Master in DevOps Engineering

Item: Master in DevOps Engineering
Author: Amit

Croma Campus offers the master program for DevOps Engineering which helps student to get the knowledge in the DevOps.

INR 50000

Excluding GST

100% Placement

Assistance

Ranked#2 among Top Full-Time

Master in DevOps Engineering in India- 2010-2024

Start Date : 16^th Dec 2024Duration : 8 Months
Format : Live Online /Self-Paced/Classroom

Course 1DevOps Certification Training
Course 2Terraform Training
Course 3Docker Training
Course 4Kubernetes Training
Course 5Ansible Training
Course 6Jenkins Training
Course 7Microservices Certification Training
Course 8DevOps Live Projects
Master's Certificate

Future of Master in DevOps Engineering

₹4LPA to 14 LPA

A DevOps engineer on average can earn around ₹4 LPA. On the other hand, a DevOps engineer who is experienced can earn around 14 LPA.

Job Opportunities

According to a survey, there is a 75% increase in the listing of DevOps jobs on Indeed.com. Similarly, there is a 50% rise in the mention of DevOps as a required skill in job listings of LinkedIn.

Future Analytics

As per a survey, the DevOps market is going to reach the mark of $12.85 billion by the year 2025.

4.9 out of 5 rating vote 19874

Croma Campus offers the master program for DevOps Engineering which helps student to get the knowledge in the DevOps..

INR 50000 + GST

100% Placement Assistance

ABOUT TOOLS COVERED CURRICULUM PROJECTS PLACEMENT ADMISSION PROCESS FEE STRUCTURE FAQ's ENROLL NOW

Program Overview

The master's in DevOps engineering course is for aspiring DevOps engineers who wish to become experts in utilizing DevOps methodology for software/application development. During the DevOps Course, students will learn about key concepts of DevOps, DevOps processes & tools, CI/CD, etc. The main aim of the master in DevOps engineering training program is to help students become experts in utilizing the DevOps methodology. After completing this phenomenal training program, you can get a job as a:

DevOps Engineer
Application Developer
Azure DevOps Engineer
Software Engineer
DevOps Specialist

There is a rise in the number of companies using DevOps methodology for software/application development. As a result, there is a huge demand for DevOps engineers in the market who can help them utilize the power of this phenomenal methodology. According to a survey, there is a 225% rise in DevOps engineering jobs in the market since the year 2013. This is why DevOps engineers get hefty salaries/remuneration from companies in which they work. In simple words, there are lots of opportunities for DevOps experts in the market.

According to a survey, there is a 75% increase in the listing of DevOps jobs on Indeed.com. Similarly, 50% rise in the mention of DevOps as a required skill in job listings of LinkedIn.
A lot of opportunities for DevOps experts are available in the market. For example, you can get a job as a DevOps engineer, application developer, software engineer, etc.
As per a survey, there is a 225% rise in DevOps engineering jobs since the year 2013.
As per a survey, the DevOps market is going to reach the mark of $12.85 billion by the year 2025.

With project-based training in the DevOps Engineer Training program, you will master the key concepts of this amazing methodology. Moreover, you will be equipped with all the key skills that are necessary for getting a job as a DevOps engineer.

With project-based training in the DevOps engineering training program, you will master the key concepts of this amazing methodology. Moreover, you will be equipped with all the key skills that are necessary for getting a job as a DevOps engineer.

After completing the DevOps engineering training program, you can quickly get a job in a respected company with a handsome salary package of ₹4 LPA to ₹14 LPA.

As per a survey, the DevOps market is going to reach the mark of $12.85 billion by the year 2025.

The main aim of the DevOps engineering training program is to help students master the vital or important concepts of DevOps. Besides this, the students will learn how to use this phenomenal methodology for software/app development.
Things you will learn:

Fundamentals of DevOps methodology
DevOps processes/tools
Scripting
CI, CD, and IAAC
GIT

The objective of a master in DevOps engineering training is to provide in-depth knowledge of DevOps methodology, concepts, and tools and make them expert DevOps engineers. The AWS DevOps Professional Certification course is developed along with expert DevOps engineers to make sure that it fulfills the changing demand of the software development industry.

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Tools Covered of Master in DevOps Engineering

Master in DevOps Engineering Curriculum

Course 1

DevOps Certification Training

DevOps is a set of Practices that Combines Software Development and IT Operations. It aims to shorten the Systems Development Life Cycle and provide Continuous Delivery with High Software Quality.

Course Content

Things you will learn:

Module 1: Infrastructure Setup

EC2 Walkthroug

Installation of DevOps Tools in the Cloud

Docker

Selenium

Jenkins

Puppet

Ansible

Kubernetes

Module 2: Overview of DevOps

Why DevOps

What is DevOps

DevOps Market Trends

DevOps Engineer Skills

DevOps Delivery Pipeline

DevOps Ecosystem

Module 3: Introduction to DevOps on Cloud

Why Cloud

Introduction to Cloud Computing

Why DevOps on Cloud

Introduction to AWS

Various AWS Services

DevOps using AWS

Module 4: Git, Jenkins & Maven (Version Control, Continuous Integration & Build)

Version Control with Git

What is Version Control

What is Git

Why Git for your Organization

Install Git

Common Commands in Git

Working with Remote Repositories

Git, Jenkins & Maven Integration

Branching and Merging in Git

Git Workflows

Git Cheat Sheet

What is CI

Why CI is Required

Introduction to Jenkins (With Architecture)

Introduction to Maven

Branching and Merging, Stashing, Rebasing, Reverting and Resetting

Build and Automation of Test using Jenkins and Maven

Jenkins (Continuous Integration)

Jenkins Management

Adding a Slave Node to Jenkins

Building Delivery Pipeline

Pipeline as a Code

Implementation of Jenkins

Build the Pipeline of Jobs using Jenkins

Create a Pipeline Script to Deploy an Application over the Tomcat Server

Module 5: AWS (Amazon Web Services)

Introduction to Cloud Computing & AWS

Elastic Compute and Storage Volumes

Load Balancing, Autoscaling and DNS

Virtual Private Cloud

Storage - Simple Storage Service (S3)

Databases and In-Memory DataStores

Management and Application Services

Access Management and Monitoring Services

Automation and Configuration management

AWS Migration

AWS Architect Interview Questions

Module 6: Docker (Continuous Deployment)

Shipping Transportation Challenges

Introducing Docker

Understanding Images and Containers

Running Hello World in Docker

Introduction to Container

Container Life Cycle

Sharing and Copying

Base Image & Docker File

Working with Containers

Publishing Image on Docker Hub

Create and Implement Docker Images and Containers

Module 7: Puppet (Continuous Deployment)

Introduction to Puppet

Puppet Installation

Puppet Configuration

Puppet Master and Agent Setup

Puppet Module

Node Classification

Puppet Environment

Puppet Classes

Automation & Reporting

Install and Configure Puppet

Configure and Implement Servers using Puppet

Module 8: Ansible (Configuration Management)

Introduction to Ansible

Ansible Installation

Configuring Ansible Roles

Write Playbooks

Executing Adhoc Command & Installing Ansible

Configuring Ansible Role & Write Playbooks

Execute Adhoc Commands

Module 9: Kubernetes (Containerization using Kubernetes)

Revisiting Kubernetes Cluster Architecture

Spinning up a Kubernetes Cluster on Ubuntu VMs

Exploring your Cluster

Understanding YAML

Creating a Deployment in Kubernetes using YAML

Creating a Service in Kubernetes

Installing Kubernetes Dashboard

Deploying an App using Dashboard

Using Rolling Updates in Kubernetes

Containers and Container Orchestration

Introduction to Kubernetes

Setting up the Kubernetes Cluster

Accessing your application through service

Deploying an app through Kubernetes Dashboard

Rolling updates in Kubernetes

Module 10: Nagios (Continuous Monitoring with Nagios)

Introduction to Continuous Monitoring

Introduction to Nagios

Installing Nagios

Nagios Plugins(NRPE) and Objects

Nagios Commands and Notification

Installing Nagios

Monitoring of different servers using Nagios

Course 2

Terraform Training

Our Terraform certification course has an excellent scope in different domains of Information Technology.

Course Content

Things you will learn:

Module 1: Getting Started & Setting Up Labs

Choosing a right Infrastructure as Code Tool

Installing Terraform - Windows Users

Installing Terraform – Mac OS and Linux Users

Choosing Right IDE for Terraform IAC development

Setting up AWS account

Module 2: Deploying Infrastructure with Terraform

Creating first EC2 instance with Terraform

Understanding Resources & Providers

Destroying Infrastructure with Terraform

Understanding Terraform State files

Understanding Desired & Current States

Challenges with the current state on computed values

Terraform Provider Versioning

Types of Terraform Providers

Module 3: Read, Generate, Modify Configurations

Understanding Attributes and Output Values in Terraform

Referencing Cross-Account Resource Attributes

Terraform Variables

Approaches for Variable Assignment

Data Types for Variables

Fetching Data from Maps and List in Variable

Count and Count Index

Conditional Expressions

Local Values

Terraform Functions

Data Sources

Debugging in Terraform

Terraform Format

Validating Terraform

Configuration Files

Load Order & Semantics

Dynamic Blocks

Tainting Resources

Splat Expressions

Terraform Graph

Saving Terraform Plan to File

Module 4: Terraform Provisioners

Understanding Provisioners in Terraform

Types of Provisioners

Implementing remote-exec provisioners

Implementing local-exec provisioners

Module 5: Terraform Modules & Workspaces

Understanding DRY principle

Implementing EC2 module with Terraform

Variables and Terraform Modules Terraform Registry

Terraform Workspace

Implementing Terraform Workspace

Module 6: Remote State Management

Integrating with GIT for team management

Security Challenges in Commiting TFState to GIT

Remote State Management with Terraform

Implementing S3 Backend

Challenges with State File locking

Integrating DynamoDB with S3 for state locking

Terraform State Management

Importing Existing Resources with Terraform Import

Module 7: Security Primer

Handling Access & Secret Keys the Right Way in Providers

Terraform Provider Use Case - Resources in Multiple Regions

Handling Multiple AWS Profiles with Terraform Providers

Terraform & Assume Role with AWS STS

Sensitive Parameter

Course 3

Docker Training

The Docker training course gives you a solid foundation for the official “Docker Certified Associate exam”. The training program is designed from the ground up to teach new learners about the intricacies of the Docker containerization technology.

Course Content

Things you will learn:

Module 1: Containerization Overview

Containerization

History of Containers

Namespaces and C Groups

Containers vs Virtual Machines

Types of Containers

Introduction to Docker

Docker Architecture

Container Lifecycle

Docker CE vs Docker EE

Module 2: The Docker Engine

Docker Engine

Setting up Docker Engine

Upgrading Docker Engine

Setting up logging drivers in Docker

Configuring Logging Drivers

Docker Terminology

Port Binding

Detached vs Foreground Mode

Starting Containers in different modes

Docker CLI Commands

Docker Exec Commands

Restart Policy in Docker

Removing Containers

Module 3: Image Management & Registry

Docker-file

Write a Docker-file to create an Image

Docker-file Instructions

Docker Registry

Configuring Local Registry

Build Context

Docker Image Tags

Setting up Docker Hub

Removing Images from the Registry

Module 4: Storage in Docker

Docker Storage

Types of Persistent Storage

Volumes

Bind Mounts

TMPFs Mount

Storage Drivers

Device Mapper

Docker Clean Up

Module 5: Orchestration in Docker

Docker Compose

Deploy a Multi-container Application using Compose

Docker Swarm

Running Docker in Swarm mode

Docker Service

Deploying a Service in Swarm

Service Placement

Scale Services

Rolling Update and Rollback

Docker Stack

Module 6: Networking and Security

Docker Networking

Network Drivers

Bridge Network

Overlay Network

Host and Macvlan

Docker Security

Docker Content Trust

Securing the Docker Daemon

Create and use a User-defined Bridge Network

Create and use an Overlay Network

Use Host and Macvlan Network

Configure Docker to use External DNS

Signing images using DCT

Module 7: Docker EE and Monitoring

Docker Enterprise

Universal Control Plane (UCP)

UCP Architecture

Access Control in UCP

Docker Trusted Registry (DTR)

Monitoring using Prometheus

Module 8: Docker with Kubernetes

Kubernetes Core Concepts

Setup Kubernetes cluster using GKE

Kubernetes Common Commands

Pods - Deploy a Pod

Deployments - Use a Deployment for pod management

Labels, Selectors, and Annotations

Services - Deploy different Services

Persistent Volumes and Persistent Volume Claims

Use Persistent Storage in Kubernetes

Storage Classes

Use Storage Classes

Module 9: Docker with Microservices

What are Microservices

Understanding Microservices and Docket together

Using Docker for Microservices

Advantages of using Docker for Microservices

Design Microservices Architecture with Docker Containers

Extending the Architecture of a Microservices-Based App with Docker

Course 4

Kubernetes Training

The Kubernetes Training Course is designed in reference with CNCF’s Certified Kubernetes Administrator Exam. This course will give you an in-depth understanding of various aspects of the Exam such as Kubernetes Core Concepts, Kubernetes Networking, Pod Scheduling, Logging, Monitoring, Cluster Security, and Troubleshooting.

Course Content

Things you will learn:

Module 1: Kubernetes Core Concepts and Networking

Kubernetes Fundamentals

Kubernetes Core Concepts

Kubectl common commands

Understanding Pods

Configure network on cluster nodes

Pod Networking Concepts

Setting up a cluster - Kubernetes Certificates

Practical Assignment

Perform basic Kubectl commands

Deploy pods and use INIT containers to pre-set an environment

Configure Kubernetes network using Calico

Use certificates to authenticate resources

Module 2: Kubernetes Services and Scheduling

Services and Controllers

Service Networking

Deploy different kinds of services

Deploy and configure network Load Balancer

Primitives necessary for self-healing apps

Effects of resource limiting on pod scheduling

Configure Kubernetes Scheduler

Running multiple Schedulers

Module 3: Kubernetes Controllers

Replica Set and Replication Controller

Deploy different Replication Controllers

About Daemon Sets

Use Daemon Sets on nodes

Deployments

Manage pod updates using Deployments

Rolling updates and Rollbacks

Scaling applications and Ingress

Use HPA for dynamic work-load management

Use Ingress controller and rules to manage network traffic

Module 4: Persistent Storage in Kubernetes

Persistence Storage Overview

Persistent Volume and Persistent Volume Claim

Access modes for volumes

Primitives for Persistent Volume Claim

Secrets and Config Maps in your pods

Storage classes

Headless services

Stateful Sets

Lab Work

Deploy Persistent Volume and Persistent Volume Claim

Use Secrets and Config Maps in your applications

Use Storage Class for dynamic storage allocation

Use stateful applications for sticky identities for pods

Deploy a highly available replicated MariaDB cluster

Module 5: Securing Clusters

Basic Concepts

Authentication

Authorization

Kubernetes security primitives

Configure Network Policies

Security Contexts

Lab Work

Create and use Roles and Role Bindings

Define custom Egress and Ingress policies

Use probes and configure a restart policy for pods

Define privilege and access control using security contexts

Module 6: Logging & Monitoring Clusters

Monitor cluster using Prometheus

Visualize logs using EFK stack

Deploy jobs to run tasks to completion

Manage etcd cluster

Use Helm Charts

Module 7: Troubleshooting Clusters

Troubleshooting application failures

Troubleshooting cluster failures

Course 5

Ansible Training

Ansible is an open source configuration management, software provisioning, and application deployment tool. Its application is found in many Unix-like systems. Additionally, it can be configured to work perfectly with Microsoft Windows as well.

Course Content

Things you will learn:

Module 1: Introduction to Ansible

Evolution of Infrastructure

Overview of Infrastructure as a Code

What is Configuration Management

Ansible Overview

Module 2: Ansible Architecture & Installation

Ansible Architecture and its working

Ansible in DevOps

Installation and Configuration

Working with Command Line Tools

Module 3: The Playbook Grammar

Playbook YAML definition

Playbook terms

Playbook tasks

Writing Ansible Playbooks

Hosts and Users

Variables

Tasks

Handlers

Jinja2 Templates

Module 4: Ansible Modules

Overview of Modules

Types of Modules

Core Modules

Extras Modules

Return Values

Adhoc Commands

Case Study

Module 5: Ansible Roles

Overview of Roles

Role Directory Structure

Using Roles

Working with Ansible Galaxy

Module 6: Ansible Tower

Installing Ansible Tower

Features of Ansible Tower

Managing Jobs

Manage and Track Inventory

Remote Command Execution

Case Study

Course 6

Jenkins Training

Jenkins is the most popular tool to do Continuous Integration and Continuous Delivery of your software. This Training Program covers how to use Jenkins using the Jenkins DSL and Jenkins Pipelines (Jenkinsfile). It's a new way of using Jenkins, rather than using freestyle projects. I call it using Jenkins, the DevOps way! I'll explain you about infrastructure as code and automation to make sure you understand how Jenkins Pipelines fits within this new way of thinking.

Course Content

Things you will learn:

Module 01: Introduction To CI/CD

Traditional Software Development

Continuous Integration

Continuous Delivery

Continuous Deployment

Building the continuous deployment process

Automated Deployment Pipeline

CI/CD Tool Selection

Module 02: Getting Started with Jenkins

Setting Up Git

Assisted Practice: Git Set-up

Setting Up Jenkins

Assisted Practice: Jenkins Set-up

Maven Set-up

Assisted Practice: Maven Set-up

Exploring Jenkins

Assisted Practice: Build a Maven Project

Building a Maven Project with Jenkins

Module 03: Build Jobs and Configurations

Understanding Jenkins Build Jobs

Freestyle Build Jobs

Assisted Practice: Freestyle Job

Build Triggers

Assisted Practice: Scheduled Builds

Assisted Practice: Polling SCM

Build Steps

Jenkins Environment Variables

Post-build Actions

Assisted Practice: Post-build Actions

Using Jenkins with Other Languages

Assisted Practice: Building Projects with Gradle

Parameterized Build Jobs

Assisted Practice: Parameterized Builds

Assisted Practice: Building From Tags

Assisted Practice: Remote Triggering Parameterized Builds

Enabling Security in Jenkins

Assisted Practice: Enabling Security

Build Pipelines and Promotions

Triggering Parameterized Builds

Module 04: Configuring Build Pipelines

Introducing Pipelines

Understanding Pipeline Structure

Defining a Pipeline

Declarative Pipeline Syntax

Scripted Pipeline Syntax

Assisted Practice: Building Pipelines In Jenkins

Building a Pipeline

Continuous Integration Pipeline

Assisted Practice: Building Continuous Integration Pipelines in Jenkins File

Building Pipelines from Jenkinsfile

Assisted Practice: Building Continuous Integration Pipelines in Jenkinsfile

Snippet Generator

Unassisted Practice: Snippet Generator

Global Variable Reference

Declarative Directive Generator

Unassisted Practice: Restarting Pipelines

Multistage Pipeline

Module 05: Automated Testing in Jenkins

Jenkins as an Automation Testing tool

Assisted Practice: CI with Junit in Jenkins

Code Coverage using Jacoco

Assisted Practice: Code Coverage with Jacoco

Code Coverage using Clover

Assisted Practice: Code Coverage with Clover

Acceptance and Performance Tests in Jenkins

Assisted Practice: Integrate JMeter with Jenkins

Testing Code Coverage

Module 06: Code Quality Improvement Using Jenkins

Code Quality and Jenkins

Internals of Jenkins Jobs

Assisted Practice: Find Bugs Integration with Jenkins

Code Complexity

Assisted Practice: Coverage Complexity with Jenkins

Open Tasks & Sonar Qube

Assisted Practice: Sonar Qube with Jenkins

Static Code Analysis

Module 07: Automated Deployment and Continuous Delivery

Introduction to Automated Deployment and Continuous Delivery

Building the Continuous Delivery Process

Implementing Automated and Continuous Deployment

Assisted Practice: Deploying a Python Application

Assisted Practice: Tomcat and Jenkins

Assisted Practice: PHP and Jenkins

Deploying Maven App to Tomcat Server

Module 08: Distributed System in Jenkins

Introduction to Distributed Architecture

Assisted Practice: Create Multiple Slave Nodes

Deep Diving Jenkins Master/Slave Architecture

Assisted Practice: Assigning Jobs To Specific Slave Nodes

Distributed Builds

Course 7

Microservices Certification Training

Microservices Architecture Training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally.

Course Content

Things you will learn:

Module 1: Evolution of Microservices

Monolithic Architecture

Distributed Architecture

Service oriented Architecture

Microservice and API Ecosystem

Microservices in nutshell

Point of considerations

SOA vs. Microservice

Microservice & API

Module 2: Microservices Architecture

REST Architecture principles

Microservice Characteristics

Inter-Process Communications

Microservice Transaction Management

Module 3: Microservices Design

Domain Driven Design

Big Mud Ball to Sweet Gems

Untangling the Ball of MUD

Kill the MUD Ball growth

Repackaging/Refactoring

Decouple the User interface and Backend Business Logic

MUD Ball to Services

Microservice Design Patterns

Microservice Architecture Decisions

Module 4: Microservices Security

Why is Security important

Microservice Security Principles

Microservice Security techniques

Access Tokens

OAuth 2.0

How to secure a Microservice using OAuth 2.0

Module 5: Microservices Testing

Testing scenarios and strategy

Test at Different Levels

Testing Best Practice for Microservices

Testing methodology

How to test Microservices

Module 6: Microservices Reference Architecture

Reference Architecture

Microservice Enabler

Microservices @ Netflix

Reading properties in various ways

Implementing config server

Setting up Discovery Server

Setting up Discovery Client

Overview of Actuator Endpoints

API Gateway and Dynamic Routing

Declarative Rest Client

Hystrix Fault Tolerance

Distributed Caching

Distributed Sessions

Need for Event Driven Systems

Building Event Driven Systems

Implementing Distributed Tracing

Understanding Metrics

Monitoring Microservices

Spring Boot Admin

Course 8

DevOps Live Projects

Here, at Croma Campus, you will get the opportunity to enroll in DevOps Live Projects.

Course Content

This training will comprise of up to 4 live projects respectively.

Master's Program Certificate

You will get certificate after completion of program

Course Structure

- 8 Months Online Program
- 120+ Hours of Intensive Learning
- 10+ Assigments & 4+ Projects
- 4 Live Projects

Career Assistance

- Build an Impressive Resume
- Get Tips from Trainer to Clear Interviews
- Attend Mock-Up Interviews with Experts
- Get Interviews & Get Hired

Get Ahead with Croma Campus master Certificate

Earn your certificate

Our Master program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and skill you've gained working on projects, simulation, case studies will set you ahead of competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.

SAMPLE CERTIFICATE

Industry Project

Real-life Case Studies

Work on case studies based on top industry frameworks and connect your learning with real-time industry solutions right away.

Best Industry-Practitioners

All of our trainers and highly experienced, passionate about teaching and worked in the similar space for more than 3 years.

Acquire essential Industrial Skills

Wisely structured course content to help you in acquiring all the required industrial skills and grow like a superstar in the IT marketplace.

Hands-on Practical Knowledge

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

Collaborative Learning

Take your career at the top with collaborative learning at the Croma Campus where you could learn and grow in groups.

Assignment & Quizzes

Practice different assignments and quizzes on different topics or at the end of each module to evaluate your skills and learning speed.

Placement & Recruitment Partners

Placement Assistance

We provide 100 percent placement assistance and most of our students are placed after completion of the training in top IT giants. We work on your resume, personality development, communication skills, soft-skills, along with the technical skills.

CAREERS AND SALARIES IN Master in DevOps Engineering

Demand for DevOps engineers is skyrocketing. According to a survey, there is a 75% increase in the listing of DevOps jobs on Indeed.com. Similarly, there is a 50% rise in the mention of DevOps as a required skill in job listings of LinkedIn. Furthermore, DevOps experts also get a handsome salary from their clients. As per a website (Glassdoor), a DevOps engineer can make around ₹4,00,000-₹16,00,000 PA. In other words, you can make hefty money as a DevOps engineer.

A DevOps engineer helps a firm understand DevOps methodology, processes, and tools. He also helps firms use the methodology for making the process of software development more efficient and quicker. Besides this, he is also responsible for data management/library updates. A DevOps expert must be proficient in coding/scripting. Furthermore, he must have knowledge of Python, Java, PHP, etc. On average a DevOps engineer can make around ₹4,00,000 to ₹16,00,000 PA.

An application developer is responsible for creating/testing apps. An application developer usually specializes in a particular development area like mobile app development or web app development. An application developer must be proficient in coding/testing apps. Furthermore, he must have knowledge of Python, Java/JavaScript, PHP, etc. On average an application developer can make around ₹3,00,000 to ₹14,00,000 PA.

Azure DevOps engineer is responsible for designing and implementing cloud solutions that are resilient, secure, and reliable. Furthermore, he designs/implements continuous delivery pipelines. A good Azure DevOps engineer must be an expert in software development and working with the Azure platform. On average an Azure DevOps engineer can make around ₹4,00,000 to ₹17,00,000 PA.

A software engineer analyses user requirements and develops apps and software for fulfilling them. Besides this, a software engineer writes/tests codes and creates reliable and secure software programs. He also maintains and monitors systems and corrects software defects. A proficient software engineer must be an expert in computer programming, OOD, testing/debugging, etc. On average a software engineer can make around ₹3,00,000 to ₹15,00,000 PA.

A DevOps specialist works closely with the development team to develop secure and reliable apps. Besides this, he is responsible for connecting core application elements like APIs, SDKs, libraries, etc. A DevOps specialist also builds automated management features. A DevOps specialist must be proficient in coding/scripting. Furthermore, he must have knowledge of Python, Java, PHP, etc. On average a DevOps specialist can make around ₹4,00,000 to ₹14,00,000 PA.

RECRUITMENT PARTNERS

On the completion of the course, you may work in various domains like manufacturing, It, healthcare, telecom, and more. Also, most of the students get 200 percent hike after completing this course. The average you will get 6 lac p.a. and for a little more efforts you may acquire salary packages up to 12 lacs p.a.

Admission Process

Important Date & Time

You can apply for the master program online at our site. Mark the important date and time related to the program and stay in touch with our team to get the information about the program in detail.

Enrollment Criteria

Once you submit your profile online, it will be reviewed by our expert team closely for the eligibility like graduation degree, basic programming skills, etc. Eligible candidates can move to the next step quickly.

Final Enrollment Process

Eligible candidates have to appear for the online assessment based on your graduation and basic programming knowledge. Candidates who clear the exam will appear for the interview and finally they can join the program.

WEEKDAY

Rs.47,500 ~~Rs.50000~~

16-Dec-2024*

Take class during weekdays and utilize your weekend for practice.

Get regular training by Industry Experts.

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