ML Systems & Infrastructure 1 — all 50 problems

Fifteen Python exercises that make you reason about the systems artefacts an ML platform runs on: Docker layer caches and image sizes, Kubernetes scheduling and rollouts, CIDR planning and firewall rules, SLO error budgets and tail latency, CI critical paths, retry backoff and spot-instance economics.