freeCodeCamp
DevOps
Intermediate

Free course on freeCodeCamp

Kubernetes Course: Full Beginners Tutorial

4 hours 4.7(16,000 reviews)Free

At a glance

Rating
Rating 4.7
Hours
4
Cost
Free

No certificate with this course.

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freeCodeCamp's Kubernetes Course teaches Kubernetes, the container orchestration platform for managing Docker containers at scale. You learn pods, services, deployments, and how to manage applications across multiple servers. The course is free on freeCodeCamp.org. After finishing, you understand Kubernetes architecture and can deploy containerized applications. Kubernetes is the industry standard for production container orchestration, used by most large organizations. The main limitation: Kubernetes is complex. This course is a foundation; mastery comes from deploying real applications and troubleshooting.

Production use of Kubernetes reached 80% of organizations running containers in 2024, up from 66% the year before (source: CNCF Annual Survey 2024, cncf.io/reports).

About This Course

freeCodeCamp's full Kubernetes course covering pods, deployments, services, ingress, ConfigMaps, secrets, and Helm. Builds on a basic Docker foundation. Free and project-based.

Course Details

Platform
freeCodeCamp
Language
DevOps
Duration
4h
Certificate
No
Cost
Free
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Frequently Asked Questions

Do I need to know Docker first?

Yes. Kubernetes orchestrates Docker containers. If you're new to Docker, start with the freeCodeCamp Docker course.

Is Kubernetes hard?

Yes. It's a complex system with many moving parts. Plan weeks or months of practice to be productive.

What's the difference between Docker and Kubernetes?

Docker runs a single container. Kubernetes manages many containers across a cluster of servers, scaling, and monitoring them.

Can I run Kubernetes locally?

Yes, Docker Desktop includes Kubernetes. Minikube is another option. Start locally, then move to cloud (AWS, GCP, Azure).

Is Kubernetes for everyone?

Not for small projects. Start with a single server. Move to Kubernetes when you need to scale across multiple machines.

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