DevOps Training

Become a job-ready DevOps Engineer by learning automation, cloud computing, CI/CD pipelines, infrastructure as code, containerization, and deployment strategies used in modern enterprises.

Average Salary Package

₹3.5 - ₹18 LPA
  • 100% Placement Assistance
  • Live Projects
  • Industry-Recognized Certification
  • Learn from Expert Mentors
DevOps Training
Course Content

DevOps & Cloud Engineering Training

Master the complete DevOps lifecycle — from source code management to continuous deployment. This industry-oriented DevOps training program covers Linux administration, Git & version control, CI/CD automation, containerization with Docker & Kubernetes, Infrastructure as Code, cloud platforms (AWS & GCP), monitoring, and security. Designed with input from hiring managers at top MNCs and Fortune 500 companies, this course turns beginners into production-ready DevOps Engineers.

Why Learn DevOps?

Modern companies release software multiple times a day. DevOps bridges the gap between development and operations, enabling faster, safer, and more reliable software delivery. Organizations across every industry — from startups to Fortune 500 enterprises — are actively hiring skilled DevOps Engineers to automate deployments, reduce downtime, and scale infrastructure efficiently. This makes DevOps one of the highest-paying and most in-demand career paths in IT today.

Curriculum Highlights

What You'll Learn

Understand the complete DevOps lifecycle from source code to continuous deployment
Master Linux administration, shell scripting, process management & server hardening
Use Git and GitHub to manage source code and collaborate with teams
Build automated CI/CD pipelines using GitHub Actions, Jenkins & GitLab CI
Containerize applications using Docker and Docker Compose
Deploy & manage Kubernetes with Helm Charts, ConfigMaps, Secrets & Auto Scaling
Design cloud infrastructure on AWS (EC2, VPC, IAM, S3, RDS, CloudFront, Lambda, EKS)
Provision infrastructure with Terraform and automate config with Ansible
Implement GitOps workflows using ArgoCD for automated deployments
Monitor applications with Prometheus, Grafana, Loki & the ELK Stack
Secure cloud infrastructure with IAM, Secrets Management & vulnerability scanning
Deploy full-stack, production-ready applications using real DevOps pipelines
Hands-On Stack

Technologies & Tools Covered

During this training, you'll gain hands-on experience with the same DevOps tools trusted by startups, enterprises, and Fortune 500 companies — preparing you to walk into any DevOps role with real, job-ready skills.

Version Control

Git · GitHub · GitLab

Containers

Docker · Docker Compose · Docker Hub

Container Orchestration

Kubernetes · Helm · ArgoCD

Infrastructure as Code

Terraform · Ansible

CI/CD

GitHub Actions · Jenkins · GitLab CI

Monitoring

Prometheus · Grafana · ELK Stack · Loki

Cloud Platforms

AWS · Google Cloud · Microsoft Azure (Overview)

Networking

DNS · HTTP/HTTPS · Load Balancing · SSL/TLS

Operating Systems

Linux · Bash Scripting · SSH

Cloud Platforms

Learn how to deploy scalable, production-ready applications on the world's leading cloud providers. The course includes extensive hands-on experience with Amazon Web Services (AWS) and Google Cloud Platform (GCP) — covering compute, networking, storage, databases, serverless computing, Kubernetes, monitoring, and security. You'll also get an overview of Microsoft Azure to understand multi-cloud architectures used in modern enterprises.

Practical Application

Hands-on Projects

01Deploy a MERN application using Docker and Nginx
02Create an automated CI/CD pipeline with GitHub Actions
03Deploy applications on Kubernetes using Helm Charts
04Provision AWS infrastructure using Terraform
05Deploy a scalable application on Google Kubernetes Engine (GKE)
06Configure monitoring dashboards using Prometheus and Grafana
07Implement GitOps deployments using ArgoCD
08Build a production-ready cloud infrastructure with AWS and Terraform
Stay Ahead

Latest Industry Trends Included

GitOps & Platform Engineering Infrastructure as Code (IaC) Kubernetes & Cloud-Native Apps DevSecOps & Container Security AI-assisted DevOps (Copilot, ChatGPT, Amazon Q) Observability & OpenTelemetry Serverless Computing Multi-Cloud Deployments Production Monitoring & Incident Response
Where This Leads

Career Opportunities

After completing this training, you'll be prepared for roles such as:

DevOps Engineer Cloud Engineer AWS Engineer GCP Engineer Site Reliability Engineer (SRE) Platform Engineer Infrastructure Engineer Build & Release Engineer Cloud Consultant DevSecOps Engineer
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100% Practical Training

Focus on hands-on coding and implementation from day one.

Industry Projects

Work on real-world datasets and production-level AI problems.

Interview Preparation

Mock interviews and technical round practice with mentors.

Resume Building

Crafting AI-focused profiles that attract top-tier recruiters.

Global Certification

Earn a recognized certificate to validate your AI expertise.

Placement Support

Access to our network of 500+ hiring partners in tech.
Course Curriculum

Complete DevOps Engineer Learning Path

Master modern DevOps practices step-by-step—from Linux administration and cloud infrastructure to CI/CD, Kubernetes, Infrastructure as Code, monitoring, and production deployments.

01
Linux Administration & Shell Scripting DevOps Foundation

Learn Linux commands, file system management, permissions, package management, networking basics, process management, Bash scripting, cron jobs, and automation techniques essential for every DevOps engineer.

02
Git & GitHub Version Control Source Code Management
  • Git Fundamentals
  • Branching & Merging
  • GitHub Repositories
  • Pull Requests
  • Conflict Resolution
  • Git Workflows
03
Networking & DevOps Fundamentals Infrastructure Basics
  • TCP/IP & HTTP/HTTPS
  • DNS & Load Balancing
  • SSH & Remote Access
  • Firewalls
  • Reverse Proxy
  • Network Troubleshooting
04
Cloud Computing with AWS Cloud Infrastructure
  • AWS EC2
  • VPC & Networking
  • IAM Users & Roles
  • S3 Storage
  • CloudWatch
  • Elastic Load Balancer
05
CI/CD with Jenkins Automation Pipeline
  • Jenkins Installation
  • Pipeline as Code
  • Freestyle Jobs
  • Automated Build & Test
  • Deployment Pipelines
  • GitHub Integration
06
Docker & Containerization Application Containers
  • Docker Architecture
  • Docker Images
  • Containers
  • Docker Compose
  • Volumes & Networks
  • Container Best Practices
07
Kubernetes Container Orchestration
  • Pods & Deployments
  • ReplicaSets
  • Services & Ingress
  • Namespaces
  • ConfigMaps & Secrets
  • Helm Charts
08
Infrastructure as Code Terraform & Ansible
  • Terraform Basics
  • AWS Infrastructure Provisioning
  • State Management
  • Ansible Playbooks
  • Configuration Management
  • Infrastructure Automation
09
Monitoring & Logging Observability
  • Prometheus
  • Grafana Dashboards
  • ELK Stack
  • Log Management
  • Alerts & Notifications
  • Performance Monitoring
10
DevSecOps & Security Secure Deployments
  • IAM Best Practices
  • Secrets Management
  • Container Security
  • Vulnerability Scanning
  • CI/CD Security
  • Cloud Security Fundamentals
11
Production Deployment Projects Real-World DevOps
  • Deploy MERN Applications
  • Deploy Laravel Applications
  • Deploy Microservices
  • Blue-Green Deployment
  • Rolling Updates
  • Zero Downtime Deployment
12
Interview Preparation & Capstone Project Career Ready

Build an enterprise-grade DevOps pipeline using Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, and AWS. Finish with resume building, mock interviews, scenario-based troubleshooting, and real-world DevOps project deployment.

View Detailed Curriculum →

Structured, Module-by-Module Learning

Tools & Technologies You'll Master

aws
AWS
bootstrap
BOOTSTRAP
next
NEXT
nuxt
NUXT
react
REACT
svelte
SVELTE
tailwind-css
TAILWIND-CSS

Projects You Will Build

CI/CD Pipeline Automation
CI/CD Pipeline Automation

Build a complete CI/CD pipeline using GitHub, Jenkins, Docker, and AWS to automate code integration, testing, deployment, and release management.

Containerized Web Application Deployment
Containerized Web Application Deployment

Deploy a multi-container application using Docker, Docker Compose, and Kubernetes while implementing scalability, networking, and monitoring solutions.

Infrastructure as Code Platform
Infrastructure as Code Platform

Provision and manage cloud infrastructure on AWS using Terraform and Ansible, automating server creation, networking, security, and configuration management.

Your Path to Success

Follow a structured roadmap designed to make you industry-ready.

1
Choose Course
2
Attend Training
3
Complete Assignments
4
Build Real Projects
5
Get Mentorship
6
Interview Prep
7
Launch Career

Frequently Asked Questions

DevOps is a set of practices that combines software development and IT operations to build, test, and deploy applications faster.

This course is ideal for students, IT professionals, developers, system administrators, and anyone interested in cloud and automation technologies.

Basic knowledge of Linux and programming is helpful, but not mandatory. The course starts with the fundamentals.

You'll learn Git, GitHub, Docker, Kubernetes, Jenkins, AWS, Linux, Ansible, Terraform, and CI/CD pipelines.

Yes. The training includes practical labs, real-world scenarios, and live projects to help you gain industry experience.

Yes. The curriculum is designed for both beginners and experienced professionals looking to upgrade their skills.

Yes. You'll receive a course completion certificate after successfully finishing the training.

Yes. We offer resume guidance, interview preparation, and placement support to help you start your DevOps career.

After completing the course, you can apply for roles such as DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), Build & Release Engineer, and Automation Engineer.

STUDENT SUCCESS STORIES

What Our Students Say

Thousands of learners have upgraded their skills through our practical training programs. Here's what they say about their experience.

AS
Akash Sharma
Full Stack Development

I joined with only basic coding knowledge and was nervous about building projects. The trainers guided me step by step, and by the end of the course I had completed several real-world applications. The practical learning approach helped me gain confidence in my development skills.

PV
Priya Verma
Data Science & AI

The best part of this training was working on real datasets instead of only learning theory. Every concept was explained with practical examples, which made it easier to understand. The projects helped me develop a strong foundation in data analysis and machine learning.

SS
Sahil Singh
AWS Cloud Computing

Before joining, cloud computing seemed difficult to understand. The hands-on labs and project work made everything much clearer. I learned how to work with AWS services and gained practical experience that I can confidently apply in real-world environments.

RS
Rahul Singh
DevOps Engineer

This course gave me a good understanding of modern DevOps practices. Working with Git, Docker, and CI/CD pipelines helped me learn how development and deployment processes work together. The practical sessions were extremely valuable throughout the training.

SK
Shivani Kaur
Digital marketing

I wanted a course that focused on practical marketing skills, and this training met my expectations. Learning SEO, content marketing, and social media strategies through real examples made the concepts easy to understand and apply confidently.

GB
Gaurav Bisht
JAVA Development

The Java training was well organized and beginner-friendly. The coding exercises and project work helped me improve my programming skills significantly. I also gained more confidence in solving technical problems and preparing for interviews.

PK
Priyansh Kumar
Full Stack Web Development

Building complete web applications during the course was a great learning experience. The trainers explained both frontend and backend concepts clearly, and every module included practical assignments that helped reinforce the concepts effectively.

AK
Aman Khanna
IT Security & Ethical Hacking

The practical labs made this course stand out for me. Instead of only learning theory, we explored real security concepts through hands-on exercises. The training provided a solid understanding of cybersecurity fundamentals and ethical hacking techniques.

NS
Neha Sharma
Linux Administration

I had very limited experience with Linux before enrolling in this course. The trainers explained every topic in a simple manner, and the hands-on exercises helped me understand server management, shell scripting, and administration tasks more effectively.

PR
Priya Rani
AWS Cloud Computing

The training sessions were interactive and focused heavily on practical implementation. Setting up and managing cloud resources helped me understand AWS services in a much better way. The projects added valuable real-world experience to the learning process.

SK
Simran Kaur
Microsoft Azure Cloud

This course helped me understand Azure services through practical examples and guided exercises. The labs were easy to follow and gave me confidence in working with cloud technologies. I found the overall learning experience very useful.

AR
Aisha Rana
UI/UX Design

The course provided a great balance between theory and practical work. Creating wireframes, user flows, and prototypes helped me understand the complete design process. The feedback from mentors was helpful and improved my design thinking significantly.

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