📚 DevOps Full Syllabus (Structured as Units/Phases)
🧑🏫 Designed for Freshers | 🎯 Beginner to Advanced | Tools + Projects + Deployment
✅ UNIT 1: DevOps Fundamentals & Linux Basics
⏳ Duration: 2 Weeks
📘 Topics:
          What is DevOps? Why DevOps?
          SDLC vs Agile vs DevOps
          DevOps Lifecycle Stages
          DevOps Culture & Collaboration
          Introduction to Linux
          Linux Command Line Basics
          File Permissions, Processes, Package Managers
🛠 Tools/Concepts:
          Linux (Ubuntu)
          Terminal/Bash
          VS Code (Editor)
✅ UNIT 2: Git & Version Control
⏳ Duration: 1 Week
📘 Topics:
          Introduction to Git
          Git Workflow (clone, add, commit, push, pull)
          Branching and Merging
          Git Rebase, Git Stash
          Working with Remote Repositories (GitHub/GitLab)
          Pull Requests, Forking, Issue Tracking
🛠 Tools:
          Git
          GitHub / GitLab / Bitbucket
✅ UNIT 3: CI/CD Fundamentals with Jenkins
⏳ Duration: 2 Weeks
📘 Topics:
          What is Continuous Integration (CI)?
          CI/CD Pipeline Overview
          Jenkins Installation & Setup
          Creating Freestyle Projects
          Jenkins Pipelines (Scripted & Declarative)
          Integrating Jenkins with GitHub
          Webhooks & Automation Triggers
🛠 Tools:
          Jenkins
          GitHub Actions (Optional)
          Maven (Java projects)
          SonarQube (Code Quality)
✅ UNIT 4: Configuration Management with Ansible
⏳ Duration: 1–1.5 Weeks
📘 Topics:
          What is Configuration Management?
          Introduction to Ansible
          Ansible Architecture: Inventory, Playbooks, Modules
          Writing Ansible Playbooks (YAML)
          Running Tasks & Roles
          Idempotency and Error Handling
          Use Cases: Installing NGINX, Setting Up Servers
🛠 Tools:
          Ansible
          YAML
✅ UNIT 5: Containerization with Docker
⏳ Duration: 1.5–2 Weeks
📘 Topics:
          Introduction to Containers & Docker
          Docker Architecture
          Docker Images & Containers
          Dockerfile, Docker Compose
          Docker Volumes & Networking
          Container Lifecycle Management
          Running Multi-Container Apps
🛠 Tools:
          Docker
          DockerHub
          Docker Compose
✅ UNIT 6: Container Orchestration with Kubernetes (K8s)
⏳ Duration: 2.5–3 Weeks
📘 Topics:
          Why Kubernetes? Need for Orchestration
          Kubernetes Architecture (Master, Nodes, Kubelet, etc.)
          Pods, ReplicaSets, Deployments
          Services (ClusterIP, NodePort, LoadBalancer)
          ConfigMaps, Secrets, Volumes
          Helm (Kubernetes Package Manager)
          Setting Up Local K8s (Minikube/Kind)
🛠 Tools:
          Kubernetes (kubectl)
          Minikube or Kind (Local K8s)
          Helm
✅ UNIT 7: Continuous Deployment (CD) Strategies
⏳ Duration: 1 Week
📘 Topics:
          What is Continuous Deployment?
          CI vs CD vs Continuous Delivery
          Deployment Strategies: Blue/Green, Canary, Rolling
          Building a CD Pipeline in Jenkins
          Automating Deployments to Cloud
🛠 Tools:
          Jenkins Pipelines
          Spinnaker / ArgoCD (Optional)
          AWS for deployment
✅ UNIT 8: Monitoring & Logging
⏳ Duration: 2 Weeks
📘 Topics:
          Importance of Monitoring in DevOps
          Types: Metrics, Logging, Tracing, Alerts
          Introduction to Prometheus (Monitoring)
          Introduction to Grafana (Visualization)
          Working with Exporters (Node, cAdvisor)
          ELK Stack: Elasticsearch, Logstash, Kibana
🛠 Tools:
          Prometheus
          Grafana
          ELK Stack (Optional)
✅ UNIT 9: Cloud & Infrastructure as Code (IaC)
⏳ Duration: 2.5 Weeks
📘 Topics:
          Introduction to Cloud Computing
          AWS Overview: EC2, S3, IAM, VPC, RDS
          Setting Up EC2 Servers for DevOps Projects
          Intro to Infrastructure as Code (IaC)
          Basics of Terraform: Providers, Resources, State Files
          Writing Terraform Scripts to Launch EC2
🛠 Tools:
          AWS (Free Tier)
          AWS CLI
          Terraform
          IAM, EC2, S3, RDS, VPC
✅ UNIT 10: Capstone Project + DevOps Resume Building
⏳ Duration: 2 Weeks
📘 Topics:
          Build Full CI/CD DevOps Pipeline:
               o   Code → GitHub → Jenkins → Docker → Kubernetes → AWS
          Monitor App with Prometheus & Grafana
          Create Resume + GitHub Project Portfolio
          Mock Interviews & Scenario-Based Q&A
🛠 Project Stack:
          Node.js or Java app
          Jenkins + Docker + Kubernetes + AWS
          Prometheus/Grafana
          Ansible for provisioning
📌 Suggested Duration: 5 to 6 Months
✅ Practice daily for 1–2 hours
✅ Weekend revision + project implementation
✅ Create a GitHub DevOps diary to track everything you learn
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📘 DevOps Full Course Syllabus (Structured by Units)
🧑🏫 Designed for Absolute Beginners | 💼 Industry-Ready | 📆 Duration: ~6 Months
🧩 Unit 1: DevOps Fundamentals & Linux Basics
🎯 Objective:
Understand the DevOps mindset, workflow, and basic Linux OS concepts.
📚 Topics:
          What is DevOps?
          DevOps Lifecycle & Phases
          Agile vs DevOps vs Waterfall
          Introduction to Linux (Ubuntu/CentOS)
          Basic Linux Commands (file handling, navigation, permissions)
          Bash scripting basics
🔧 Tools:
          Linux (Ubuntu)
          Terminal / Bash
          Visual Studio Code
🧩 Unit 2: Version Control with Git & GitHub
🎯 Objective:
Learn collaborative source code management.
📚 Topics:
          Introduction to Git and GitHub
          Git Installation & Setup
          Git Commands (clone, add, commit, push, pull, merge, branch)
          Git Branching & Merging Strategies
          GitHub Pull Requests and Issues
🔧 Tools:
          Git
          GitHub
          Git Bash
🧩 Unit 3: Continuous Integration with Jenkins
🎯 Objective:
Automate build and integration processes.
📚 Topics:
          CI/CD Concepts
          Installing Jenkins
          Jenkins Job Configuration
          Jenkins Plugins & Pipelines
          Integration with GitHub
          Freestyle Jobs vs Pipelines
🔧 Tools:
          Jenkins
          Git
          GitHub
          Maven (Java-based projects)
🧩 Unit 4: Configuration Management with Ansible
🎯 Objective:
Automate infrastructure setup and application deployment.
📚 Topics:
          Introduction to Ansible & YAML
          Inventory Files
          Writing Playbooks & Roles
          Modules, Handlers, Variables
          Idempotency in Ansible
          SSH & Ansible Vault
🔧 Tools:
          Ansible
          YAML
          VirtualBox/Vagrant (optional for testing)
🧩 Unit 5: Containerization with Docker
🎯 Objective:
Learn packaging, deploying, and running applications in containers.
📚 Topics:
          What is Docker & Why Use It?
          Docker Architecture & CLI
          Docker Images & Containers
          Dockerfile & Image Build
          Docker Compose (multi-container apps)
          Docker Volumes & Networking
🔧 Tools:
          Docker
          DockerHub
          VS Code with Docker Extension
🧩 Unit 6: Container Orchestration with Kubernetes
🎯 Objective:
Manage containerized applications at scale.
📚 Topics:
          Kubernetes Architecture
          Pods, ReplicaSets, Deployments
          Services & Ingress
          ConfigMaps & Secrets
          Kubernetes YAML manifests
          Helm Charts (basics)
🔧 Tools:
          Kubernetes (Minikube, kubectl)
          Helm
          Lens (K8s GUI - optional)
🧩 Unit 7: Continuous Delivery & Deployment
🎯 Objective:
Automate deployment workflows and understand advanced release strategies.
📚 Topics:
          CI vs CD vs Continuous Deployment
          Jenkins Pipeline (Declarative)
          Deployment Strategies (Rolling, Blue-Green, Canary)
          GitOps Introduction (ArgoCD basics)
          Integrating Docker + K8s + Jenkins
🔧 Tools:
          Jenkins (with Pipeline)
          Docker
          Kubernetes
          ArgoCD (Optional)
🧩 Unit 8: Monitoring & Logging
🎯 Objective:
Ensure observability and real-time monitoring of systems.
📚 Topics:
          Monitoring Concepts: Metrics, Logs, Tracing
          Prometheus for Metrics Collection
          Grafana for Visualization
          Alerts in Grafana
          ELK Stack: Elasticsearch, Logstash, Kibana
          Centralized Logging with Fluentd
🔧 Tools:
          Prometheus
          Grafana
          ELK Stack (Filebeat, Logstash, Kibana)
          Loki (optional lightweight logger)
🧩 Unit 9: Cloud & Infrastructure as Code
🎯 Objective:
Deploy and manage DevOps workflows on cloud infrastructure.
📚 Topics:
          Introduction to Cloud Computing
          AWS Core Services (EC2, S3, IAM, VPC, RDS)
          AWS CLI & IAM roles
          Terraform for Infrastructure as Code (IaC)
          Provisioning EC2/S3/RDS via Terraform
          Deploying Docker/K8s on AWS
🔧 Tools:
          AWS (Free Tier)
          AWS CLI
          Terraform
🧩 Unit 10: Real-World Projects & Interview Preparation
🎯 Objective:
Apply all your knowledge to real-world use cases & prepare for job interviews.
📚 Projects:
          CI/CD Pipeline: Git → Jenkins → Docker → Kubernetes
          Deploy a React App or Spring Boot App in EKS (Kubernetes on AWS)
          Monitoring with Prometheus + Grafana + AlertManager
          Infrastructure Provisioning using Terraform
📚 Interview Prep:
          DevOps Common Interview Questions
       Resume Projects & Documentation
       GitHub Portfolio Building
       Mock Interview Scenarios
📜 Final Certification (Optional)
       Docker Certified Associate
       Certified Kubernetes Administrator (CKA)
       AWS Certified DevOps Engineer - Associate
       HashiCorp Certified: Terraform Associate