Kubernetes is the Linux of container orchestration — complex, powerful, and unavoidable at scale. This course covers the architecture, the API objects you will use every day, scaling, and Helm for packaging deployments into reusable charts.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on kubernetes and container orchestration you can find — even without producing a single minute of custom video.
This course is built by people who ship production kubernetes systems for a living. It reflects how things actually work on real projects — not how the documentation describes them.
Every day has working code snippets you can paste into your editor and run right now. The emphasis is on understanding what each line does, not memorizing syntax.
Instead of shooting videos that go stale in six months, Precision AI Academy links to the definitive open-source implementations, official documentation, and the best conference talks on the topic.
Each day is designed to finish in about an hour of focused reading plus hands-on work. You can do the whole course over a week of lunch breaks. No calendar commitment, no live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
The control plane (API server, etcd, scheduler, controller manager) and the data plane (kubelet, kube-proxy, container runtime). Why the pod is the smallest deployable unit.
How Deployments manage ReplicaSets, rolling update strategies, rollback, and the reconciliation loop that keeps your declared state actual.
ClusterIP, NodePort, LoadBalancer, and Ingress. How kube-proxy routes traffic and how Ingress controllers terminate TLS and route by path.
Horizontal Pod Autoscaler, Vertical Pod Autoscaler, resource requests and limits, and the QoS classes that determine which pods get evicted first under pressure.
Helm charts, values files, releases, hooks, and the patterns for deploying multi-environment applications with a single chart.
Instead of shooting our own videos, Precision AI Academy links to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Pod architecture, deployments, services, and the kubectl commands you use every day.
How ClusterIP, NodePort, LoadBalancer, and Ingress work under the hood.
Creating, installing, and upgrading Helm charts. Values files and the templating system.
Resource requests, limits, QoS classes, and the Horizontal Pod Autoscaler.
The best way to understand any technology is to read the production-grade implementations that prove it works. These repositories implement patterns from every day of this course.
The orchestrator itself. Reading the scheduler and controller manager source explains why Kubernetes’ reconciliation loop is so reliable.
The Kubernetes package manager used in Day 5. The chart rendering and release management source shows how values are injected into templates.
The most deployed Kubernetes Ingress controller. The annotation documentation explains all the routing and TLS configuration options.
GitOps continuous delivery for Kubernetes. The next step after this course for teams using Git as the source of truth for cluster state.
You container your apps. This course teaches the Kubernetes abstractions that handle scheduling, scaling, and service discovery automatically.
K8s is the foundation of modern platform engineering. This course covers the primitives you need to build developer platforms on top of Kubernetes.
You need your API to handle traffic spikes automatically and restart when it crashes. Kubernetes’s HPA and controllers do both. This course shows you how.
The 2-day in-person Precision AI Academy bootcamp covers Kubernetes and container orchestration hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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