🎓 Professional Training Program✨ Premium Content

AI Data Center Engineering Professional Training Program

A full professional engineering curriculum for GPU-scale AI infrastructure — 25 modules and 8 complete real-facility design packages, with worked calculations, drawings, field documentation, and a certificate of completion.

25 modules in 5 phases, with worked examples, interactive tools, labs and a quiz in every one, and a certificate of completion.

25 Modules5 PhasesInteractive lessons8 Real ProjectsDocumentation KitQuizzesCertificate

The big picture

Follow the arrows from the top, or jump straight into any module. Each box shows the labs, calculators and drawings you will use.

Program

25 modules in 5 phases

›

Phase

a group of modules with one outcome

›

Module

one unit of the program, numbered in order

›

Topic

a part of a module

›

Step

one screen inside a module

▶ START HERE

Foundations

Covers Introduction to AI Data Center Engineering, Codes & Standards, Power Delivery Architecture, Cooling Technologies and GPU Cluster Network Fabric.

0/5 done

🖥️Module 1🔒

Introduction to AI Data Center Engineering

Why AI/GPU data centers are a distinct engineering discipline — power, cooling, and network fabric as one interacting system.

🔬 2📄 1

📖Module 2🔒

Codes & Standards

NFPA 76, ASHRAE TC9.9, Uptime Institute Tiers, and NEC Article 645.

🔌Module 3🔒

Power Delivery Architecture

Utility service through UPS, PDUs, and busway distribution to the rack.

🔬 2🧮 1📄 1

❄️Module 4🔒

Cooling Technologies

Rear-door heat exchangers, direct-to-chip, immersion cooling, and CDU architecture.

📄 1🧮 1🔬 2

🌐Module 5🔒

GPU Cluster Network Fabric

InfiniBand vs. RoCE, leaf-spine topology, and physical layout implications.

Design & Engineering

Covers Rack Power Density Design, Electrical Calculations, Cooling Load Calculations, Grid Interconnection & On-Site Generation and Redundancy & Availability.

0/5 done

📐Module 6🔒

Rack Power Density Design

From GPU server specs to a completed PDU circuit schedule.

📄 1🧮 1🔬 1

🧮Module 7🔒

Electrical Calculations

Worked examples — UPS sizing, voltage drop, and generator step-load.

🌡️Module 8🔒

Cooling Load Calculations

Worked examples — cooling tons, liquid/air split, CDU flow rate.

🧮 1📄 1🔬 2

⚡Module 9🔒

Grid Interconnection & On-Site Generation

Utility interconnection studies and on-site generation as a capacity bridge.

🔬 1

🛡️Module 10🔒

Redundancy & Availability

N+1 vs. 2N architecture and the cost/availability tradeoff.

📄 1🔬 1

Documentation & Field Skills

Covers Drawings, Installation & Commissioning, Monitoring & DCIM, Troubleshooting and Efficiency Metrics & Reporting.

0/5 done

📋Module 11🔒

Drawings

One-line diagrams, cooling P&IDs, rack elevations, and white-space plans.

🔧Module 12🔒

Installation & Commissioning

Field practices, leak-detection installation, and load-bank testing.

📊Module 13🔒

Monitoring & DCIM

DCIM point design, real-time PUE/WUE, and capacity planning data.

🩺Module 14🔒

Troubleshooting

9 real diagnostic scenarios with symptoms, diagnosis, and resolution.

📈Module 15🔒

Efficiency Metrics & Reporting

PUE, WUE, and CUE calculation, and building a defensible efficiency report.

Real Projects

You apply what you have learned to 8 complete designs, starting with Colocation Retrofit for AI Workloads.

0/8 done

🏢Module 16🔒

Colocation Retrofit for AI Workloads

Retrofitting a 5 MW enterprise colo to support a 60 kW/rack liquid-cooled AI tenant.

🏙️Module 17🔒

Hyperscale Greenfield Campus

A 150 MW greenfield AI training campus with on-site substation and generation.

📡Module 18🔒

Edge AI Inference Site

A 500 kW edge inference facility co-located at a telecom central office.

🔬 1

💧Module 19🔒

Liquid-Cooled GPU Cluster Retrofit

Converting an air-cooled 2 MW hall to direct-to-chip liquid cooling.

📄 1🧮 1🔬 2

📦Module 20🔒

Modular/Containerized Data Center

A modular 1 MW facility using prefabricated power/cooling skids.

🔬 2📄 1

🎓Module 21🔒

University Research Cluster

An 800 kW research cluster built into existing campus infrastructure.

🏭Module 22🔒

Enterprise Private AI Cluster

A 300 kW private cluster for proprietary training inside corporate IT space.

🏗️Module 23🔒

Multi-Tenant AI Colocation Facility

A purpose-built multi-tenant facility with shared central utility plant.

📄 1

Resources & Certification

Covers Professional Documentation and Practice & Certification.

0/2 done

📄Module 24🔒

Professional Documentation

A downloadable kit of 12 real project templates.

🎓Module 25🔒

Practice & Certification

A final design assignment, a comprehensive exam, and your certificate of completion.

🎓 Certificate of completion

Phase by phase

Your training track

25 modules in 5 phases

Preview the path. Everything is unlocked with your purchase. Each step mixes short lessons, interactive tools, labs and practice.

Start: Introduction to AI Data Center Engineering →

🎓Certificate

Phase 1

Foundations

By the end: Covers Introduction to AI Data Center Engineering, Codes & Standards, Power Delivery Architecture, Cooling Technologies and GPU Cluster Network Fabric.

Introduction to AI Data Center EngineeringCodes & StandardsPower Delivery ArchitectureCooling Technologies

🧮 Calculator🔬 Lab🎛️ Simulator🖼️ Drawings📐 Designer📄 Article🧩 Planned, not built yet

What's in the downloadable kit?

12 real project templates — rack power/cooling schedule, PDU circuit schedule, CDU commissioning checklist, leak-detection test report, PUE/WUE calculation worksheet, generator load-bank test report, DCIM alarm response runbook, capacity planning worksheet, as-built documentation checklist, change order, RFI, and punch list. Available for download from Module 24 (Professional Documentation) once you've unlocked the program.