DevOps & Cloud Technologies

DevOps Training & Certification

Learn DevOps tools, CI/CD pipelines, Docker, Kubernetes, and automation through hands-on training. This DevOps course helps beginners and professionals build real industry skills.

Ram Prakash Updhayay - KR Network Cloud Devops Trainer
Instructor
Mr. Ram Updhayay
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    DevOps Training & Certification - Become a Certified DevOps Expert

    DevOps Course Overview

    Software development has changed a lot in recent years. Today, companies release updates very often. New features, bug fixes, and improvements must reach users quickly. Because of this, developers and system administrators need to work closely together.

    This is where a devops course becomes important.

    DevOps is not just about tools. It is a working method where development and operations teams collaborate to build, test, and release software faster. Instead of doing many tasks manually, teams use automation to manage builds, testing, and deployments.

    In this devops course, learners understand how modern DevOps environments work. You start with version control systems used to manage code. After that, you learn about build automation, container technology, and infrastructure automation.

    The training focuses on practical learning. Students work with popular tools such as Git, Jenkins, Docker, Kubernetes, Ansible, and Terraform. These tools are commonly used in real-world projects, giving learners a clear picture of how applications move from development to production environments.

    Many professionals look for the best devops course because they want to understand how these tools connect together in real DevOps environments. For this reason, this devops certification course explains the full DevOps workflow instead of teaching tools separately.

    Students also learn about CI/CD pipelines, deploying containers, and automating infrastructure. As a result, the devops engineer course helps learners understand how modern teams manage and deploy applications efficiently.

    For working professionals, devops online training provides flexible learning options. This allows learners to improve their skills while continuing their current jobs. Many professionals choose devops online training because it allows them to gain practical experience without interrupting their work schedule.

    Overall, this devops course for beginners and experienced learners explains how DevOps teams build, test, and deploy software in modern IT environments. Because of its practical approach, many learners consider it the best devops course for building strong automation and deployment skills.

    Objective

    Learning Objectives

    The main goal of this devops course is to help learners understand how software development and infrastructure automation work together in real IT environments.

    Instead of focusing only on theory, the training includes practical tasks and real tools used by engineers. This DevOps Training program helps learners understand how automation improves software delivery.

    After completing this DevOps Training, learners will understand how DevOps pipelines work and how different tools support automation across development and infrastructure teams.

    After finishing the devops training courses program, learners will be able to:

    • Understand DevOps workflow and automation practices
    • Manage source code using Git repositories
    • Create CI/CD pipelines using Jenkins
    • Build and manage containers using Docker
    • Deploy containerized applications using Kubernetes
    • Automate infrastructure using Terraform
    • Configure systems using Ansible
    • Manage builds and dependencies using Maven
    • Improve code quality using SonarQube
    • Store artifacts using Nexus repository

    During the training, learners also understand how these tools connect in a DevOps pipeline. Because every tool handles a different stage, this devops engineer training helps students understand the full automation process.

    After completing the training, learners feel more confident preparing for a devops certification and working with DevOps tools in real environments.

    Curriculum Highlights

    This devops course introduces the tools commonly used by DevOps teams. Each tool solves a specific problem in the software delivery process and is an essential part of modern DevOps Training environments.

    • Git (Version Control)

      Git helps developers track code changes and collaborate with team members. It allows teams to manage branches, commits, and project history effectively.

    • Jenkins (CI/CD Automation)

      Jenkins automates the build and deployment process. With automation, development teams can release updates faster and more reliably.

    • Docker (Containerization)

      Docker packages applications and their dependencies into containers. Because of this, applications run the same way in development, testing, and production systems.

    • Kubernetes (Container Orchestration)

      Kubernetes manages containers across clusters. It helps scale applications, manage deployments, and maintain service availability.
      This topic is an important part of the devops engineer course and modern cloud-based DevOps infrastructure.

    • Ansible (Configuration Automation)

      Ansible helps automate system configuration tasks. It is commonly used to manage multiple servers at the same time in DevOps environments.

    • Terraform (Infrastructure Automation)

      Terraform allows infrastructure to be defined as code. This means servers, networks, and cloud resources can be created automatically.

    • Maven (Build Management)

      Maven helps manage application builds and project dependencies. It ensures that applications build correctly across different environments.

    • SonarQube (Code Quality Monitoring)

      SonarQube scans source code and finds issues such as bugs and security risks. This helps development teams maintain better code quality.

    • Nexus (Repository Management)

      Nexus stores application packages and build artifacts. It helps manage software dependencies used in development projects.

    Because this devops course combines these technologies, learners clearly understand how a complete DevOps pipeline works in real-world projects.

    If you are planning to start this training and need proper guidance you can watch our recorded session of Complete DevOps Roadmap

    Module 1: GIT

    Unit-1 INTRODUCTION TO GIT AND KEY TERMS
    • SCM / Version Control
    • What is Git?
    • Key terms in Git
    Unit-2 GIT REPOSITORY MANAGEMENT AND BRANCHING
    • Create Repo on GitHub
    • Install git client
    • Git config files –
    • Git init
    • Upstream
    • Git remote
    • Git clone
    • Git fork
    • Branch concept
    • Branching strategy
    • How to create a branch
    • Git checkout
    Unit-3 GIT WORKFLOW AND COLLABORATION
    • Working dir
    • Staging area
    • Repo
    • Git add
    • Git commit
    • Git push
    • Git pull
    Unit-4 ADVANCED GIT OPERATIONS AND REVISION CONTROL
    • Git show
    • Git log
    • Git diff – comparing commits
    • Git revert
    • Git reset
    • Git rebase
    Unit-5 GIT COLLABORATION AND ADVANCED TECHNIQUES
    • Git merge and merge conflicts
    • Git stash
    • Git tag
    • Git cherry-pick
    • Pull request
    • Students Quiz Sessions

    Module 2: Jenkins

    Unit-1 INTRODUCTION TO JENKINS AND ITS POPULARITY
    • What is Jenkins
    • DevOps and Jenkins
    • Why it is popular
    • Student Quiz
    Unit-2 JENKINS INSTALLATION, CONFIGURATION, AND JOB MANAGEMENT
    • Jenkins installation – docker/war/rpm
    • Jenkins config files/dir
    • Change default port
    • Environment variables – inbuilt, user-defined
    • User management
    • Installing plugins – GUI, HPI
    • Jenkins job
    • Integration with GitHub
    • Credentials manager
    • Trigger
    • Workspace
    • Build status
    • Upstream job
    • Downstream job
    Unit- 3 JENKINS INTEGRATIONS AND ADVANCED CONFIGURATIONS
    • Email
    • Ansible integration
    • SonarQube integration
    • maven integration
    • Executor
    • Slave configuration
    • label
    • View
    Unit-4 JENKINS PIPELINE AND AUTOMATION TECHNIQUES
    • Multi-branch pipeline
    • Pipeline – declarative / scriptive
    • Jenkins file
    • parameters
    • timeout
    • agent
    • stages
    • steps
    Unit- 5 QUIZ SESSIONS

    Students Quiz Sessions

    Module 3: DOCKER

    Unit 1 - INTRODUCTION TO CONTAINERS
    • 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 Environment
    • Setup machine on Cloud & on-premises
    • Installation Docker
    Unit 2 - LEARNING THE BASICS OF CONTAINERS
    • Images and Container File System
    • Docker Hub
    • Image & Container Basic Operation Commands
    • Creating Containers
    • Executing Container Commands
    • Docker Logging
    Unit 3 - EXPOSE CONTAINERS FOR WORLD NETWORK
    • Port Understanding
    • Expose container for external Network
    Unit 4 - BUILD DOCKER IMAGE
    • Image modification
    • Manually Docker image Build process
    • Install custom BINS/LIBS into the Docker images
    Unit 5 - DOCKER STORAGE
    • Stateless and state full Application Understanding
    • Provide persistent storage for container
    • Create Docker Volume
    • Docker Data Backup Solution
    Unit 6 - DOCKER IMAGES FILE
    • Introduction to the Docker file
    • Write Docker file for custom application
    • Image History
    • Saving and Loading Images
    Unit 7 - DOCKER NETWORK
    • Understanding Bridge Network
    • Creating a custom Network for Docker Container
    • Establish Communication between Container
    Unit 8 - DOCKER REGISTRY
    • Introduction Docker registry
    • How to use Public Dockers Registry
    • Setup Internal Dockers registry
    • Maintain Image over internal Dockers registry
    Unit 9 - DOCKER COMPOSE
    • Installing Docker Compose
    • Compose Commands
    • Creating a Compose File
    • Using Volumes and Networking with Compose

    Module 4: KUBERNETES

    Unit 1 - INTRODUCTION KUBERNETES
    • Introduction to Kubernetes
    • Kubernetes Cluster Architecture
    • Core Concept of Kubernetes Services
    • ETCD & Controller & API & scheduler
    • Exploring your Cluster
    • Understanding YAML
    Unit 2 - INSTALLATION
    • Installation minikube
    • Installation using Kubeadm utility in HA mode
    • Install Kubernetes the Hard Way
    • How to use Kops and create
    • Kubernetes cluster
    Unit 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
    Unit 4 - STORAGE MANAGEMENT
    • Creating Persistent volume
    • Persistent Volume Claim
    • Volume claim policy understanding
    • Attach storage on deployment
    Unit 5 - POD SCHEDULING
    • Manual Scheduling
    • Labels and Selectors
    • Taints and Tolerations
    • Node Selectors
    • Node Affinity
    • DaemonSets
    • Static Pods
    • Multiple Schedulers
    • Configuring Kubernetes Scheduler
    Unit 6 - RESOURCE ALLOCATION
    • Restrict Limit Memory & CPU use
    • Creating Resource Quota
    • Creating Limit Quota
    Unit 7 - NETWORKING
    •  Network Namespace understanding
    • Docker Network
    • Deploy Kubernetes Network
    • Cluster Networking
    • Pod Networking
    • Creating Service Network
    • DNS Concept in Kubernetes
    • Ingress System Kubernetes
    Unit 8 - MONITORING KUBERNETES
    • Logging and Monitoring
    • Monitoring Cluster Component
    • Managing application Logs
    Unit 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

    Module 5: ANSIBLE

    Unit 1 - AN INTRODUCTION TO ANSIBLE
    • Automating Linux Administration with Ansible
    • Quiz: Automating Linux Administration with Ansible
    • Installing Ansible
    • Guided Exercise: Installing Ansible
    • Summary
    Unit 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
    Unit 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
    Unit 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
    Unit 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
    Unit 6 - DEPLOYING FILES TO MANAGED HOST
    • 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
    Unit 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
    Unit 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
    Unit 9 - TROUBLESHOOTING ANSIBLE
    • Troubleshooting Playbooks.
    • Guided Exercise: Troubleshooting Playbooks
    • Troubleshooting Ansible Managed Hosts…
    • Guided Exercise: Troubleshooting Ansible Managed
    • Lab: Troubleshooting Ansible.
    • Summary
    Unit 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

    MODULE 6: TERRAFORM

    Unit 1 -INTRODUCTION TO TERRAFORM
    • Introduction to terraform
    • Infrastructure Automation
    • Install Terraform
    • Providers
    • Resources
    • Basic Syntax
    Unit 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
    Unit 3 - TERRAFORM MODULES
    • Introduction to Modules
    • Module repositories
    • First Basic Module
    • The Module code
    • Main Terraform Code
    Unit 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
    Unit 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
    Unit 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
    Unit 7 - TERRAFORM BASIC LABS
    • Remote state
    • Data Sources
    • Templates
    • Conditionals
    • Built-in Functions
    • Working with state files
    • Outputs, count, and Join Function
    Unit 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
    Unit 9 - TERRAFORM TROUBLESHOOTING AND TESTING
    • Terraform Plan revisited
    • Debugging the script
    • Terraform Testing
    • Error Handling
    Unit 10 - TERRAFORM WITH AZURE, GOOGLE CLOUD, & PLUGINS
    • Terraform with Azure cloud
    • Terraform with Google Cloud
    • Terraform Templates
    • Terraform plugins
    • Integrating Go Plugins
    Unit 11 - TERRAFORM ADVANCE FEATURES AND EXAMPLES
    • Best practices in writing terraform scripts
    • Terraform Workflow
    • Terraform projects
    • Other Hashicorp tools

    MODULE 7

    MAVEN
    • Maven Introduction & Installation
    • Convention over configuration
    • What is pom.xml
    • Maven Lifecycle
    • Maven Local, Central & Remote Repositories
    • Maven’s Setting.xml
    • Group ID, Artifact ID, Snapshot vs Release
    • Dependencies
    • Maven Archetypes
    • Dependency Management
    • Distribution Management
    • Maven Integration with SonarQube
    • Maven Integration with Nexus
    • Maven Integration to Tomcat

    MODULE 8

    SONARQUBE
    • Why is source code scanning required?
    • Introduction & Installation of SonarQube
    • Architecture
    • SonarQube Home Directory Structure
    • Sonar scanning Rules, Quality Profiles & Quality Gates
    • SonarQube Integration with Maven
    • Checking SonarQube reports
    • Custom Quality Gates
    • User and Group management for projects
    • Integration with Jenkins
    • SonarQube webhooks

    MODULE 9

    NEXUS REPOSITORY ARTIFACTORY TOOL
    • What is a repository?
    • Repository Management tools
    • What is Nexus and why do we use Nexus?
    • Installation and configuration of Nexus: As a Container, Pod & Service
    • Nexus Administration: Managing Nexus Configuration and Security.
    • Hosted vs Proxy vs Group Repositories
    • Introduction to Repository Replications
    • Creating Hosted and Proxy Repositories for Maven
    • Using Nexus as a docker-hosted repository.
    • Integrating Nexus with Maven
    • Build and deploy Snapshot and Release artifacts to Nexus.
    • Nexus troubleshooting

    Why Learn DevOps?

    Prerequisite of this Training

    Before joining this devops course training program, learners should have some basic technical knowledge.

    Recommended prerequisites include:

    • Basic knowledge of Linux operating system
    • Basic command line usage
    • Basic system administration understanding
    • Basic knowledge of cloud platforms like AWS or Azure

    However, beginners can still join this devops course for beginners if they are willing to learn infrastructure automation. The training starts with fundamentals and gradually moves to advanced topics.

    Why Learn This Training

    Software companies release updates regularly. Because of this, they need systems that allow fast and reliable deployments. DevOps practices help companies achieve this goal.

    Learning a devops course offers several benefits.

    Automation reduces repetitive manual work. As a result, teams can focus more on development and innovation.

    DevOps engineers also work with modern technologies such as containers, automation tools, and cloud platforms. These technologies are widely used in product companies and cloud environments.

    Because of this demand, completing a devops certification course helps learners build skills that many companies are looking for.

    Many professionals search for the best devops course because DevOps connects development, operations, and automation together. Instead of focusing on a single area, DevOps combines multiple technical skills.

    Because of this, the devops engineer course helps learners improve their technical knowledge and career opportunities.

    Audience for this Training

    This devops course is suitable for many types of learners.

    It is useful for:

    • System administrators
    • Linux engineers
    • Cloud engineers
    • Software developers
    • IT infrastructure professionals
    • DevOps enthusiasts
    • Fresh graduates interested in infrastructure careers

    Professionals working in cloud environments can improve their automation skills through this devops engineer training.

    Similarly, beginners who want to enter infrastructure roles can start with this devops course for beginners.

    Are You Eligible

    You can join this devops course if you are interested in automation and cloud infrastructure.

    You may find this training helpful if you want to:

    • Automate system management
    • Build CI/CD pipelines
    • Work with containers
    • Deploy applications on cloud platforms

    Even beginners can learn the DevOps workflow step by step through this devops certification course and prepare for industry-recognized devops certification exams.

    Career Opportunities After This Training

    After completing this devops certification course, learners can explore several career roles.

    Common roles include:

    • DevOps Engineer
    • Site Reliability Engineer
    • Cloud DevOps Engineer
    • Infrastructure Automation Engineer
    • Build and Release Engineer
    • Platform Engineer

    Because companies rely on automation and cloud systems, professionals with devops certification and practical skills are in high demand across many industries

    Recommended Next Step After This Training

    After completing this devops course, learners can continue building advanced skills.

    Recommended next steps include:

    • Advanced Kubernetes administration
    • Cloud certifications such as AWS or Azure
    • Infrastructure automation projects
    • CI/CD pipeline implementation
    • Monitoring and observability tools

    Many professionals also pursue advanced devops certification programs after completing this DevOps Training to improve their knowledge of cloud architecture and automation systems

    The Top Reason why to choose KR Network Cloud

    • KR Network Cloud is the Red Hat Authorized Training Partner
    • We have a world-class experienced & Certified Trainer for Red Hat Training
    • All lab facilities are available. labs are facilitated with a computer
    • We provide IT training as well as Global IT Certifications.
    • KR Network Cloud will provide you with the Notes, Videos, and Red Hat Training books
    • We provide corporate as well as industrial training in Delhi
    • Demo sessions, Workshops, Exhibitions, backup classes, Practice sessions, etc.
    • Provide Exam Preparations to the Student
    • Our trainer will also help to crack your interview.
    • Job assistance facility for our students is also available
    • Provides online as well as classroom training.
    • Provides More Opportunities for future

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