Certified Professional
AI DATA CENTER INFRASTRUCTURE
USA / Canada - MDT (GMT -7)
DATES (Training: 2 full days)
May 28-29, 2026 - Live Online
June 29-30, 2026 - Live Online
PRICE:
Early Bird Registration: $1800 (Limited Time)
General Registration: $2100
Full Agenda: 2 days (Training + Exam)
Course Overview:
This course provides a comprehensive understanding about key elements to consider when designing, managing, and optimizing data center infrastructure specifically to support Artificial Intelligence (AI) workloads (AI Systems). Participants will explore the unique requirements, challenges, and best practices for AI-centric data centers, focusing on power, cooling, sustainability and safety considerations essential for supporting high-performance AI Systems.
Key Learning Objectives:
Understand the fundamental differences in data center infrastructure needs for AI systems versus traditional IT workloads.
Typical power and cooling solutions to support high-density AI hardware such as GPUs and TPUs.
Global Impact of Data Centers, and Clean Power Generation sources that support a sustainable and low emission footprint for AI Data Centers.
Best practices for Operations and Maintenance tailored for AI data centers.
Manage scalability and redundancy to ensure high availability and fault tolerance in AI environments.
Evaluate emerging technologies and sustainability considerations impacting AI data center design.
Course Format:
Instructor-led sessions with Data Center expert industry professional
Activities based on Scenarios
Case studies
Open Book Exam (75% passing score)
Certification:
Upon successful completion (training + exam), participants will receive a Certificate of Successful Completion, validating their knowledge in Data Center Infrastructure for AI Systems.
NOTE: There is a waiting period of 30 days to retake the exam, without additional cost. A “Certificate of Attendance” is issued to those not passing the exam.
What is Included with the training:
Complete Course Deck (PDF Format)
Certificate of Successful Completion (75% Pass Mark) or Certificate of Attendance (PDF Format)
Digital Credential (Successful Completion)
Who Should Enroll:
Data center professionals aiming to specialize in AI system infrastructure
IT managers and project leaders overseeing AI data center deployments
Engineers and architects designing and optimizing data centers for AI workloads
Data Center Consultants
In Association with:
CoolSim is a CFD (Computational Fluid Dynamics) solution, designed for Data Center facilities. All CFD simulations demonstrated in this program were developed by CoolSim. https://www.coolsimsoftware.com
Europe, Middle East, Africa (GMT +3)
DATES (Training: 2 full days)
May 25-26, 2026 - Live Online
Asia - Pacific (GMT +9)
DATES (Training: 2 full days)
June 4-5, 2026 - Live Online
Course Instructor
Mr. Jorge A. Gil, DCEP
Mr. Gil is the Principal of SERES, LLC a Mission Critical Consulting firm founded in 2009, focused on Data Center training, Reliability, Sustainability and Research. Previously, Mr. Gil worked for 20 years in a multinational holding leading the Design and Operations of High-Performance Computing, Telecommunications and Disaster Recovery solutions.
Mr. Gil is a Full Program Instructor of the DOE DCEP program (Modules: Generalist, IT Specialist, HVAC Specialist, Electrical Specialist). DOE Data Center Energy Practitioner program (Lawrence Berkeley National Laboratory): https://datacenters.lbl.gov/dcep
As a Researcher, Mr. Gil has contributed to the Data Center Industry with Data Center methods and metrics that measure the IT Load Power/Space Utilization (IT Room Utilization - ITRU), and authored a Scale that measure the Impact and Depth of Downtime in Data Centers (Downtime Severity Levels - DSL). He also developed a Site Location Risk Index that can assess geo-located threats and data center mitigation infrastructure. Mr. Gil has been invited as speaker at various international conferences including, Data Center & AI Infrastructure Conferences, OCP – Open Compute Project Global Summit & FTS, Disaster Recovery Journal Conferences, Anixter Conferences, IBM events, among others.
His most recent contribution is a classification method to standardize “Rack Densities Categories in the age of AI” (Published in 7x24Exchange Magazine Fall 2025).
Take a look at the New framework for Rack Densities Categories: