DevOps Engineering
Automate, deploy, and scale software the way modern engineering teams do.

Overview
Modern software teams ship faster because of DevOps — the practices and tools that automate building, testing, and deploying software reliably. This course teaches you to set up the pipelines, infrastructure, and monitoring that keep production systems running.
You will work hands-on with containers, cloud infrastructure, and CI/CD pipelines, the same tooling used by engineering teams at scale.
What you'll learn
- Containerize applications using Docker
- Deploy and scale workloads with Kubernetes
- Build automated CI/CD pipelines
- Manage cloud infrastructure using infrastructure-as-code principles
- Set up monitoring and logging for production systems
Curriculum
4 modules • 12 lessons • 10 weeks
Module 1: Linux & Networking Foundations
The operating system and networking layer everything else runs on.
- Linux command line
- Shell scripting
- Networking basics
Module 2: Containers
Package and run applications consistently anywhere.
- Docker fundamentals
- Building & optimizing images
- Docker Compose
Module 3: Orchestration
Run containers reliably at scale.
- Kubernetes fundamentals
- Deployments & services
- Scaling & self-healing
Module 4: CI/CD & Cloud Infrastructure
Automate delivery and manage cloud infrastructure as code.
- CI/CD pipelines
- Infrastructure as code basics
- Monitoring & logging
Projects & Case Studies
This course's project gallery is still in development — check back soon.
Requirements
- Basic familiarity with the command line
- Some programming or scripting experience recommended
- A laptop (Windows, macOS, or Linux)
Frequently asked questions
Do I need to already know cloud platforms like AWS?
No prior cloud experience is required — core cloud concepts are covered as part of the course.
Is this course only for developers?
It is built for developers, sysadmins, and IT professionals looking to move into DevOps or platform engineering roles.
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