DevOps Zero to Hero: Practical Systems, CI/CD, and Cloud Engineering
Master modern DevOps from scratch. Learn SDLC, Linux Shell Scripting, Git, AWS, Terraform, Ansible, Docker, Jenkins CI/CD pipelines, and production-grade Kubernetes orchestration with real-world projects.

Course Overview This comprehensive, project-driven course is designed to take you from absolute zero to a production-ready DevOps Engineer. You will bridge the gap between development and operations by mastering system administration, cloud infrastructure, automation pipelines, containerization, and modern orchestration platforms. ### What You'll Learn * Infrastructure & Automation: Master Linux administration, shell scripting, and infrastructure management. * Cloud & IaC: Provision and manage resources programmatically on AWS and Azure using Terraform and Ansible. * CI/CD Pipelines: Build robust delivery pipelines using Jenkins, GitHub Actions, and GitOps methodologies. * Containerization & Orchestration: Package applications with Docker and manage complex microservices with Kubernetes. * Monitoring & Observability: Implement real-time cluster monitoring with Prometheus and Grafana. ### Prerequisites * Basic computer literacy and familiarity with fundamental programming concepts. * A computer (Windows, macOS, or Linux) with administrative privileges to install local tools. * No prior cloud or systems administration experience is required. ### Tools & Technologies * Version Control: Git, GitHub * Operating Systems: Linux (Ubuntu/CentOS) * Cloud Providers: Amazon Web Services (AWS), Microsoft Azure * Configuration Management & IaC: Ansible, Terraform * Container Platforms: Docker, Docker Compose, Kubernetes, Minikube * CI/CD & GitOps: Jenkins, GitHub Actions, Argo CD, Helm * Monitoring: Prometheus, Grafana
Course Content
Foundations of DevOps & Cloud Infrastructure
Fundamentals of DevOps: Core Concepts and Culture
Optimizing the Software Development Life Cycle (SDLC)
Virtual Machines: Core Concepts, Hypervisors, and Architecture
Provisioning Virtual Machines on AWS and Azure
AWS CLI: Programmatic Infrastructure Management
Linux Automation & Bash Shell Scripting
Introduction to Linux & Shell Scripting Basics
Core Scripting Concepts and System Monitoring
Advanced Scripting, Error Handling, and Text Processing
Linux & Shell Scripting Interview Q&A
AWS Resource Tracker Shell Scripting Project
GitHub API Integration with Bash Scripting
Version Control, Git Branching & Agile Workflows
Introduction to Git, GitHub, and Version Control Systems
Mastering Git Branching Strategies for Enterprise Workflows
Essential Git Commands and DevOps Interview Preparation
Agile Methodologies and Project Management for DevOps Engineers
Enterprise Jira Workflows, Scrum, and Sprint Planning
Infrastructure as Code & Configuration Management
Introduction to Configuration Management and Ansible
Mastering Ansible Playbooks and Ad-Hoc Commands
Foundations of Infrastructure as Code (IaC) with Terraform
Developing with Terraform: State, Modules, and Remote Backends
Continuous Integration & GitHub Actions Pipelines
Introduction to CI/CD and Pipeline Architectures
Jenkins Zero to Hero: Multi-Project Pipeline Automation
GitHub Actions Zero to Hero: Modern Workflow Automation
GitHub Actions Self-Hosted Runners on AWS EC2
CI/CD Interview Masterclass: Scenario-Based Questions
Containerization & Microservices with Docker
Introduction to Containers & Docker Basics
Practical Containerization & Dockerfile Best Practices
Containerizing a Django Application
Optimizing Images with Multi-Stage Builds & Distroless
Managing Persistent Data with Volumes & Bind Mounts
Docker Networking Deep Dive
Multi-Container Orchestration with Docker Compose
Full-Stack Deployment: Containerizing a MERN App
Docker Interview Q&A and Troubleshooting
Production Orchestration with Kubernetes
Kubernetes Architecture and Control Plane Deep Dive
Deploying Workloads: Pods, ReplicaSets, and Deployments
Kubernetes Services: Load Balancing and Service Discovery
Modern Traffic Management with Gateway API
Kubernetes Configuration Management: ConfigMaps and Secrets
End-to-End Enterprise CI/CD & Deployments
Introduction to Enterprise CI/CD Systems
Jenkins Zero to Hero: Docker Agents & GitOps
Designing an End-to-End Enterprise CI/CD Pipeline
Implementing Jenkins GitOps Pipeline with Helm & Argo CD
This course includes
- 28h 25m on-demand video
- 43 lessons across 8 chapters
- 8 interactive quizzes
- Access on mobile and desktop
- Source playlist on YouTube
Topics Covered
About the Channel
Hi Everyone, My name is Abhishek and welcome to my channel :) I am an opensource enthusiast and a great believer in sharing knowledge. I have my footprints in popular opensource projects like Argo CD, Argo CD Operator, Argo Rollouts Manager, GitOps Operator, F5 Ingress Controller, Nginx Ingress Controller by Nginx and others. Apart from working with Red Hat as a GitOps product lead, I also hold below positions in OpenSource communities - Maintainer of Argo CD Operator - Creator of Argo Rollouts Manager - Maintainer of RedHat Developer (GitOps operator) - Member of Argo Project - Member of Argo SIG Security If you want to learn complete devops for free with practical projects, checkout the playlist https://www.youtube.com/playlist?list=PLdpzxOOAlwvIKMhk8WhzN1pYoJ1YU8Csa Please subscribe to the channel to keep learning and growing together. Thanks :) For collaborations & paid promotions email me at : abhishekpromotes@gmail.com
Share
Related Courses

AWS Cloud DevOps Masters: Zero to Hero Production-Ready Architecture
Master AWS cloud engineering and DevOps practices. Learn to design, deploy, and automate secure, scalable, and cost-optimized infrastructures using VPC, EC2, IAM, EKS, CI/CD pipelines, and Infrastructure as Code.

Understanding MOSFETs: The Physics of Semiconductor Switching
Explore the inner workings of MOSFETs, the solid-state switches driving the modern electronic revolution. Learn about semiconductor physics, gate voltage control, and how these micro-scale devices manage current without any moving parts.

Building AI-Powered Automation Systems with Codex
Master Codex to build a fully functional YouTube comment intelligence system. Learn to configure APIs, design interactive dashboards, build reusable skills, deploy with GitHub and Vercel, and implement automated browser QA workflows.