BACKEND & INFRASTRUCTURE · ADVANCED

DevOps with Docker and Kubernetes

Containerise an application, run it on Kubernetes, ship it through a pipeline, and operate it once it is live.

·8,640 learners·12 lessons · 2h 40m·Updated Sep 2026

COURSE · BACKEND & INFRASTRUCTURE

DevOps with Docker and Kubernetes

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12 LESSONS

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YOUR INSTRUCTOR

Alina Costa

Alina runs the path from a developer laptop to production and everything that can go wrong along it — build pipelines, orchestration, secrets, and the attack surface all of it creates. She teaches operations and security together, on the grounds that a system nobody can deploy safely is not actually secure.

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What you'll learn

Build lean images

Write Dockerfiles that cache well and produce small, reproducible images.

Run workloads on Kubernetes

Deployments, services, ingress, and configuration, without cargo-culting YAML.

Automate delivery

Build a pipeline that tests, builds, and rolls out — and rolls back when it should.

Operate what you deployed

Monitor, scale, and debug a running cluster with limits that make sense.

Course content

4 MODULES · 12 LESSONS · 2H 40M TOTAL

MODULE 01 Containers and Images

What a container actually is, and how to build images that are small, fast, and reproducible.

3 LESSONS · 28M

1.1Images, containers, and DockerfilesFree preview18:20 1.2Layers, caching, and multi-stage builds06:31 1.3Local stacks with Compose03:14

MODULE 02 Kubernetes Core Objects

The handful of objects you need before any of the rest of Kubernetes makes sense.

3 LESSONS · 29M

2.1Pods, ReplicaSets, and Deployments06:28 2.2Services and ingressRESUME 02:5005:41 2.3ConfigMaps and Secrets16:54

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