AIDCI — AI Data Center Infrastructure

AIDCI — AI Data Center Infrastructure

Specialized program for AI data center infrastructure design and operations.

Official certification · Practitioner program

What is AIDCI?

Specialized program covering the design and operation of data centers purpose-built for AI workloads. Covers GPU density, liquid cooling, power and networking for AI factories.


Who is it for?

DC design engineers · AI infrastructure architects · HPC specialists · Anyone deploying GPU-dense clusters


Delivery and language

English (delivered in English; Spanish by request)

Live online · 2 intensive days · Solicitar cotización – 2,100.


Curriculum — AI Data Center Infrastructure

ModuleHoursContent
1. AI workload characteristics3hTraining vs inference workloads. GPU density requirements. Power and cooling profiles of modern accelerators (H100, B200, MI300). Network topology for AI fabrics.
2. Liquid cooling fundamentals3hRear-door heat exchangers, cold plates, immersion. Coolant selection. Leak detection and safety. CDU design considerations.
3. Power and distribution for AI3hHigh-density racks (50–120 kW). DC bus distribution. UPS sizing for AI loads. Generator and fuel considerations.
4. Operations and monitoring3hDCIM for AI workloads. Thermal mapping. Capacity planning. Failure mode analysis for GPU clusters.

Lead instructor

Jorge A. Gil, DCEP

Principal of SERES, LLC. 20+ years at multinational level. Full Program Instructor for DOE DCEP (4 tracks). Speaker at OCP, DRJ, IBM, 7×24 Exchange.


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Spanish version available → /aidci/