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Professional DevOps Engineering & Cloud


by Samreen .
Price: Original price was: 240,000₨.Current price is: 220,000₨.
2 months
0 Lessons

Course Intro

Modern organizations ship software faster and more reliably when development, operations and cloud teams work as one. The Professional DevOps Engineering & Cloud Automation course is a complete, hands-on programme that takes you from Linux and networking fundamentals to building automated CI/CD pipelines, containerizing applications with Docker, orchestrating them with Kubernetes, provisioning cloud infrastructure on AWS and Azure as code, and monitoring everything in production.

Over 27 structured modules and practical project work, you will learn the tools that DevOps teams use every day: Git, Jenkins, Azure DevOps, AWS DevOps, Docker, Kubernetes, Helm, Terraform, Ansible, Prometheus, Grafana, Datadog, the ELK Stack, Apache, IIS and Nginx. Delivered in 2 months, the course is designed for learners who want a practical, job-ready path into DevOps, cloud and automation roles.

Key Learnings

DevOps Foundations. Understand the DevOps lifecycle, Agile principles, the business value of DevOps and the toolchain used across modern delivery teams.

Linux, Networking and Security. Administer Ubuntu servers and understand TCP/IP, DNS, HTTP/HTTPS, SSL/TLS and the networking basics behind every cloud deployment.

Cloud Computing on AWS and Azure. Work with core compute, storage, networking, identity, monitoring and scaling services on Amazon Web Services and Microsoft Azure.

Scripting and Automation. Automate administrative tasks using Bash, PowerShell and Python, and write configuration in YAML for Docker Compose and Kubernetes.

Version Control and CI/CD. Manage source code with Git and build automated build, test and deployment pipelines using Jenkins, Azure DevOps and AWS DevOps tools.

Containers and Orchestration. Package applications with Docker, deploy them on Kubernetes and manage releases with Helm.

Infrastructure as Code. Provision and manage cloud resources with Terraform, Azure ARM templates and AWS CloudFormation, and configure servers with Ansible.

Monitoring and Logging. Implement continuous monitoring with Prometheus, Grafana and Datadog, and centralized logging with the ELK Stack.

Web Server Administration. Deploy and troubleshoot web applications on Apache, IIS and Nginx.

Course Content

Module 1: Introduction to DevOps

  • Overview of IT Infrastructure
  • Traditional Waterfall Model
  • Agile Methodologies and Principles
  • Introduction to DevOps: Concepts and Practices
  • Benefits and Business Value of DevOps
  • DevOps Lifecycle and Workflow
  • DevOps Roadmap and Toolchain Overview

Module 2: Linux Administration – Ubuntu

  • History and Introduction to Linux
  • Advantages and Disadvantages of Linux
  • Linux Distributions
  • Virtualization Fundamentals
  • Shells, GUI and Terminal
  • Linux File System and Directory Structure
  • Essential Linux Commands
  • File Permissions and Ownership
  • User and Group Management
  • Scheduling Tasks with Crontab
  • Text Editors and Essential Utilities
  • Linux Backup Techniques
  • Input/Output Redirection
  • Disk Partitions and Storage Management

Module 3: Networking Fundamentals and Security

  • OSI Reference Model
  • TCP/IP Fundamentals
  • IP Addressing and Networking Basics
  • Domain Name System (DNS)
  • HTTP and HTTPS Protocols
  • SSL/TLS Fundamentals
  • File Transfer Protocol (FTP)
  • Network Communication and Troubleshooting Basics

Module 4: Cloud Computing and Amazon Web Services (AWS)

  • Introduction to Cloud Computing
  • Public, Private and Hybrid Cloud Models
  • IaaS, PaaS and SaaS Service Models
  • Introduction to AWS
  • AWS Global Infrastructure and Architecture
  • Overview of AWS Service Domains
  • Compute Services: Amazon EC2 and AWS Lambda
  • Storage Services: Amazon S3
  • AWS Networking Services
  • Content Delivery with Amazon CloudFront
  • Monitoring and Management with Amazon CloudWatch
  • Auto Scaling and Elastic Load Balancing
  • AWS Cloud Security Fundamentals
  • Identity and Access Management (IAM)
  • Introduction to Amazon Redshift

Module 5: Microsoft Azure Cloud Platform

  • Azure Fundamentals and Core Concepts
  • Microsoft Entra ID (formerly Azure Active Directory)
  • Role-Based Access Control (RBAC)
  • Compute Services: Virtual Machines, App Services and Function Apps
  • Content Delivery Network (CDN) Concepts
  • Azure Storage Accounts and Storage Services
  • Introduction to Azure Databases
  • Azure Virtual Networks and Application Gateway
  • Monitoring and Auto Scaling
  • Azure Automation Accounts
  • Azure Log Analytics Workspace

Module 6: Bash Shell Scripting

  • Introduction to Shell Scripting
  • Bash Syntax and Script Structure
  • Variables and Data Handling
  • Operators
  • Conditional Statements
  • Loops and Iteration
  • Command Substitution
  • Parameter and Variable Substitution
  • Functions and Reusable Code
  • Practical Automation Scripts

Module 7: PowerShell Scripting

  • Introduction to PowerShell
  • PowerShell Syntax and Command Structure
  • Cmdlets, Parameters and Variables
  • Working with Objects and Pipelines
  • Basic Scripting Examples
  • Automation of Common Administrative Tasks

Module 8: Python Programming for DevOps

  • Introduction to Python
  • Syntax, Variables and Data Types
  • Conditional Statements
  • Loops and Iteration
  • Lists, Arrays and Collections
  • Functions and Modules
  • Classes and Objects
  • Object-Oriented Programming and Inheritance
  • Python Scripting for Automation
  • Practical Examples and Automation Exercises

Module 9: YAML Configuration Language

  • Introduction to YAML
  • Basic Syntax and Indentation Rules
  • Data Types: Integers, Booleans, Strings, Lists, Dictionaries, Null and Sets
  • Multiline Strings
  • Anchors, Aliases and Extensions
  • Placeholders and Variable Substitution Concepts
  • Docker Compose YAML Examples
  • Kubernetes YAML Configuration Examples
  • Introduction to the PyYAML Python Module
  • Sample Python Scripts for YAML Processing

Module 10: Version Control with Git

  • Introduction to Version Control Systems
  • Git Fundamentals and Distributed Version Control
  • Installing Git on Linux and Windows
  • Git Command-Line and GUI Tools
  • Initial Configuration and Repository Setup
  • Cloning Repositories
  • Essential Git Commands
  • Branching, Merging and Collaboration
  • Committing and Tracking Changes
  • Practical Version Control Workflows

Module 11: CI/CD Automation with Jenkins

  • Introduction to Continuous Integration (CI)
  • Introduction to Continuous Delivery and Continuous Deployment (CD)
  • Jenkins Architecture and Core Concepts
  • Jenkins Installation, Setup and Demonstration
  • Controller-Agent Architecture (formerly Master-Slave)
  • Jenkins Pipelines
  • Introduction to Jenkinsfile
  • Pipeline Syntax and Core Concepts
  • Creating the First Jenkins Pipeline
  • Automating Build, Test and Deployment Workflows

Module 12: Azure DevOps

  • Introduction to Azure DevOps
  • Azure Boards for Work and Project Tracking
  • Azure Repos for Source Code Management
  • Azure Pipelines
  • CI/CD Pipeline Fundamentals
  • Integrating Repositories with Automated Pipelines
  • Build and Release Workflow Demonstration

Module 13: AWS DevOps

  • Introduction to AWS DevOps
  • AWS DevOps Tools and Components
  • AWS CodeCommit Concepts and Source Control Alternatives
  • AWS CodeBuild and Build Automation
  • AWS CodeDeploy and Deployment Automation
  • AWS CodePipeline and Pipeline Orchestration
  • Building a CI/CD Pipeline on AWS
  • Integrating Build, Test and Deployment Stages

Module 14: Containerization with Docker

  • Introduction to Docker
  • Understanding Containers
  • Docker Containers vs. Virtual Machines
  • Docker Installation and Configuration
  • Essential Docker Commands
  • Container Inspection and Debugging
  • Introduction to the Demo Project
  • Developing Applications with Containers
  • Docker Compose
  • Writing and Managing Dockerfiles
  • Private Docker Repositories and Registries
  • Amazon ECR and Azure Container Registry
  • Deploying Containerized Applications
  • Docker Volumes and Persistent Storage
  • Practical Volume Management Demonstration

Module 15: Container Orchestration with Kubernetes

  • Introduction to Kubernetes (K8s)
  • Core Kubernetes Components
  • Kubernetes Architecture
  • Local Setup with Minikube and kubectl
  • Essential kubectl Commands
  • Kubernetes YAML Configuration Files
  • Practical Project: MongoDB and Mongo Express
  • Organizing Resources with Namespaces
  • Kubernetes Ingress
  • Persistent Storage and Volumes
  • Deploying Stateful Applications with StatefulSets
  • Kubernetes Services and Service Discovery
  • Application Deployment and Troubleshooting

Module 16: Helm Package Manager

  • Introduction to Helm
  • Helm 2 vs. Helm 3
  • Installing and Configuring Helm
  • Understanding Helm Charts
  • Managing Chart Dependencies
  • Helm Templates
  • Essential Helm Commands
  • Deploying Kubernetes Applications with Helm

Module 17: Infrastructure as Code with Terraform

  • Introduction to Infrastructure as Code (IaC)
  • Terraform Overview and Architecture
  • AWS Account and Environment Setup
  • Terraform Installation on Windows and Linux
  • Visual Studio Code Setup
  • Terraform Configuration Files
  • Provisioning and Modifying Infrastructure Resources
  • Referencing Resources
  • Resource Dependencies and Management
  • Terraform State and State Commands
  • Terraform Outputs
  • Targeted Resource Operations
  • Terraform Variables
  • Deleting Infrastructure Resources
  • Practical Infrastructure Provisioning Project

Module 18: Azure Resource Manager (ARM) Templates

  • Introduction to ARM Templates
  • Building Infrastructure Templates
  • Template Deployment Options
  • Template Syntax and Resource Definitions
  • Parameterization and Reusable Templates
  • Template Functions and Expressions
  • Testing and Validating Templates
  • Deploying Azure Resources Using Templates

Module 19: AWS CloudFormation

  • Introduction to AWS CloudFormation
  • Core CloudFormation Components
  • Template Structure and Syntax
  • Managing CloudFormation Stacks
  • Creating and Updating Stacks
  • Direct Resource Updates
  • Infrastructure Deployment and Change Management

Module 20: Configuration Management with Ansible

  • Introduction to Ansible
  • Ansible Architecture and Components
  • Inventory Files and Managed Nodes
  • Ansible Playbooks
  • Writing and Executing Playbooks
  • Configuration Automation and Task Management
  • Introduction to Ansible Tower / Automation Controller
  • Ansible vs. Terraform
  • Practical Configuration Management Exercises

Module 21: Monitoring and Metrics with Prometheus

  • Introduction to Monitoring in DevOps
  • What Is Prometheus?
  • Benefits and Use Cases of Prometheus
  • Continuous Monitoring Concepts
  • Prometheus Architecture
  • Prometheus Metrics and Metric Types
  • Prometheus Installation and Configuration
  • Practical Monitoring Demonstration

Module 22: Monitoring and Visualization with Grafana

  • Introduction to Grafana
  • Role of Continuous Monitoring in DevOps
  • Connecting Data Sources
  • Creating and Configuring Dashboards
  • Visualizing Infrastructure and Application Metrics
  • Monitoring Demonstration Using Grafana

Module 23: Infrastructure Monitoring with Datadog

  • Introduction to Datadog
  • Integrations and Data Collection
  • Infrastructure Monitoring
  • Host Map and Infrastructure Visibility
  • Events and Event Monitoring
  • Dashboard Creation and Management
  • Assigning and Managing Tags
  • Using Tags for Filtering and Organization
  • Datadog Graphing and Visualization

Module 24: Centralized Logging with the ELK Stack

  • Introduction to the ELK Stack
  • Overview of Elasticsearch, Logstash and Kibana
  • ELK Stack Components and Architecture
  • Understanding the ELK Data Flow
  • Key Features and Use Cases
  • Installation and Configuration
  • Centralized Log Collection, Search and Visualization

Module 25: Web Server Administration with Apache

  • Introduction to Web Servers
  • Apache HTTP Server Installation
  • Starting, Stopping and Managing Services
  • Main Configuration Files
  • Hosting and Serving Web Applications
  • Basic Configuration and Troubleshooting

Module 26: Internet Information Services (IIS)

  • Introduction to IIS and How It Works
  • IIS Installation and Configuration
  • Overview of Web Platform Installer Tools
  • Hosting Web Applications
  • Understanding IIS Bindings
  • Application Pools and Their Configuration
  • Basic Troubleshooting and Management

Module 27: Web Server Administration with Nginx

  • Introduction to Nginx
  • Nginx Architecture and Core Concepts
  • Nginx Use Cases and Benefits
  • Installation and Initial Configuration
  • Managing Nginx Services
  • Configuring Nginx for Web Applications
  • Hands-On Project: Deploying a Web Application on Nginx

Practical Training and Project Work

  • Hands-on exercises throughout the modules
  • Linux administration and scripting tasks
  • Cloud resource provisioning on AWS and Azure
  • Git-based source code management
  • CI/CD pipeline creation and automation
  • Docker containerization and Kubernetes deployments
  • Infrastructure provisioning using Terraform and cloud-native templates
  • Configuration automation using Ansible
  • Monitoring and logging implementation
  • Web application deployment using Apache, IIS or Nginx

Expected Learning Outcomes

Upon successful completion, learners should have a practical understanding of DevOps workflows and the tools used to automate infrastructure, build and deploy applications, manage containers, provision cloud resources, and monitor systems.

Who’s this course for

  • Fresh graduates and students who want to start a career in DevOps, cloud or IT operations
  • System administrators and network engineers moving into cloud and automation roles
  • Software developers and testers who want to understand build, release and deployment pipelines
  • Cloud engineers and support engineers who want to add Infrastructure as Code and Kubernetes skills
  • IT professionals preparing for DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE) and Release Engineer roles

Course prerequisite

No prior DevOps experience is required. Basic computer and internet skills and a general interest in IT are enough to get started. Familiarity with any programming language or with operating systems is helpful but not mandatory, because the course begins with Linux, networking and scripting fundamentals.

International Student Fees

Training Fee: $800 – $900 USD (approx.)
Course Duration: 2 months

Job Interview Preparation (Soft Skills Questions & Answers)

Stay connected even when you’re apart

Internships, Freelance and Full-Time Work opportunities

Flexible Class Options

  • Weekend Classes For Professionals SAT
  • SUN
  • Corporate Group Training Available
  • Online Classes – Live Virtual Class (L.V.C), Online Training

KEY FEATURES

Flexible Classes Schedule

Online Classes for out of city / country students

Unlimited Learning - FREE Workshops

FREE Practice Exam

Internships Available

Free Course Recordings Videos

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