Learning Path Overview

DevOps

Master the culture, tools, and practices that bridge software development and reliable production operations.

DevOps is not a tool — it is a way of working. This path takes learners through the mindset, practices, and technical skills needed to build, ship, and operate software with speed and reliability. From version control and CI/CD pipelines to infrastructure as code and observability, every stage is designed to connect engineering work directly to production outcomes.

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Introduction

What this path is about

DevOps is not a tool — it is a way of working. This path takes learners through the mindset, practices, and technical skills needed to build, ship, and operate software with speed and reliability. From version control and CI/CD pipelines to infrastructure as code and observability, every stage is designed to connect engineering work directly to production outcomes.

Goals

What you should be able to do

  • Understand the DevOps culture, principles, and how they improve delivery speed and system reliability.
  • Build and maintain CI/CD pipelines that automate testing, integration, and deployment.
  • Manage infrastructure as code using containers, orchestration, and cloud platforms.
  • Operate production systems with strong monitoring, alerting, and incident response practices.

Path Structure

What is inside the DevOps path

The path is split into practical stages. Each stage prepares you for the next one, so you do not just memorize concepts, you build real delivery readiness.

01Stage One

DevOps Foundations

Understand the DevOps philosophy, feedback loops, and foundational technical practices that enable high-performing teams.

  • DevOps culture: collaboration, shared responsibility, and continuous improvement
  • Version control mastery: branching strategies, pull requests, and Git workflows
  • Linux fundamentals, shell scripting, and command-line productivity
  • Networking basics relevant to application and infrastructure work
02Stage Two

CI/CD and Automation

Design and implement automated pipelines that deliver tested, reliable software consistently.

  • Continuous integration: automated builds, testing gates, and code quality checks
  • Continuous delivery and deployment: pipeline design, environments, and rollback strategies
  • Artifact management, versioning, and dependency control
  • Security scanning and compliance checks in the delivery pipeline
03Stage Three

Infrastructure and Cloud

Provision and manage infrastructure programmatically across cloud platforms using containers and orchestration.

  • Infrastructure as code: Terraform and cloud-native provisioning patterns
  • Containers with Docker: images, registries, networking, and multi-container setups
  • Kubernetes fundamentals: pods, deployments, services, and cluster management
  • Cloud platform essentials: compute, storage, networking, and managed services
04Stage Four

Monitoring, Security, and Reliability

Build production-grade observability and apply security and reliability engineering principles to real systems.

  • Observability: metrics, logs, traces, and actionable alerting strategies
  • Incident management: on-call practices, post-mortems, and learning from failure
  • DevSecOps: shifting security left, secrets management, and vulnerability response
  • SRE principles: SLOs, SLAs, error budgets, and reliability as a product feature

Lecture Plan

Planned lessons

These lessons represent the current direction. Detailed modules will be expanded progressively as the curriculum is finalized.

DV02Coming Soon

More lessons coming soon

Next Step

More lessons are on the way

This page gives you a clear roadmap. The detailed lessons will be published in phases as we complete each module.

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