About Course
This program is designed for beginners, professionals, and career switchers who want to build strong practical skills in DevOps, Cloud Computing, and modern infrastructure practices.
Unlike traditional courses, this program focuses on hands-on implementation, real-time projects, and industry-relevant tools used by top companies.
You will work with technologies like AWS, Docker, Kubernetes, Terraform, CI/CD pipelines, and monitoring tools to gain practical experience in building and managing scalable systems.
🚀 What makes this program different:
• 70+ Hands-on Labs
• 10+ Real-World Production Projects
• End-to-End DevOps Capstone Project
• Live Instructor-Led Sessions
• Production-grade Labs
• Career Support (Resume + LinkedIn + Mock Interviews)
By the end of this program, you will be able to design, build, automate, deploy, and monitor real-world production systems confidently.
What Will You Learn?
- Build end-to-end CI/CD pipelines
- Deploy applications on AWS cloud infrastructure
- Containerize applications using Docker
- Orchestrate workloads using Kubernetes
- Automate infrastructure using Terraform
- Configure systems using Ansible
- Implement monitoring using Prometheus & Grafana
Course Content
Module-1: DevOps Foundations & SDLC
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Introduction to Software Development & Engineering Practices
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SDLC Models (Waterfall vs Agile vs DevOps)
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Why DevOps in Modern Engineering
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DevOps Lifecycle & Key Stages
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CI/CD Concepts & Workflow Overview
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Monolith vs Microservices Architecture
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DevOps Tools Ecosystem Overview
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DevOps Tools – Initial Setup & Environment Configuration
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Self Assessment
Module-2: Linux Administration & Shell Scripting
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Linux Architecture & Distributions Overview
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File System Structure & Permissions Management
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User & Group Management
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Package Management (APT, YUM, DNF)
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Process, Service & Systemctl Management
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Networking Basics & SSH Configuration
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Shell Scripting Fundamentals (Bash)
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Variables, Loops & Conditional Statements in Scripts
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Automating Tasks using Shell Scripts (Cron Jobs)
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Linux Security best practices
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Self Assessment
Module-3: Networking for Cloud & DevOps
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Networking Fundamentals & Core Concepts
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OSI vs TCP/IP Model
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IP Addressing, CIDR & Subnetting
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DNS, Name Resolution & Routing Basics
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Ports, Protocols & Firewall Concepts
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Load Balancing (L4 vs L7 Concepts)
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Self Assessment
Module-4: Version Control with Git & GitHub
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Version Control Fundamentals & Git Concepts
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Git Architecture & Workflow
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Git Installation & Essential Commands (Clone, Commit, Push, Pull)
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Branching Strategies (Feature, Release, Hotfix)
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Merging & Handling Conflicts
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GitHub Repositories & Collaboration Workflows
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Pull Requests, Code Reviews & Team Collaboration
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GitHub Actions Basics for CI Integration
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Git Best Practices & Repository Management
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Self Assessment
Module-5: AWS Cloud Infrastructure (Core)
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Cloud Computing Fundamentals
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AWS Global Infrastructure
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IAM Users, Roles & Policies
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EC2 Setup & Management
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S3 Storage & Lifecycle Policies
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VPC, Subnets & Routing
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RDS Setup & Multi-AZ Design
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DynamoDB & Use Cases
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Amazon ECR for Container Images
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Amazon ECS for Container Deployment (Overview)
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Amazon EKS Fundamentals (Primary Focus for Kubernetes)
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AWS CloudFormation Basics
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Self Assessment
Module-6: CI/CD with Jenkins & GitHub Actions
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CI/CD Fundamentals & Pipeline Architecture
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Jenkins Installation & Architecture Overview
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Jenkins Jobs, Pipelines & Declarative Syntax
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GitHub Actions Workflows & Runners
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Build Automation & Pipeline Best Practices
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Artifact Management
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Notifications, Webhooks & Integrations
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CI/CD Security & Secrets Management
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Self Assessment
Module-7: Infrastructure as Code (Terraform)
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Introduction to Infrastructure as Code (IaC)
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Terraform Architecture & Workflow
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Providers, Resources & Data Sources
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State Management & Remote Backends
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Modules & Reusable Infrastructure Design
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Provision AWS Infrastructure using Terraform
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Variables, Outputs & Environment Management
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Terraform Best Practices & Project Structure
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Terraform Security & State Locking
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Self Assessment
Module-8: Configuration Management with Ansible
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Introduction to Configuration Management & Ansible
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Ansible Architecture & Setup
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Inventory Management & Ad-hoc Commands
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Playbooks, Modules & Task Execution
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Variables, Facts & Jinja2 Templating
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Roles, Collections & Ansible Galaxy
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Secrets Management with Ansible Vault
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Real-world Automation Use Cases
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Ansible Best Practices & Project Structure
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Self Assessment
Module-9: Containerization with Docker
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Virtualization vs Containers
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Docker Architecture & Components
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Docker Installation & CLI Basics
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Images, Containers & Lifecycle Management
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Dockerfile & Image Build Optimization
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Docker Networking (Bridge, Host, None)
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Volumes, Bind Mounts & Storage Management
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Docker Compose for Multi-Container Applications
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Docker Registry & Image Management (Docker Hub / ECR)
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Docker Best Practices & Security
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Self Assessment
Module-10: Kubernetes (Container Orchestration)
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Introduction to Kubernetes & Architecture
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Cluster Setup (KOps / EKS)
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Pods, ReplicaSets, Deployments & Services
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StatefulSets, DaemonSets & Jobs
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ConfigMaps, Secrets & Environment Management
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Ingress, Networking & Service Discovery
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Scaling, Auto-healing & HPA
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Rolling Updates, Rollbacks & Deployment Strategies
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Storage in Kubernetes (Volumes, PV, PVC)
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Kubernetes Security & RBAC
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Monitoring & Logging (Prometheus, Grafana)
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Self Assessment
Module-11: Monitoring & Observability
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Monitoring Fundamentals & Observability Concepts
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Prometheus Architecture & Data Model
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Installing & Configuring Prometheus
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Exporters (Node Exporter, Application Metrics)
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Grafana Dashboards & Visualization
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Metrics, Alerting & Alert Manager Setup
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Logging Fundamentals & ELK Stack Overview
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Centralized Logging (ELK / Loki)
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Production Monitoring Strategy & SLOs
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Self Assessment
Module-12: Advanced DevOps Practices (Production Scenarios)
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CI/CD for Microservices
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Blue-Green Deployment
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Canary Deployment Strategy
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Security in DevOps (DevSecOps)
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Secrets Management
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Cost Optimization in Cloud
Module-13: GitOps with ArgoCD
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Introduction to GitOps
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Continuous Deployment using ArgoCD
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Managing Kubernetes deployments via Git
Module-14: AI-Assisted DevOps Workflows
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Introduction to AI in DevOps
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Using Gen AI for DevOps Tasks
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AI for Troubleshooting
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AI in CI/CD Pipelines
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AI-based Monitoring Insights
Project 1 – CI/CD Pipeline (End-to-End)
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CI/CD Architecture Design (Real-world Scenario)
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Source Control Integration (Git + GitHub)
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Deploy to Kubernetes
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Build Pipeline with Jenkins & Docker
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Deploy Application to Kubernetes
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Implement Automated Testing & Pipeline Stages
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Notifications, Rollbacks & Pipeline Optimization
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End-to-End CI/CD Pipeline Implementation
Project 2 – Cloud Infrastructure Automation
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Design AWS Production Architecture
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Provision Infrastructure using Terraform
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Configure Servers using Ansible
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Implement Security (IAM, VPC, Security Groups)
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Infrastructure Monitoring Setup (Prometheus / CloudWatch)
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Cost Optimization & Best Practices
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End-to-End Implementation of Infrastructure Automation Project (Terraform + Ansible)
Capstone Project – Production DevOps System
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Design Production-Ready DevOps Architecture
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Multi-Tier Application Deployment on AWS
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CI/CD Integration with Kubernetes (Jenkins / GitHub Actions)
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Observability (Monitoring, Logging, Alerting)
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Scaling, High Availability & Fault Tolerance
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Security, Backup & Disaster Recovery
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Performance Optimization & Cost Management
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Final Capstone Project Submission
Career Preparation & Interview Readiness
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Resume Building for DevOps & Cloud Roles
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LinkedIn Profile Optimization & Personal Branding
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GitHub Portfolio Setup & Project Showcase
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Real-world Interview Questions (DevOps & Cloud)
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Mock Interviews & Feedback Sessions
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Job Search Strategy & Application Tracking
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Final Analysis on Professional Portfolio