Train your team

AI Platform & Operations Engineer

Turn GPUs into a platform: shared, scheduled, observed, and safe to let teams use.

5 courses 105 hours of instructionBadge: AI Platform Engineer

Who it is for

Platform and MLOps engineers running shared AI infrastructure for several teams.

The sequence

  1. 1
    AIC-300 · Containers, Kubernetes & GPU Schedulers 4 days
  2. 2
    AIC-310 · Storage & Data Pipelines for AI 3 days
  3. 3
    AIC-320 · MLOps & Inference Serving 3 days
  4. 4
    AIC-330 · AI Infrastructure Security & Observability 2 days
  5. 5
    AIC-400 · Large-Scale Training & Datacenter Architecture 3 days

Capstone

Build a multi-tenant GPU platform with quotas and isolation, then prove one team cannot disturb another and say what it costs per token.

Start with the first course

Every course in the path can be taken on its own. Dates are on the course page.

AIC-300