DevOps Engineering

What You'll Learn

Certification Alignment

Every stage is mapped to the domains covered by these industry certifications. Complete this course and you'll be primed to sit each exam.

Curriculum — 7 Stages

Each stage includes hands-on labs with real infrastructure. You'll provision, configure, break, fix, and automate — not just read about it.

• 01

  Linux Fundamentals & Shell Scripting

  CLI mastery, permissions, processes, networking, and automation scripts

  ▾

  DevOps lives in the terminal. Master the Linux command line: file system navigation, permissions and ownership, process management, networking tools (curl, netstat, ss), and bash scripting for automation. Spin up a Linux VM and learn to administer it from scratch.

  ~20 hrs Bash scriptingchmod/chownsystemdcronsshgrep/sed/awkPackage managers

  🧪 Lab

  Write a bash script that monitors disk/CPU/memory usage and sends an alert when thresholds are breached.

  AWS CCPCKA Prep
• 02

  Git, Version Control & GitOps

  Branching strategies, pull requests, hooks, and Git-based deployments

  ▾

  Version control is the backbone of DevOps. Go deep on Git internals, master branching models (Git Flow, trunk-based), handle merge conflicts, use hooks for pre-commit automation, and understand GitOps — where your Git repository is the single source of truth for infrastructure.

  ~18 hrs Git internalsBranching modelsRebase vs mergeHooksGitHub PRsGitOpsSemantic versioning

  🧪 Lab

  Set up a Git repository with branch protection, a pre-commit hook for linting, and automated tagging via GitHub Actions.

• 03

  CI/CD Pipelines — GitHub Actions & Jenkins

  Automated testing, building, and deployment workflows

  ▾

  Automate the path from code to production. Build CI pipelines that run tests on every push, CD pipelines that deploy on merge, and multi-environment workflows with staging and production gates. Cover GitHub Actions in depth, then Jenkins for enterprise context.

  ~22 hrs GitHub ActionsYAML workflowsSecrets managementMatrix buildsJenkinsArtifactsRollbacks

  🧪 Lab

  Build a full CI/CD pipeline: run tests → build Docker image → push to registry → deploy to staging → promote to production.

• 04

  Docker & Containerization

  Images, containers, Compose, multi-stage builds, and registries

  ▾

  Containers changed software delivery. Build Docker images, understand layers and caching, write production-grade Dockerfiles with multi-stage builds, orchestrate multi-container apps with Docker Compose, and push images to Docker Hub and AWS ECR.

  ~22 hrs DockerfilesImage layersdocker composeMulti-stage buildsVolumes/networksECRSecurity scanning

  🧪 Lab

  Containerize a full-stack app (React + Node + PostgreSQL) using Docker Compose, with health checks and production-ready config.

  CKA PrepAWS SAA
• 05

  Kubernetes — Orchestration at Scale

  Clusters, pods, deployments, services, ingress, and Helm

  ▾

  Kubernetes is the operating system of the cloud. Build a local cluster with kubeadm or kind, deploy applications as pods and deployments, expose them with services and ingress, manage config with ConfigMaps and Secrets, set resource limits, and write Helm charts for repeatable deployments.

  ~30 hrs Pods/DeploymentsServices/IngressConfigMapsSecretsRBACHPAHelmNamespaces

  🧪 Lab

  Deploy a microservices app to a local Kubernetes cluster with ingress routing, ConfigMaps, secrets, and autoscaling.

  CKA
• 06

  Cloud Platforms & Infrastructure as Code

  AWS core services, Terraform, and automated infrastructure provisioning

  ▾

  Infrastructure should be code. Understand AWS core services in depth (EC2, VPC, S3, RDS, IAM, EKS, CloudFront), provision cloud resources with Terraform, organize reusable modules, manage remote state, and deploy a Kubernetes cluster on EKS using Terraform end-to-end. Touch Azure and GCP for comparison.

  ~32 hrs AWS EC2/VPC/S3IAMEKSTerraformModulesRemote stateTerragruntAzure/GCP intro

  🧪 Lab

  Provision a complete AWS environment with Terraform — VPC, subnets, EKS cluster, RDS instance, and S3 bucket, all from code.

  AWS CCPAWS SAATerraform Associate
• 07

  Monitoring, Observability & Incident Response

  Prometheus, Grafana, ELK stack, alerting, and on-call fundamentals

  ▾

  You can't fix what you can't see. Build a full observability stack: scrape metrics with Prometheus, visualize them in Grafana, set up alerts, aggregate logs with the ELK stack, and instrument apps with structured logging and distributed tracing. Cover on-call fundamentals — SLOs, SLAs, runbooks, and incident post-mortems.

  ~36 hrs PrometheusGrafanaAlertmanagerElasticsearchLogstashKibanaSLOs/SLAsRunbooks

  🧪 Lab — Capstone

  Deploy a full observability stack on your Kubernetes cluster — Prometheus + Grafana + ELK, with custom dashboards and PagerDuty-integrated alerts.

  AWS SAACKA Prep