
Learn the core DevOps fundamentals, the differences between waterfall, agile, and DevOps, and how automation through pipelines and cloud tools enables faster, reliable production delivery.
Learn to manage Linux files and directories using ls, touch, cat, mkdir, cp, mv, rm, diff, wc, sort, and grep with pipes and redirection.
Explore Linux shell scripting by writing .sh scripts that automate commands, using shebangs to select interpreters, managing permissions, and printing system info.
Master crontab scheduling and cron jobs, including format, common commands, and step-by-step setup. Use arc command for data processing and compare echo versus printf for formatted output.
Learn Maven build and dependency management on Linux EC2, including pom.xml, lifecycles, artifacts, and repositories, then compile, test, and package to a runnable jar with embedded Tomcat on port 8080.
Master three-way merges in Git by using a common ancestor, target and source commits to merge feature branches into main, and differentiate no-conflict and conflict scenarios with manual resolution.
Master git undo operations, including restore, reset, revert, and stash, and learn file ignoring with .gitignore and skip-worktree to manage tracked and untracked files.
Explore Jenkins as the king of CI/CD, understand continuous integration, delivery, and deployment, and follow a hands-on installation and setup of Jenkins on Ubuntu, including plugins and pipelines.
Explore upstream and downstream Jenkins jobs, the build pipeline view, and backup and recovery of the Jenkins home directory.
Explore how Kubernetes clusters and pods work, from local practice with Docker Desktop, minikube, and kind to cloud managed services like AWS EKS, using kubectl and eksctl.
Learn how pods and containers are scheduled with resource requests and limits, with nginx demos and node capacity. See init containers waiting for services before the main application starts.
Become a job-ready DevOps Engineer by mastering the complete DevOps lifecycle—from Linux and Git to Docker, Kubernetes, Jenkins, Terraform, AWS, and the latest AI-powered DevOps workflows. This course is designed for absolute beginners as well as software developers, testers, system administrators, and cloud professionals who want practical, real-world DevOps skills.
Through hands-on projects, you'll build CI/CD pipelines, containerize applications, deploy workloads on Kubernetes and Amazon EKS, automate infrastructure with Terraform and Ansible, implement DevSecOps practices, and create AI agents for DevOps automation.
Instructor: Mr. Madan — 15+ years of industry experience in Development, Automation Test Architecture, DevOps, and Senior Cloud Engineering.
What you'll learn
Understand the complete DevOps lifecycle, culture, CI/CD, and cloud computing fundamentals.
Master Linux administration, shell scripting, and task automation.
Build and manage Java projects using Maven and deploy applications on Apache Tomcat.
Learn Git & GitHub for version control, branching, collaboration, and pull requests.
Perform static code analysis using SonarQube and manage artifacts with Nexus Repository Manager.
Containerize applications using Docker.
Master Kubernetes from beginner to advanced, including Pods, Deployments, Services, Ingress, Helm, RBAC, StatefulSets, Autoscaling, and troubleshooting.
Deploy production-ready applications on Amazon EKS using Docker Hub and Amazon ECR.
Build complete CI/CD pipelines with Jenkins using Declarative and Scripted Pipelines.
Automate server configuration with Ansible and provision cloud infrastructure using Terraform.
Secure your DevOps pipeline with Trivy vulnerability scanning and DevSecOps practices.
Learn core AWS services including IAM, EC2, S3, RDS, VPC, Route 53, Lambda, CloudWatch, Auto Scaling, and EKS.
Who should take this course?
Beginners who want to start a DevOps career
Software Developers
Automation Test Engineers / QA Engineers
System Administrators
Cloud Engineers
Site Reliability Engineers (SRE)
Anyone preparing for DevOps interviews
Prerequisites
No prior DevOps experience is required. Basic computer knowledge is enough. All tools—including Linux, Docker, Kubernetes, Jenkins, Terraform, AWS, and AI workflows—are covered from scratch with practical demonstrations.
Why choose this course?
Beginner to Advanced roadmap
Real-world industry projects
Production-oriented CI/CD pipelines
Kubernetes + Amazon EKS hands-on
DevSecOps & Security Scanning
Infrastructure as Code with Terraform
AI-powered DevOps and Agentic Automation
Lifetime access with future updates
Start your DevOps journey today and gain the practical skills required for modern cloud and DevOps engineering roles.