Croma Campus offers the master program for DevOps Engineering which helps student to get the knowledge in the DevOps.
Excluding GST
Assistance
Master in DevOps Engineering in India- 2010-2024
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
₹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.
Master in DevOps Engineering
Croma Campus offers the master program for DevOps Engineering which helps student to get the knowledge in the DevOps..
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.
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+918287060032Tools Covered of Master in DevOps Engineering
Master in DevOps Engineering Curriculum
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
- Git
- 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
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
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
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
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
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
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
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
- - 8 Months Online Program
- - 120+ Hours of Intensive Learning
- - 10+ Assigments & 4+ Projects
- - 4 Live Projects
- - 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
Our Master program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and skill you've gained working on projects, simulation, case studies will set you ahead of competition.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
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
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.
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.
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 & TimeYou 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 ProcessEligible 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.
₹ 47,500 (Excluding of GST)
Frequently Asked Questions
- Passion for learning
- Go-getter attitude
- Basic computer knowledge
- Basic knowledge of DevOps concepts/processes
- Unifies development teams as well as processes
- Empowers users to create apps at a faster pace
- Reduces chances of Implementation failure
- Reduce development cost
- DevOps engineer
- Application developer
- Azure DevOps engineer
- Software engineer
- DevOps specialist
As a DevOps engineer, you can make around ₹4,00,000 to ₹16,00,000 PA.
As a DevOps engineer, you can make around $133,378 PA in the USA and £80,000 in the UK.
- 100% placement support
- Resume building
- Personality development
- Soft-skills development
- Mock interviews
- Technical skills development
If you like our Curriculum
What You will get Benefit
from this Program
- Simulation Test Papers
- Industry Case Studies
- 61,640+ Satisfied Learners
- 140+ Training Courses
- 100% Certification Passing Rate
- Live Instructor Online Training
- 100% Placement Assistance
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
.svg)
Interested in Master in DevOps Engineering Course? 
+91-971 152 6942
Master in Cloud Computing Training