The Ultimate DevOps Bootcamp Course Syllabus

Overview: This comprehensive DevOps bootcamp is designed for beginners aiming to transition into real-world DevOps roles. The course covers end-to-end DevOps practices, from version control and CI/CD pipelines to containerization, orchestration, and monitoring. With hands-on labs and real-world projects, learners will gain practical experience using industry-standard tools. The course spans approximately 12 hours of on-demand video content, divided into structured modules that build progressively. Lifetime access ensures flexibility for self-paced learning, culminating in a final project that integrates all learned skills.

Module 1: DevOps Fundamentals

Estimated time: 0.75 hours

• Introduction to DevOps principles and culture
• Understanding the benefits of DevOps in modern software delivery
• Key concepts: CI/CD, automation, agile methodologies
• Role of collaboration in DevOps environments

Module 2: Version Control with Git & GitHub

Estimated time: 1 hour

• Installing and configuring Git
• Creating and managing repositories
• Working with branches and merge strategies
• Collaboration using GitHub pull requests

Module 3: CI/CD with Jenkins

Estimated time: 1.5 hours

• Installing and setting up Jenkins
• Creating and configuring build jobs
• Automating test and deployment workflows
• Integrating Jenkins with version control systems

Module 4: Configuration Management with Ansible

Estimated time: 1.25 hours

• Introduction to Ansible and agentless architecture
• Writing Ansible playbooks
• Managing infrastructure state with tasks and handlers
• Automating server provisioning and updates

Module 5: Infrastructure as Code with Terraform

Estimated time: 1.25 hours

• Provisioning cloud resources using Terraform
• Writing configuration files in HCL
• Managing infrastructure state in AWS and GCP

Module 6: Containerization with Docker

Estimated time: 1.25 hours

• Creating Dockerfiles and building images
• Running and managing containers
• Orchestrating multi-container applications with Docker Compose

Module 7: Orchestration with Kubernetes

Estimated time: 1.5 hours

• Understanding Kubernetes architecture
• Deploying applications using pods and services
• Scaling and managing workloads on Kubernetes clusters

Module 8: Monitoring & Logging

Estimated time: 1 hour

• Setting up monitoring with Prometheus and Grafana
• Centralized logging using the ELK stack
• Analyzing system and application performance

Module 9: Security in DevOps

Estimated time: 0.75 hours

• Securing CI/CD pipelines
• Managing secrets and access control
• Performing vulnerability scanning in containers

Module 10: Final Project – Building a DevOps Pipeline

Estimated time: 1.5 hours

• Designing a complete CI/CD pipeline
• Integrating Git, Jenkins, Docker, and Kubernetes
• Deploying a containerized application in an automated workflow

Prerequisites

• Basic familiarity with Linux command line
• Fundamental understanding of scripting (Bash or Python preferred)
• Basic knowledge of cloud computing concepts

What You'll Be Able to Do After

• Explain core DevOps principles and practices
• Set up and manage version control workflows using Git and GitHub
• Build automated CI/CD pipelines with Jenkins
• Automate infrastructure using Ansible and Terraform
• Deploy and monitor scalable applications using Docker and Kubernetes