • Services
  • NodePort Service
  • Demo: NodePort Service
  • LoadBalancer Service
  • Demo: LoadBalancer Service
  • ClusterIP Service
  • Demo: ClusterIP Service

 Chapter 9: Storage

  • Storage Volumes
  • emptyDir
  • Demo: emptyDir
  • HostPath
  • Demo: HostPath
  • GCE Persistent Disk
  • Demo: GCE Persistent Disk
  • Persistent Volumes & Persistent Volume Claims ( PV & PVC )
  • Static Volume Provisioning
  • Dynamic Volume Provisioning
  • Demo: Dynamic Volume Provisioning

Part – 5 :  JENKINS

 1: Introduction to Continuous Integration and Jenkins-CI/CD

  • What is Continuous Integration
  • Jenkins Continuous Integration
  • What is Continuous Deployment
  • Jenkins Vs Jenkins Enterprise

2: Jenkins Installation

  • Downloading and Installing Jenkins using TomCat
  • Creating Jenkins as a Service.
  • Starting and Stopping Jenkins

 3: Configure Jenkins and User Management.

  • Secure Jenkins
  • Create a new user
  • Generate ssh key for Jenkins user
  • Plug-in management

4: Jenkins jobs setup

  • Setting up a Jenkins job (Freestyle, Pipeline, maven, MSBuild, Pybuild)
  • Jenkins parametrized jobs setup (choice params,boolean params etc)
  • Email notification jobs
  • Parallel jobs configuration
  • nodes (slaves) configuration

5: Jenkins Integration

  • Git integration with Jenkins
  • Maven Integration with jenkins
  • ansible , artifactory integration
  • Docker and scanning tool integration
  • AWS and code review tool

6: Jenkins User administration

  • Role based administration
  • Project based administration
  • Metric based administration
  • Slaves configuration
  • Users and groups creation

Part – 6 :  TERRAFORM  ( Self Phased-Learning )

 Modules :

Unit:1 Introduction to Terraform

  • Introduction to terraform
  • Infrastructure Automation
  • Install Terraform
  • Providers
  • Resources
  • Basic Syntax

Unit-2 Getting started with Terraform

  • Terraform Plan, show, Apply, Destroy
  • Exploring Terraform Registry
  • Interpolation
  • Tainting and Updating Resources
  • Terraform Console and Output
  • Terraform Variables
  • Breaking Out Our Variables and Outputs

Unit-3 Terraform Modules

  • Introduction to Modules
  • Module repositories
  • First Basic Module
  • The Module code
  • Main Terraform Code
  • Using git repositories to save modules
  • Guide Exercise-1 Modules for Docker
  • Guide Exercise-2 The Docker Image Module
  • Guide Exercise-3 Modules The Container Module
  • Guide Exercise-4 Modules – The Root Module

Unit-4 Terraform: Writing in a more

  • organized way
  • Maps and Lookups
  • Terraform Workspaces
  • Breaking Out Our Variable Definitions
  • Null Resources and Local-Exec
  • Terraform Console

Unit-5 Terraform with AWS Cloud

  • Setting up the system for AWS
  • AWS Storage: The S3 Bucket and Random ID
  • AWS Storage: The Root Module
  • AWS Compute: AMI Data, Key Pair, & File Function
  • AWS Compute: The EC2 Instance
  • AWS Compute: User Data and Template Files
  • AWS Compute: The Root Module

Unit-6 Terraform with AWS cloud

  • advance practice
  • AWS Networking: VPC, IGW, and Route Tables
  • AWS Networking: Subnets, Security & Count Attribute
  • AWS Networking: The Root Module

Unit-7 Terraform basic labs: Templates, Conditionals and Functions

  • Remote state
  • Data Sources
  • Templates
  • Conditionals
  • Built-in Functions
  • Working with state files
  • Outputs, count and Join Function

Unit-8 Terraform Integration with S3, Git, Jenkins

  • Adding S3 backend
  • Integration with Git
  • Packer introduction
  • Terraform with Packer
  • Terraform with Jenkins
  • Terraform Formatting and Remote State
  • Terraform RandomID and S3 Buckets

Unit-9 Terraform Troubleshooting and Testing

  • Terraform Plan revisited
  • Debugging the script
  • Terraform Testing
  • Error Handling



Unit-10 Terraform with Azure , Google Cloud and plugins Examples

  • Terraform with Azure cloud
  • Terraform with Google Cloud
  • Terraform Templates
  • Terraform plugins
  • Integrating Go Plugins

Unit-11 Terraform advance features and examples

  • Best practices in writing terraform scripts
  • Terraform Workflow
  • Terraform projects
  • Other Hashicorp tools
  • New features of Terraform
Projects that we cover in this course.
  • Project setup on Local Machines (VM’s)
  • Project setup on AWS cloud
  • CI/CD pipeline Project
  • Ansible Projects
  • AWS CI/CD Project
  • Containerzation Project
  • Kubernetes Project
  • DevOps job profiling, Interview
  • How to keep up with DevOps latest tool

Frequently Asked Questions ( FAQ‘s)

DevOps isn’t a product but rather a culture and process. There are certain technologies and skills someone working in a DevOps environment should have.

The recently released 2017 State of DevOps Report uncovers some impressive statistics. High performing organizations that effectively utilize DevOps principles achieve:

  • 46x more frequent software deployments than their
  • 96x faster recovery from
  • 440x faster lead time for
  • Higher levels of customer satisfaction and operational

Sources: transformational-leadership-is-key/#4c3c7de563dc

DevOps adoption has jumped from 66% in 2016 to 74% in 2016. With such a rate in 2 years it will go more than 90 %.


With such a high adoption rate of DevOps across IT industry, it has opened lot of Job Windows that are not yet fulfilled. Companies are desperately looking for DevOps Engineers who can help them setting up DevOps Environment.

DevOps are one of the highly paid job as per Business Insider, Glassdoor & Pay Scale survey.

Our focus is on training you on Real Time use cases and not just one by one introduction to tools. For this very reason we have created Vprofile application. You will learn all the latest and greatest DevOps tool in the market and most importantly integrate them together to setup Orchestration of continuous Delivery. Yes we said orchestration and not simple automation scripts.

Vprofile is a java based Web Application written by our expert Developers. It’s a social networking website like Facebook.

In Real time you will have multiple services/servers working together to create a web service like

Facebook or Twitter or Amazon or Flipkart. To deliver features to the website, developers will code new features and Operations team will deploy them into production servers. By using DevOps principals and Tools we can deliver features more rapidly to production systems.

We have taken the same approach and will train you in the similar manner.

We are training you from the very scratch, we believe in building strong base. So we start the course by Linux systems and basic networking. Then we train you on virtualization and Cloud computing. Once you have the infrastructure knowledge we will setup our application on it manually. So you dont need any background but you have to practice well.

Yes it is very much possible and we are talking from all our past experiences. The course is well structured and very well documented. Apart from the time you spend in the class you have to put your own efforts in going through the exercises. SO that will add some more time in learning.

Well we know no matter how much you concentrate in the class you still will have chances of making mistakes while practicing by yourself. For that very reason we have written a Book Decoding DevOps which you will get when you join the course. It’s a step by step guide of everything you need for practicing. Along with that you will get few more Documents, Codes, Files and commands for practicing on regular basis

Put an eye on the bullet points below and you will get your answers.

  • Decoding DevOps book (Complete guide for DevOps Implementation)
  • Vprofile real time project

Contact Pragathi Technologies through phone or email.

Learning Objectives

Understand the fundamentals of database theory
Use SQL to create, design, and manipulate SQL databases
Extract data from a database writing your own queries
Create powerful professional visualizations in Tableau
Combine SQL and Tableau to visualize data from the source
Solve real-world business analysis tasks in SQL and Tableau

Material Includes

  • Videos
  • Booklets


  • No prior experience is required. We will start from the very basics
  • You’ll need to install MySQL, Tableau Public, and Anaconda. We will show you how to do it step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365

Target Audience

  • Beginners to programming and data science
  • Students eager to learn about job opportunities in the field of data science
  • Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment
  • SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
  • People interested in a Business Intelligence Analyst career


5 Lessons22h 30m

Intro to Data and Data Science – Common Data Science Techniques

Communication Skills Methodology

Your Instructors


20 Courses
18 Reviews
36 Students
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All Levels
Duration 22.5 hours
5 lectures

Material Includes

  • Videos
  • Booklets

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