Module 1: Linux Administration

Linux File System & Core Concepts

• Linux architecture & directory structure

• File types

• File operations: create, copy, move, delete

• Inodes & file metadata

Disk & Storage

• Disk partitions & mounting

• LVM basics

• Log files & troubleshooting

User & Group Management

• Users, groups & permissions model

• Creating users & groups

• Password policies & account aging

• Sudo access & privilege escalation

Permissions & Ownership

• Read, write, execute permissions

• Symbolic & numeric permissions

• chown, chgrp, umask

• Special permissions (SUID, SGID, Sticky bit)

Process & System Management

• Process lifecycle & signals

• CPU & memory monitoring

• Job control (foreground/background)

• Cron jobs & scheduling

Networking & Services

• Network commands & troubleshooting

• SSH configuration

• Service management (systemctl)

Module 2: Git & GitHub

Git Fundamentals

• Git architecture & workflow

• Working tree, staging & repository

• Git lifecycle

Branching & Merging

• Branch creation & management

• Fast-forward merge

• 3-way merge

Advanced Git

• Standard rebase

• Interactive rebase (squash, reorder, edit)

• Cherry-pick

• Reset (soft, mixed, hard)

• Restore & revert

• Conflict resolution

GitHub Practices

• Pull Requests (PR)

• Code reviews

• Branch protection rules

• GitFlow & trunk-based strategies

Module 3: Terraform (Infrastructure as Code)

Core Concepts

• Providers & resources

• Variables & outputs

• State files

Advanced Terraform

• Count & length functions

• Object-level variables

• Multiple workspace handling

• Modules (reusable infrastructure)

Provisioning & Backend

• Remote-exec & local-exec

• File provisioner

• Null resources

• Remote backend with S3

• State locking

• Terraform Key Vault integration

Module 4: Docker & Containerization

Docker Fundamentals

• Docker architecture

• Images & containers

• Docker CLI

Dockerfiles

• Single-stage Dockerfile

• Multi-stage Dockerfile

• Java Dockerfile

• Python Dockerfile

• .NET Dockerfile

• Node.js Dockerfile

Volumes & Networking

• Docker volumes & bind mounts

• Container networking architecture

Docker Compose

• Multi-container applications

• Compose file structure

Docker Security

• Docker secrets

• Best practices

Module 5: Ansible Automation

• Control node & managed nodes

• Agentless architecture (SSH-based)

• Inventory, modules & plugins

• Idempotency

• YAML-based automation

Ansible Playbooks

• Playbook structure

• YAML syntax & best practices

• Task execution flow

Module 6: Kubernetes

Architecture

• Master & worker components

• API server, scheduler, etcd

Manifests & YAML

• YAML structure & best practices

• Using official Kubernetes documentation

Workloads & Services

• Pods

• ReplicaSets

• Deployments

• Services (ClusterIP, NodePort, LoadBalancer)

Storage in Kubernetes

• Persistent Volumes (PV)

• Persistent Volume Claims (PVC)

• Storage Classes (SC)

Configuration & Security

• ConfigMaps

• Secrets

• Namespaces

• Labels & annotations

Scheduling & Networking

• Taints & tolerations

• Node affinity

• Pod affinity & anti-affinity

• Network policies

Deployment Strategies

• Rolling update

• Recreate

• Canary deployment

• Blue-Green deployment

Module 7: CI/CD Tools

Jenkins

• Jenkins architecture

• Declarative & scripted pipelines

• Jenkinsfile

GitHub Actions

• Workflow automation

• YAML pipelines

Azure DevOps

• Pipelines

• Build & release strategies

Module 8: Monitoring & Logging

Prometheus & Grafana

• Prometheus architecture

• Metrics collection

• Alerting

• Grafana dashboards

ELK Stack

• Elasticsearch

• Logstash

• Kibana

• Centralized logging & visualization

Module 9: Cloud & Security

Identity & Access Management

• Users, roles & policies

• Access control & security best practices

Compute Services

• Virtual machines

• Auto scaling concepts

Storage Services

• Object, block & file storage

Networking

• VPC / VNet

• Subnets & routing

• Load balancers

Monitoring & Security

• Cloud monitoring services

• Logging & alerts

Capstone Project

• End-to-end DevOps pipeline

• Infrastructure provisioning using Terraform

• Docker containerization

• Kubernetes deployment

• CI/CD with Jenkins/GitHub Actions

• Monitoring with Prometheus & Grafana

• Logging with ELK Stack

Real-Time Projects

You will work on industry-based real-time projects including:

• Web-based applications

• Enterprise business applications

• REST API–based systems

• End-to-end DevOps pipelines

Each project follows the complete SDLC cycle:
✔ Requirement analysis
✔ Infrastructure setup
✔ CI/CD pipeline creation
✔ Automation & configuration
✔ Testing
✔ Deployment & monitoring

🎯 Career Opportunities

After completing this DevOps program, you can apply for:

• DevOps Engineer

• Cloud Engineer

• Site Reliability Engineer (SRE)

• Build & Release Engineer

• Platform Engineer

• Automation Engineer

Industries You Can Work In

• IT Services Companies

• Software Product Companies

• Banking & Finance

• Healthcare

• E-commerce

• SaaS Companies

• Telecom & Cloud Service Providers

Who Can Join This Program?

• Fresh Graduates (Any Stream)

• Final Year Students

• Career Switchers (Non-IT to IT)

• Working Professionals

• Manual Testers / Support Engineers

• System Administrators

• Entrepreneurs & Freelancers

No coding background required
Basic computer knowledge is enough

⭐Program Benefits

• Industry-oriented curriculum

• Hands-on practical training

• Real-time project exposure

• Resume preparation support

• Interview guidance

• Placement assistance

• Flexible batch timings

• Expert DevOps trainers