Cloud Computing & DevOps/Platform Engineering — AWS, Kubernetes, Infrastructure as Code, CI/CD, and Modern Platform Foundations

Build one real AWS Kubernetes delivery platform end to end: provision it, ship to it, observe it, tear it down.
★★★★★
★★★★★
(- ratings) - students | Created by: danBilcosky | Last updated Nov/2026 English (US)

🚀 Course Goals

  • Design and provision an Amazon EKS platform from reviewed Infrastructure as Code
  • Ship one commit through GitHub Actions, Amazon ECR and Helm into a live cluster
  • Authenticate CI to AWS with GitHub OIDC, without storing a long-lived access key

📘 About This Course

This is a build-along course. Across ten modules you assemble one coherent delivery platform on AWS and then prove it works: reviewed Infrastructure as Code provisions an Amazon EKS cluster, a multi-stage container image is built and published to ECR with its digest and SBOM, GitHub Actions authenticates to AWS with OpenID Connect and deploys through Helm, Argo CD reconciles the cluster from Git, and the running service is observed through metrics, logs, traces and a service-level objective.

Every lesson follows the same shape: a short explanation, a real demonstration on real AWS infrastructure, a controlled failure, the diagnosis, the smallest correction, a successful retest, and verified cleanup. Nothing is simulated and nothing is left running: the course ends with an inventory across every Region used in which every line has to read zero.

AWS is the only cloud used. Local Docker and Kubernetes appear only to prepare and validate workloads before they go to AWS.

What You'll Learn

Design and provision an Amazon EKS platform from reviewed Infrastructure as Code

Ship one commit through GitHub Actions, Amazon ECR and Helm into a live cluster

Authenticate CI to AWS with GitHub OIDC, without storing a long-lived access key

Build small, reproducible container images and manage their lifecycle in Amazon ECR

Operate Kubernetes workloads: storage, secrets, requests, limits and autoscaling

Instrument the platform with metrics, logs, traces, SLOs and actionable alerts

Apply layered preventive and detective security controls across Kubernetes and AWS

Control cost with FinOps practices and prove that no AWS resource is left billable

🛠️ Requirements

  • An AWS account in which you are allowed to create and delete resources
  • Comfort with the Linux command line and basic Git
  • A GitHub account for the CI/CD and GitOps modules
  • No prior Kubernetes experience needed: module 3 builds it from the ground up
  • A small AWS spend: the labs are sized to cents per hour and torn down on camera

👤 Who This Course is For

  • Developers and system administrators moving into DevOps or platform engineering
  • Cloud engineers who want one coherent AWS and Kubernetes delivery path end to end
  • Teams planning an internal developer platform and looking for a realistic scope
  • Anyone who prefers hands-on demonstrations, controlled failures and real cleanup
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  • John Doe

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