Devops Training

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DevOps Training

At CyberMind IT Solution Software Training Institute, our DevOps Course is designed to help you gain expertise in the tools and practices that connect development and operations. This training empowers you to automate workflows, improve system reliability, and deliver high-quality applications faster — just like top global tech companies do.

DevOps is the culture and practice of uniting software development and IT operations to shorten the system development lifecycle while delivering continuous integration, deployment, and monitoring. It enables faster releases, better collaboration, and more secure infrastructure — a must-have skill in modern IT industries.

Who Can Join This Course?

  • Software Developers or Testers
  • System / Network Administrators
  • Cloud Professionals
  • IT Graduates and Freshers aiming to build a strong DevOps career
  • Anyone passionate about automation and modern infrastructure

What You will Learn in This Course

Our structured modules cover both theory and practice, including:

  • Linux & Shell Scripting Basics – Foundations for automation and system management.
  • Version Control with Git & GitHub – Manage source code efficiently with collaboration.
  • Continuous Integration (CI) – Set up Jenkins pipelines for automated testing and builds.
  • Continuous Deployment (CD) – Deploy applications using automated pipelines.
  • Containerization with Docker & Kubernetes – Build scalable and portable applications.
  • Cloud Integration (AWS / Azure / GCP) – Work with real-time cloud environments.
  • Infrastructure as Code (IaC) – Use Terraform and Ansible to automate infrastructure provisioning.
  • Monitoring & Logging – Gain visibility using Prometheus, Grafana, and ELK Stack.
  • DevSecOps Concepts – Integrate security throughout your CI/CD pipeline.

Course Features

100% Practical, Job-Oriented Training

Practical CI/CD Pipeline Implementation

DevOps Tools Integration + Cloud Deployment Experience

Certification-Focused Syllabus Practice Questions + Exam Preparation

Resume + Interview Assistance

Career Opportunities After DevOps Training

After completing our DevOps program, you can explore roles such as:

  • DevOps Engineer
  • Cloud Engineer
  • Site Reliability Engineer (SRE)
  • Build & Release Engineer
  • Automation Specialist
  • Infrastructure Engineer

Tools Covered

  • Git
  • Jenkins
  • Azure Boards
  • Docker
  • Kubernetes
  • Ansible
  • Terraform
  • AWS | GCP | Azure
  • Promethenus
  • Grafana
  • ELK
  • Linux

Why Cybermind IT Solution?

  • Industry-Experienced Trainers – Learn from experts with real-world DevOps & cloud experience.

  • 100% Practical Learning – Hands-on sessions with cloud labs and live projects.

  • Updated Curriculum – Includes all trending DevOps tools and cloud technologies.

  •  Placement Support – Interview preparation, mock sessions, and resume guidance.

  • Certification – Recognized certification to boost your career profile.

Course Outline

Course Duration:  3 Months

Sessions :

  • Weekdays – 4 per week
  • Weekends – 2 per week

Prerequisites :

  • There is no such Prerequisites for this course.
  • Basic computer knowledge will be advantage.
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Mr. Sanjeev Kumar

Qualification: B.Tech (CSE)
Certificate: RHCSA, RHCE, CCNA Certified
Specialisations: Cloud Architecture Specialist
Experience: 14+ Years

Course Contents

  • Understand DevOps, its roles, and responsibilities.

  • DevOps problems and solutions.

  • Identify cultural impediments and overcome them.

  • Understand the infrastructure layouts and their challenges.

  • Network concepts at enterprise scale.

  • Introduction to VCS

  • Types of VCS tools and working style

  • How GIT works

  • Working locally with GIT

  • Working remotely with GitHub

  • Branching and merging

  • Resolve merge conflicts

  • GIT reset and stash operation

  • How to set up GIT on-premises hardware

  • Introduction of Jenkins

  • Install and set up Jenkins

  • Introduction about Maven project

  • Setup Jenkins with Maven project

  • Project test and auto deployment on application server

  • Build pipeline view project

  • Jenkins to run script remotely

  • Add Jenkins node/slave

  • Run Jenkins behind the Apache proxy

  • Generate reports & enable mail

  • Notification

  1. Introduction

      • Introduction to server provision

      • VMs base provisioning difficulty

      • OS virtualization introduction

      • Hardware virtualization vs. OS virtualization

      • Docker introduction

      • Docker architecture

      • Use case of containerization application

      • Setting up your environmen

      • Setup machine on cloud & on-premises

      • Installation Docker

  2. Learning the Basics of Docker
      • Docker images and containers

      • Docker Hub

      • Docker image & container basic operations

      • Commands

      • Creating containers

      • Executing container commands

      • Docker logging

  3. Expose Contained for World Network
      • Port understandin
      • Expose container for external network
  4. Build Docker Image
      • Image modification
      • Manually Docker image build process
      • Install custom BINs/LIBs into the Docker image
  5. Docker Storage
    • Stateless and stateful application understanding
    • Provide persistent storage for container
    • Create Docker volume
    • Docker data backup solution
  6. Docker Images File
    • Introduction to the Docker file
    • Write Docker file for custom application
    • Image history
    • Saving and loading images
  7. Docker Network
      • Understanding Bridge Network
      • Creating a custom Network for Docker Containers
      • Establish Communication between container
  8. Docker Registry
    • Introduction Docker registry
    • How to use Public Dockers Registry
    • Setup Internal Dockers registry
    • Maintain Image over internal Dockers
  9. Docker Compose
    • Installing Docker Compose
    • Compose Commands
    • Creating a Compose File
    • Using Volumes and Networking with Compose
  1. Introduction Kubernetes
    • Introduction to Kubernetes

    • Kubernetes Cluster Architecture

    • Core Concept of Kubernetes Services

    • ETCD & Controller & API & scheduler

    • Exploring your Cluster

    • Understanding YAML

  2. Installation

    • Installation minikube

    • Installation using kubeadm utility in HA mode

    • Install Kubernetes the hard Way

    • How to use kops and create

    • Kubernetes cluster

  3. Application Deployment

    • Creating a Deployment in Kubernetes using YAML

    • Creating a Service in Kubernetes

    • Understanding pod & Replication & Deployment configuration

    • Using Rolling Updates in Kubernetes

    • Configure Environment variables in the application

    • Configure secret resources for sensitive value

    • Creating Config Map

    • Scale Applications

    • Multi Container PODs

    • Init Containers

    • Self-Healing Applications

  4. Storage Management

    • Creating Persistent volume

    • Persistent Volume Claim

    • Volume claim policy understanding

    • Attach storage on deployment

  5. Pod Scheduling

    • Manual Scheduling

    • Labels and Selectors

    • Taints and Tolerations

    • Node Selectors

    • Node Affinity

    • DaemonSets

    • Static Pods

    • Multiple Schedulers

    • Configuring Kubernetes Scheduler

  6. Resource Allocation

    • Restrict Limit Memory & CPU use

    • Creating Resource Quota

    • Creating Limit Quota

  7. Networking

    • Network Namespace understanding

    • Docker Network

    • Deploy Kubernetes Network

    • Cluster Networking

    • Pod Networking

    • Creating Service Network

    • DNS Concept in Kubernetes

    • Ingress System Kubernetes

  8.  Monitoring Kubernetes

    • Logging and Monitoring

    • Monitoring Cluster Component

    • Managing application Logs

  9. Security

    • Authentication

    • TLS Introduction

    • Certificate System Kubernetes

    • Creating Certificate

    • Role base Access Controls

    • Cluster Role and Role Binding

    • SCC: Security Constant Conta & Network

    • Policy

    • Image Security

  1. An Introduction Ansible

      • Automating Linux Administration with Ansible

      • Quiz: Automating Linux Administration with Ansible

      • Installing Ansible

      • Guided Exercise: Installing Ansible

      • Summary

  2. Deploying Ansible

    • Building an Ansible Inventory

    • Guided Exercise: Building an Ansible Inventory

    • Managing Ansible Configuration Files.

    • Guided Exercise: Managing Ansible Configuration Files

    • Running Ad Hoc Commands

    • Guided Exercise: Running Ad Hoc Commands

    • Lab: Deploying Ansible

    • Summary

  3. Implementing Playbooks

    • Writing and Running Playbooks

    • Guided Exercise: Writing and Running Playbooks

    • Implementing Multiple Plays

    • Guided Exercise: Implementing Multiple Plays

    • Lab: Implementing Playbooks

    • Summary

  4. Managing Variables and Facts

    • Managing Variables

    • Guided Exercise: Managing Variables

    • Managing Secrets

    • Guided Exercise: Managing Secrets

    • Managing Facts

    • Guided Exercise: Managing Facts

    • Lab: Managing Variables and Facts

    • Summary

  5. Implementing Task Control

    • Writing Loops and Conditional Tasks

    • Guided Exercise: Writing Loops and Conditional Tasks

    • Implementing Handlers

    • Guided Exercise: Implementing Handlers

    • Handing Task Failure

    • Guided Exercise: Handing Task Failure

    • Lab: Implementing Task Control

    • Summary

  6. Deploying Files To Managed Host

    • Modifying and Copying Files to Hosts

    • Guided Exercise: Modifying and Copying Files to Hosts

    • Deploying Custom Files with Jinja2 Templates

    • Guided Exercise: Deploying Custom Files with Jinja2 Templates

    • Lab: Deploying Files to Managed Hosts

    • Summary

  7. Managing Large Projects

    • Selecting Hosts with Host Patterns

    • Guided Exercise: Selecting Hosts with Host Patterns

    • Managing Dynamic Inventories. Guided Exercise

    • Configuring Parallelism

    • Managing Dynamic Inventories Configuring Parallelism

    • Guided Exercise: Configuring Parallelism

    • Including Importing Files

    • Guided Exercise: Including and Importing Files

    • Lab: Managing Large Projects

    • Summary

  8. Simplifying Playbooks with Roles

    • Describing Role Structure

    • Quiz: Describing Role Structure

    • Reusing Content with System Roles

    • Guided Exercise: Reusing Content with System Roles

    • Creating Roles

    • Guided Exercise: Creating Roles

    • Deploying Roles with Ansible Galaxy

    • Guided Exercise: Deploying Roles with Ansible Galaxy

    • Lab: Simplifying Playbooks with Roles

    • Summary

  9.  Troubleshooting Ansible

    • Troubleshooting Playbooks

    • Guided Exercise: Troubleshooting Playbooks

    • Troubleshooting Ansible Managed Hosts

    • Guided Exercise: Troubleshooting Ansible Managed Hosts

    • Lab: Troubleshooting Ansible

    • Summary

  10. Automating Linux Administration Tasks

    • Managing Software and Subscriptions

    • Guided Exercise: Managing Software and Subscriptions

    • Managing Users and Authentication

    • Guided Exercise: Managing Users and Authentication

    • Managing the Boot Process and Scheduled Processes

    • Guided Exercise: Managing the Boot Process and Scheduled Processes

    • Managing Storage

    • Guided Exercise: Managing Storage

    • Managing Network Configuration

    • Guided Exercise: Managing Network Configuration

    • Lab: Automating Linux Administration Tasks

    • Summary

 

  • Nagios Overview

  • Understand Nagios

  • Architecture

  • Install and Setup Nagios on Linux

  • Install and Setup NRPE Client

  • Setup Monitoring

  • Enable Email Alert

  1. Introduction to Terraform

    • Introduction to terraform

    • Infrastructure Automation

    • Install Terraform

    • Providers

    • Resources

    • Basic Syntax

  2. Getting started with Terraform

    • Terraform Plan, show, Apply, Destroy

    • Exploring Terraform Registry

    • Interpolation

    • Tainting and Updating Resources

    • Terraform Console and Output

    • Terraform Variables

    • Breaking Out Our Variables and Outputs

  3. Terraform Modules

    • Introduction to Modules

    • Module repositories

    • First Basic Module

    • The Module code

    • Main Terraform Code

  4. Terraform: Writing in a more organized way

    • Maps and Lookups

    • Terraform Workspaces

    • Breaking Out Our Variable Definitions

    • Null Resources and Local-Exec

    • Terraform Console

  5. Terraform with AWS Cloud

    • Setting up the system for AWS

    • AWS Storage: The S3 Bucket and Random ID

    • AWS Storage: The Root Module

    • AWS Compute: AMI Data, Key Pair, and the File Function

    • AWS Compute: The EC2 Instance

    • AWS Compute: User Data and Template Files

    • AWS Compute: The Root Module

  6. Terraform with AWS Cloud Advance Practice

    • AWS Networking: VPC, IGW, and Route Tables

    • AWS Networking: Subnets, Security, and the Count Attribute

    • AWS Networking: The Root Module

  7. Terraform Basic Labs: Templates, Conditionals and Functions

    • Remote state

    • Data Sources

    • Templates

    • Conditionals

    • Built-in Functions

    • Working with state files

    • Outputs, count and Join Function

  8. Terraform Integration with S3, Git & Jenkins

    • Adding S3 backend

    • Integration with Git

    • Packer introduction

    • Terraform with Packer

    • Terraform with Jenkins

    • Terraform Formatting and Remote State

    • Terraform RandomID and S3 Buckets

  9. Terraform Troubleshooting and Testing

    • Terraform Plan revisited

    • Debugging the script

    • Terraform Testing

    • Error Handling

  10. Terraform with Azure, Google Cloud, and Plugins Examples

    • Terraform with Azure cloud

    • Terraform with Google Cloud

    • Terraform Templates

    • Terraform plugins

    • Integrating Go Plugins

  11. Terraform Advance Features and Examples

    • Best practices in writing terraform scripts

    • Terraform Workflow

    • Terraform projects

    • Other Hashicorp tools

    • New features of Terraform

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