DEVOPS

★★★★★

(2,095 ratings) 50,000+ Student

DEVOPS - COMPLETE DEVOPS

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. It supports team empowerment, cross-team communication and collaboration, and technology automation. Audience: Developers, Network Admins, Database Admins, System Admins, Application Support, or anyone transitioning into DevOps Mode: Mixed (Pre-recorded + Live)

Radical Technologies

50,000+ English 70 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 70 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

47 sections covering the complete curriculum — a single, progressive learning arc.

70 hours

Training Duration

Core Modules

361

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a DEVOPS role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

47 sections • 361 lessons • 70 hours

Jump to Section

Total Duration

70 hours

100% Practical · Unlimited Doubt Sessions

01 Linux Fundamentals for Devops Engineers

Duration: 12–15 Hours

Level: Beginner to Early-Intermediate

Pre-requisites: Basic IT knowledge

02 1. Linux & Cloud Overview

• Why Linux dominates Cloud platforms

• Linux distributions in Cloud

o Amazon Linux, RHEL, Ubuntu

• Linux vs Windows in cloud workloads

• SSH & key-based access concept

03 2. Linux Installation & Access (Cloud Context)

• Cloud VM concepts (EC2 / VM / Compute Engine)

• Connecting to Linux Cloud VMs

o SSH

o Key pairs (.pem / .ppk)

• Terminal basics

Hands-On

›• SSH to cloud Linux VM
›• Understand directory structure

04 3. Linux File System & Commands (Must-Know)

• Linux directory structure

• File & directory commands

o ls, cd, pwd

o cp, mv, rm

o touch, mkdir

• Viewing files

o cat, less, more, head, tail

• Search & filters

o grep, find

• File permissions

o chmod, chown

05 4. Users, Groups & Permissions

• Users & groups

• /etc/passwd, /etc/shadow, /etc/group

• Sudo access

• Secure permission practices in cloud

Hands-On

›• Create cloud admin user
›• Configure sudo access

06 5. Package Management

• Package managers

o yum, dnf, apt

• Installing, updating & removing packages

• Repositories concept

Hands-On

›• Install Apache / Nginx
›• Verify running services

07 6. Process & Service Management

• Linux processes

o ps, top, htop

• Service management

o systemctl

• Enable services at boot

• Troubleshooting crashed services

08 7. Networking Basics (Cloud-Relevant)

• IP addressing basics

• Check network info

o ip, ss, netstat

• DNS resolution

• Ports & firewall basics

o firewalld, iptables (intro)

• Security Groups vs Linux firewall

09 8. Storage & Disk Management

• Linux disk concepts

• Mounting file systems

• Cloud disks (EBS / Persistent Disk)

• Resize disks & file systems

Hands-On

›• Attach new disk & mount
›• Extend file system

10 9. Logs & Troubleshooting

• Log locations

o /var/log

• Important logs

o messages, secure, syslog

• Journal logs

o journalctl

• Basic troubleshooting approach

11 10. Automation Basics for Cloud

• Shell scripting fundamentals

• Environment variables

• Cron jobs

• Startup scripts (cloud bootstrapping)

12 11. Security Basics for Cloud Linux

• SSH hardening

• Disable root login

• Key-based authentication

• File permission best practices

13 12. Linux for DevOps & Cloud Tools

• Linux + Git basics

• Linux + Docker (intro)

• Linux + Cloud CLI tools

o AWS CLI / Azure CLI (concept)

14 Real-World Cloud Scenarios

• VM not reachable via SSH

• Disk full on cloud VM

• Service not starting after reboot

• High CPU usage troubleshooting

• Securing production Linux VM

15 Cloud Computing: AWS Fundamentals for Devops Engineers

• What is Cloud Computing

• What are different cloud vendors

• IAAS, PAAS, SAAS

• Public and Private Cloud

• AWS Infrastructure

• AWS Billing

• AWS Account Types

• AWS Support Center

• GitHub: https://github.com/aws

16 AWS Services

• IAM User, Group, Role, Policy Document, Access Key, Secret Access

Key

• S3 Bucket and Object

• EC2 Provisioning Linux virtual machine on AWS

• VPC Provisioning virtual network on AWS cloud

17 Module 1: Development Environment Setup

1. Install and configure Java 21 on Windows

2. Install and configure Maven

3. Install Git

4. Install Visual Studio Code (VSCode)

5. Install IntelliJ IDEA

6. Create a GitHub Account

7. Create a Free AWS Account

8. Install and configure AWS CLI

9. Create an IAM User and configure credentials

10. Generate GitHub Token

11. Create and initialize a GitHub Repository

18 🚀 Python Fundamentals for DevOps Engineers (15 Hours)

🚀 Focus:

Automation | Scripting | CI/CD | Cloud | Real-Time DevOps Tasks

Level: Beginner → Job-ready Basics

Approach: 70% Hands-on + 30% Theory

🚀 15-HOUR TRAINING BREAKDOWN

19 Module 1: Python Basics (Quick Start)

Duration: 2 Hours

Topics:

• Python installation & execution

• Variables, data types (int, string, boolean)

• Input/output operations

• Type casting

🚀 Assignments:

›• Script to print server details
›• Convert storage units (GB → MB)

🚀 Mini Task:

👉 CLI script to accept environment name (Dev/QA/Prod)

20 Module 2: Control Flow & Loops

Duration: 2 Hours

Topics:

• if-else conditions

• for & while loops

• Logical operators

🚀 Assignments:

›• Check server status (UP/DOWN simulation)
›• Loop through list of IPs

🚀 Mini Task:

👉 Basic server monitoring script

21 Module 3: Data Structures (DevOps Usage)

Duration: 2 Hours

Topics:

• Lists, dictionaries (most important)

• JSON handling (API responses)

🚀 Assignments:

›• Store server inventory in dictionary
›• Parse JSON data

🚀 Mini Task:

👉 Create mini inventory system (like Ansible)

22 Module 4: Functions & Reusability

Duration: 1.5 Hours

Topics:

• Functions, arguments, return values

• Code modularization

🚀 Assignments:

›• Function to check disk usage
›• Function to restart service

23 Module 5: File Handling & Logs

Duration: 2 Hours

Topics:

• Read/write files

• Log file parsing

🚀 Assignments:

›• Extract ERROR logs from file
›• Count failed login attempts

🚀 Mini Project:

👉 Log analyzer script

24 Module 6: OS & System Automation

Duration: 2 Hours

Topics:

• os, subprocess

• Running Linux commands via Python

• Environment variables

🚀 Assignments:

›• Check disk/memory usage
›• Restart services via script

🚀 Mini Project:

👉 System health check automation

25 Module 7: API Automation (Critical Skill)

Duration: 2 Hours

Topics:

• REST API basics

• requests module

• GET/POST calls

🚀 Assignments:

›• Fetch API data
›• Trigger Jenkins job using API

🚀 Mini Project:

👉 API-based deployment trigger tool

26 Module 8: Python with AWS (Intro)

Duration: 1.5 Hours

Topics:

• Introduction to Boto3

• EC2 & S3 automation basics

🚀 Assignments:

›• Launch EC2 (demo script)
›• Upload file to S3

27 🚀 Final Capstone (hands-on –1 Hour)

🚀 Project:

👉 “DevOps Automation Script”

Features:

• Read server list from file

• Check server health

• Log output

• Trigger deployment via API

28 Module 1: Development Environment Setup

✅Assignments:

›• Install Java, Maven, Git, AWS CLI
›• Create GitHub repo & push sample code
›• Configure IAM user with CLI access

🚀 Mini Project:

👉 Setup complete DevOps developer environment and push a sample Java

app

🚀 Scenario:

›• Onboarding new developer into enterprise DevOps environment

29 Module 2: Monolith and Microservices

Overview: Learn to develop microservices from scratch using Java,

compile, package, and run microservices locally using Maven.

Hands-on: Build and test your microservices in a local environment with

›practical implementation exercises.
›• Develop microservices from scratch using Java
›• Compile, package, and run microservices on local machine using
›Maven
›• Test your microservices locally

• GitHub: https://github.com/spring-projects/spring-boot

✅Assignments:

• Convert monolithic app into 2 microservices

• Build using Maven

🚀 Project:

👉 Build E-commerce Microservices (Product + Order Service)

🚀 Scenario:

›• Migrating legacy banking application to microservices

30 Module 3: Source Version Control

Git: Essential distributed version control system for tracking code changes

and collaboration.

Skills: Master virtual staging area, branching, merging, and essential Git

operations for professional development workflows.

• Git: DVCS, virtual area, Git operations

• GitHub: https://github.com/git/git

✅Assignments:

›• Branching strategies (feature, release, hotfix)
›• Pull request + code review workflow

🚀 Project:

👉 Implement GitFlow strategy for microservices project

🚀 Scenario:

›• Handling multiple developers working on same repo

31 Module 4: Source Code Management

GitHub: Industry-standard platform for hosting Git repositories and

enabling team collaboration.

Features: Learn repository management, branching strategies, code

reviews, and automated workflows for efficient project delivery.

• GitHub: Public and Private Repositories, branching strategies, code

promotions, webhooks, branch permissions, best practices

• GitHub: https://github.com/github

32 Module 5: Build Tools

Maven: Powerful build automation tool that simplifies Java project

management and dependency resolution.

Mastery: Configure POM files, manage dependencies, plugins, and

repositories for streamlined development and deployment processes.

• Maven: Build automation using pom.xml, dependencies, plugins,

settings.xml, repository

• Compile, package, and run Java-based microservices using Maven

• Local repo, central repo, remote repo

• GitHub: https://github.com/apache/maven

✅Assignments:

›• Create custom pom.xml
›• Dependency management

🚀 Project:

👉 Automate build & packaging for microservices

🚀 Scenario:

›• Fixing build failures due to dependency conflicts

33 Module 6: Core CI/CD with Jenkins

Jenkins: Leading open-source automation server that enables continuous

integration and deployment pipelines.

Implementation: Set up Jenkins on AWS EC2, configure plugins, manage

secrets, and create automated build triggers for efficient software delivery.

• Jenkins: Installation of Jenkins on AWS EC2

• Jenkins Plugins, Tools Configuration, Secrets Configuration, Build

triggers

• Jenkins CLI

• Declarative Pipeline: Syntax for defining Jenkins CI/CD steps using

code

• Parameterized Pipeline

• Jenkins Master-Slave Architecture

• Jenkins User Administration

• GitHub: https://github.com/jenkinsci/jenkins

✅Assignments:

• Create freestyle + pipeline jobs

• Parameterized builds

🚀 Project:

👉 Build End-to-End CI Pipeline

• Code → Build → Test → Package

🚀 Scenario:

• Fix broken CI pipeline in production

34 Module 7: Containerization using Docker

Docker: Revolutionary containerization platform that packages

applications with their dependencies for consistent deployment across

environments.

Expertise: Master Dockerfile creation, image management, container

orchestration, networking, and storage solutions for modern application

deployment.

• Dockerfile

• Docker images

• Docker containers

• Docker registry

• Docker daemon

• Docker network

• Docker volume

• Docker operations

• Linux Kernel Features: Namespace, Cgroup, IPTables

• GitHub: https://github.com/docker/docker-ce

✅Assignments:

›• Create Dockerfile for Java app
›• Manage volumes, networks

🚀 Project:

👉 Containerize microservices application

🚀 Scenario:

›• Debug container crash in production

35 Module 8: Managed and Unmanaged Artifact Repositories

Docker Hub: Cloud-based registry service for sharing and managing

Docker container images globally.

Features: Learn image publishing, automated builds, and integration with

CI/CD pipelines for seamless container distribution.

• Create repository on Docker Hub and manually update Docker

images

• Integrate with Jenkins CI pipeline to push images automatically

• GitHub: https://github.com/docker/hub-feedback

AWS ECR: Amazon’s fully managed Docker container registry with

integrated security scanning and seamless AWS service integration.

• Create repository on AWS ECR and push images manually

• Integrate with Jenkins CI pipeline to push images automatically

• GitHub: https://github.com/aws/amazon-ecr-cli

Nexus: Universal artifact repository manager that supports multiple

package formats and provides advanced security features.

• Install and configure Nexus on AWS EC2

• Configure S3 backend for Nexus

• Create Docker repository on Nexus

• GitHub: https://github.com/sonatype/nexus-public

✅Assignments:

›• Push images to Docker Hub & AWS ECR
›• Configure Nexus repo

🚀 Project:

👉 Centralized artifact management system

🚀 Scenario:

›• Secure artifact storage for enterprise apps

36 Module 9: Continuous Code Inspection Tool

SonarǪube: Comprehensive code quality platform that performs static

analysis to detect bugs, vulnerabilities, and technical debt.

• Install and configure SonarǪube on AWS EC2

• Integrate SonarǪube with Jenkins CI pipeline for automated code

quality analysis

• GitHub: https://github.com/SonarSource/sonarqube

✅Assignments:

›• Setup SonarQube
›• Analyze code via Jenkins

🚀 Project:

👉 Integrate Quality Gates in CI/CD

🚀 Scenario:

›• Reject deployment due to code vulnerabilities

37 Module 10 Infrastructure as Code with Terraform

Terraform: HashiCorp’s infrastructure provisioning tool that enables

declarative resource management across multiple cloud providers.

Automation: Build scalable, version-controlled infrastructure using HCL

syntax, modules, and state management for reliable deployment

processes

• Terraform: IaC tool to provision and manage cloud resources

declaratively

• Terraform providers

• Terraform blocks: provider{}, terraform{}, resource{}, variable{},

data{}, output{}

• Terraform alias

• Terraform tfvars

• Terraform dependency: implicit and explicit

• Terraform provisioning: local and remote

• Terraform Modules C Backend: Modular, reusable infrastructure with

remote state using S3

• Terraform Jenkins Integration: Automate provisioning using Jenkins

pipelines

GitHub: https://github.com/hashicorp/terraform

✅Assignments:

›• Create EC2, VPC via Terraform
›• Use variables & modules

🚀 Project:

👉 Build Reusable Terraform Modules

🚀 Scenario:

›• Provision infra for 10 environments (dev, QA, prod)

38 Module 11: Configuration Management with Ansible

Ansible: Red Hat’s agentless automation platform that simplifies

configuration management, application deployment, and orchestration.

Automation: Implement infrastructure automation using YAML playbooks,

roles, and inventories for consistent system configuration and deployment.

Ansible Concepts:

• Ansible architecture and components

• Ansible installation and setup

• Ansible ad-hoc commands for quick tasks

• Ansible playbooks for complex automation workflows

• Ansible roles for reusable automation components

GitHub: https://github.com/ansible/ansible

✅Assignments:

›• Write playbooks for server setup
›• Configure roles

🚀 Project:

👉 Automated server configuration (Web + DB servers)

🚀 Scenario:

›• Patch 100 servers automatically

39 Module 12: Container Orchestration with Kubernetes

Kubernetes: Google-originated container orchestration platform that

automates deployment, scaling, and management of containerized

applications.

Orchestration: Master cluster architecture, workload management,

service discovery, and auto-scaling for production-ready container

environments.

1. Kubernetes Architecture

• Control Plane C Worker Nodes

• Kube API Server, Kube Scheduler, Kube Controller, Cloud Controller,

etcd

• Container Runtime, Kubelet, Kube-Proxy

• Kubectl C Kubeconfig

2. Kubernetes Cluster Setup

• Cluster Creation on AWS EKS and kops

• Private AWS EKS Cluster Creation using Terraform

3. Kubernetes Objects

• Namespace, Service, Ingress

• Deployment, Pod Management (create, scale, update)

• ConfigMap, DaemonSet, StatefulSet

• NodeSelector, PersistentVolume (PV), PersistentVolumeClaim (PVC)

• Horizontal Pod Autoscaler (HPA)

4. Scaling G Autoscaling: Cluster Autoscaler , Karpenter and KEDA

(Kubernetes Event-driven Autoscaling)

5. Kubernetes Upgrades: Cluster Upgrade and Rolling Upgrade

GitHub: https://github.com/kubernetes/kubernetes

✅Assignments:

›• Deploy pods, services, ingress
›• Setup HPA

🚀 Project:

👉 Deploy microservices on AWS EKS

🚀 Scenario:

›• Fix pod crashloop / memory issues

40 Module 13: Observability and Monitoring

Prometheus: Open-source monitoring system with powerful time-series

database and flexible query language for metrics collection.

Monitoring: Implement comprehensive application and infrastructure

monitoring with alerting capabilities for proactive system management.

Prometheus:

• Installation of Prometheus on AWS EKS using Helm 3

• Configure ingress endpoint for Prometheus

• Monitoring system for collecting and querying metrics

GitHub: https://github.com/prometheus/prometheus

Grafana: Feature-rich visualization platform that creates interactive

dashboards and alerts from multiple data sources.

Visualization: Build stunning, real-time dashboards that provide

actionable insights into system performance and business metrics.

Grafana:

• Installation of Grafana on AWS EKS using Helm 3

• Configure ingress endpoint for Grafana

• Visualization tool to create dashboards from various data sources

GitHub: https://github.com/grafana/grafana

✅Assignments:

›• Setup dashboards
›• Configure alerts

🚀 Project:

👉 End-to-End Monitoring Dashboard

🚀 Scenario:

›• Detect CPU spike and alert SRE team

41 🚀 Final Capstone Projects (Industry Level)

🚀 Project 1: End-to-End DevOps Pipeline

• Git → Jenkins → Docker → ECR → Kubernetes → Monitoring

🚀 Project 2: Terraform + Jenkins Automation

• Infra provisioning via pipeline

🚀 Project 3: Microservices Deployment on Kubernetes

• Multi-branch CI/CD pipeline

🚀 Project 4 (ADVANCED – HIGH VALUE)

👉 Production Simulation Project

• High traffic simulation

• DB tuning

• Auto scaling

• Incident handling

42 🚀 EXTRA 50+ REAL-TIME SCENARIOS

🚀 Examples:

• Jenkins pipeline failure after plugin update

• Kubernetes node failure

• Docker image vulnerability

• AWS billing spike issue

• PostgreSQL slow query during peak hours

• Replica lag in production

• Terraform state corruption

43 🚀 Deliverables

• ✅Resume-ready 4 Projects

• ✅CI/CD Pipeline Templates

• ✅Terraform Modules

• ✅Kubernetes YAMLs

• ✅Incident Runbook

• ✅Monitoring Dashboards

44 🚀 Final Outcome

After this training, candidates can apply for:

• DevOps Engineer

• Site Reliability Engineer (SRE)

• Cloud Engineer

• Platform Engineer

• Production Support Engineer

45 🚀 BONUS (If you want next level)

I can further enhance this into:

• 👉 Day-wise 100-hour trainer plan

• 👉 Lab manual (step-by-step commands)

• 👉 Interview Q&A (200+ questions)

• 👉 Hands-on exam / mock assessment

• 👉👉 Placement-focused resume + LinkedIn kit

46 Additional Tools (if batch will perform all labs only then)

Packer: HashiCorp’s tool for creating identical machine images across

multiple platforms from a single source configuration.

Image Management: Automate the creation of golden AMIs with preinstalled software and configurations for consistent, secure deployments.

• Automatesthe creation of Golden AMI on AWS

GitHub: https://github.com/hashicorp/packer

ArgoCD: GitOps continuous delivery tool that automatically synchronizes

Kubernetes applications with Git repository configurations.

GitOps: Implement declarative application delivery with automated

synchronization, rollback capabilities, and visual deployment tracking for

Kubernetes environments.

ArgoCD:

• Deploy ArgoCD on AWS EKS cluster

• Configure ingress endpoint for ArgoCD

• GitOps continuous delivery for Kubernetes

GitHub: https://github.com/argoproj/argo-cd

47 Major Projects

Project 1: Private AWS EKS Cluster using Terraform

Objective: Build a production-ready private EKS cluster with complete

infrastructure automation.

Skills: Advanced Terraform configuration, AWS networking, Kubernetes

cluster setup, and security best practices.

Project 2: Terraform Module Development and AWS Resource Deployment

via Jenkins Pipeline

Objective: Create reusable Terraform modules and automate

infrastructure deployment through Jenkins CI/CD pipelines.

Skills: Modular infrastructure design, Jenkins integration, automated

testing, and Infrastructure as Code best practices.

Project 3: Multi-branch Jenkins Pipeline for Container Microservices

Deployment on Kubernetes

Objective: Implement a complete CI/CD pipeline that automatically

builds, tests, and deploys microservices to Kubernetes based on Git

branch strategies.

Skills: Advanced Jenkins pipelines, containerization, Kubernetes

deployments, and GitOps workflows.

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

361+

Hands-On Lessons

Core Modules

70 hours

Training Duration

100%

Practical Training

You don't just learn DEVOPS - COMPLETE DEVOPS. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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