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AI workloads require advanced patterns: GPU scheduling, spot instance management, and multi-tenancy. This advanced course covers Kubernetes patterns used by teams running AI at production scale.

✅ What’s Inside:

  1. K8s Production Readiness Review
  2. GPU Node Management
  3. Custom Resource Definitions for AI
  4. Operator Pattern
  5. Horizontal and Vertical Pod Autoscaling
  6. Spot Instance Strategies
  7. Priority Classes and Preemption
  8. Network Policies for AI
  9. Storage Classes for ML
  10. Multi-Cluster Federation
  11. Cost Attribution and Showback
  12. Project: Production AI Platform on K8s