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? DevOps Full Syllabus

The document outlines a comprehensive DevOps syllabus structured into ten units, covering topics from DevOps fundamentals and Linux basics to advanced concepts like continuous deployment and cloud infrastructure. Each unit includes specific objectives, topics, and tools, with a suggested duration of approximately 5 to 6 months for completion. The course is designed for beginners and includes practical projects and interview preparation to ensure industry readiness.

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0% found this document useful (0 votes)
76 views11 pages

? DevOps Full Syllabus

The document outlines a comprehensive DevOps syllabus structured into ten units, covering topics from DevOps fundamentals and Linux basics to advanced concepts like continuous deployment and cloud infrastructure. Each unit includes specific objectives, topics, and tools, with a suggested duration of approximately 5 to 6 months for completion. The course is designed for beginners and includes practical projects and interview preparation to ensure industry readiness.

Uploaded by

k3509835
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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📚 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

🎁 Want it as PDF or Google Doc?

I can export this syllabus + roadmap + resource list into a clean, formatted PDF or Google Doc. Just
say:
“Yes, give me the PDF.”
or
“Yes, share the Google Doc version.”

Would you like me to prepare that?

📘 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

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