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DevOps & Cloud Engineering

From "works on my machine" to boring deploys: Docker, CI/CD pipelines, Kubernetes fundamentals, infrastructure as code and the observability stack — taught as one coherent delivery system.

Intermediate 8 weeks · 48 hours Paid
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DevOps & Cloud Engineering

DevOps courses tend to be tool tours; this one is a systems course. The through-line is a single application that you take from laptop to production the professional way: containerized reproducibly, tested and shipped by pipeline, deployed to Kubernetes with health checks and zero-downtime rollouts, defined as code, and observable enough to debug at 2 a.m. Each tool earns its place by solving a problem you've just felt.

Built for developers moving toward platform work and sysadmins moving toward code — the two audiences DevOps was always supposed to merge.

Curriculum

  1. 1

    Linux and shell fluency: the substrate everything runs on

  2. 2

    Docker properly: images, layers, compose, registries, security basics

  3. 3

    CI/CD pipelines: build, test, artifact, deploy — GitLab CI hands-on

  4. 4

    Kubernetes fundamentals: deployments, services, probes, rollouts

  5. 5

    Infrastructure as code: Terraform mindset and workflow

  6. 6

    Observability: logs, metrics, traces and the dashboards that matter

  7. 7

    Security and secrets in the pipeline: scanning, least privilege, rotation

  8. 8

    Capstone: full pipeline from commit to monitored production deploy

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