Role-Driven Mastery System

Master the skills the job market is actually hiring for.

Follow a job-market-audited Role Path, move through a discipline end-to-end with a Career Pathway, or pursue a university-benchmarked Academic Certificate — each with a Basic → Intermediate → Advanced ladder, direct video learning bridges and a capstone proof-of-work project.

AI Platform Engineer

Not Started0 / 13 complete

Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.

13 lessons3 levels1 capstone project
  • Build reproducible Kubernetes foundations and automated delivery
  • Operate distributed GPU systems and scalable inference
  • Expose governed self-service platforms with production SRE controls

Benchmark: OpenAI AI/Cloud Infrastructure + Anthropic Kubernetes/Inference roles (Sep 2026) Mastery ladder: 2 job-market competencies per level; 2 direct VIDEO bridges per competency (12 total).

Who’s Hiring Right Now

US openings posted in the last 7 days at OpenAI — this role’s own benchmark employers — refreshed daily, as of 2026-11-01. Pulled directly from each company’s public job board; not exhaustive, and postings close fast — worth confirming the details on the employer’s own site before applying.

Remote only:LinkedIn →Indeed →

Enrichment

BASIC

Build reproducible Kubernetes foundations and automated delivery

Kubernetes, networking and cloud platform foundations

Coverage: Kubernetes & Cloud Infrastructure

Infrastructure as code, GitOps and repeatable delivery

Coverage: Terraform, GitOps & Continuous Delivery

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