CloudOps Foundry
06 / FLAGSHIP

Production AI Infrastructure

The full stack, end to end, run the way production actually runs.

FORMAT8 live instructor-led sessions + Failure Lab access
LEVELAdvanced
DURATION8 sessions
LAB ACCESSIncluded

Who it's for

  • · Infrastructure architects designing a private AI platform
  • · Senior platform and SRE engineers responsible for production AI infrastructure

Prerequisites

  • · GPU Kubernetes or equivalent experience
  • · Production operations experience in Linux/Kubernetes environments

What you will build

  • · A production-grade AI infrastructure stack: bare metal through multi-tenant inference
  • · Security and isolation boundaries for shared GPU infrastructure
  • · An operational runbook for the platform you build

What can break

  • · Every layer of the stack — this course integrates the full Failure Lab catalog into a single environment
CURRICULUM
01

Foundation

  • · Bare metal, Linux, GPU drivers, CUDA
02

Runtime and orchestration

  • · Container runtime
  • · Kubernetes and Slurm side by side
03

Platform services

  • · GPU scheduling
  • · Networking and storage at scale
04

Operations

  • · Observability
  • · Multi-tenancy and security
  • · Inference and training workloads in production

Lab environment

Full Failure Lab access across a production-shaped, multi-tenant GPU environment.

Outcomes

  • · You can design, build, and operate a production AI infrastructure platform
  • · You can defend every architectural decision under operational pressure

Instructor

Built by engineers who have operated infrastructure in the real world.

Mr. Bingi, Founder

LIVE COHORTS

Scheduled across US, Europe, India, Japan, and Middle East.

No cohorts are currently scheduled for this course. Join a Break My Cluster session in the meantime, or reach out and we'll let you know as soon as dates are announced.

FAQ

Is this the right starting point?

No — this is the capstone. Most engineers arrive here through GPU Kubernetes or AI Infrastructure Fundamentals.

Is Slurm required?

Slurm is covered alongside Kubernetes for teams running HPC-style training workloads.

The full stack, end to end, run the way production actually runs.