“This course contains the use of artificial intelligence.”

Master AI Data Center Electrical Design, Power Distribution, UPS Sizing, Battery Systems, Generators, Electrical Safety, and Power System Studies.

Artificial intelligence is transforming data center infrastructure. High-density GPU racks, rapidly changing electrical loads, advanced cooling technologies, and growing power demands are creating new challenges for electrical engineers, design managers, and infrastructure professionals.

Traditional data center electrical design approaches must now accommodate higher rack power densities, dynamic AI workloads, increasingly complex power distribution architectures, and demanding reliability requirements.

This comprehensive course provides a practical, calculation-based approach to electrical design and sizing for modern AI data centers, taking you from individual rack requirements through electrical distribution, backup power, and utility grid connections.

Through 45 structured lessons, hundreds of worked examples, downloadable Excel calculators, and a continuous engineering case study, you will learn how to analyse, size, verify, and evaluate critical electrical infrastructure.

What Makes This Course Different?

Unlike introductory courses focused on general data center concepts, this course concentrates on real engineering design calculations, equipment sizing, electrical system performance, and technical decision-making.

You will follow a fictional AI data center project throughout the course, progressively developing and evaluating its electrical infrastructure.

Your learning resources include:

• 45 comprehensive lessons organised into 9 sections.

• 902 pages of technical study materials.

• 317 worked engineering examples with step-by-step calculations.

• 450 practice questions, including 223 calculation-based questions.

• 45 integrated engineering case studies.

• 45 downloadable Excel workbooks containing 269 calculators, registers, and checklists.

• A Student Guide and Electrical Reference Card.

• Practical design checklists and quick revision materials.

What You Will Learn

1. AI Data Center Electrical Loads

Understand how GPU workloads affect data center power consumption and electrical design.

Learn to interpret AI rack specifications, analyse synchronous load variations, develop electrical load schedules, and prepare an Electrical Basis of Design.

2. Electrical Distribution Architecture

Explore utility connections, medium-voltage and low-voltage distribution, substations, redundancy arrangements, and electrical capacity planning.

Compare different distribution architectures, including emerging high-voltage DC approaches.

3. Transformers, Switchgear, and Conductors

Learn how to size transformers, select switchgear ratings, calculate cable and busway requirements, evaluate voltage drop, and coordinate protective devices.

Understand grounding and bonding principles for mission-critical electrical infrastructure.

4. Power System Studies

Perform and interpret electrical engineering calculations, including:

• Short-circuit analysis.

• Protective device coordination.

• Arc-flash calculations.

• Load-flow and voltage regulation.

• Harmonic distortion and power quality.

• Electrical reliability and availability modelling.

5. UPS Systems and IEC 62040

Understand UPS classifications and performance requirements under IEC 62040-3.

Learn how to calculate UPS capacity, evaluate kW and kVA requirements, select modular configurations, and assess the effects of rapidly changing AI loads.

6. Battery Systems and Energy Storage

Explore VRLA and lithium-ion battery technologies, battery autonomy calculations, thermal safety, and facility-scale Battery Energy Storage Systems (BESS).

Learn how energy storage can support AI load smoothing, peak shaving, and power management.

7. Generator and Standby Power Design

Calculate generator capacity while considering temperature, altitude, electrical loading, transient performance, step-load acceptance, alternator limitations, and fuel requirements.

Understand generator paralleling, load-bank connections, and integration with AI data center loads.

8. Electrical Safety and Maintainability

Explore electrical safety principles based on NFPA 70E and relevant electrical code requirements.

Learn about arc-flash risk reduction, maintenance isolation, grounding, DC hazards, and safe electrical system handover.

9. Integrated Design and Capstone Project

Bring together electrical load calculations, distribution architecture, UPS systems, batteries, generators, cooling interfaces, power losses, and grid constraints.

Complete a practical capstone case study that follows an AI data center electrical design from rack requirements to utility connection.

Who Should Take This Course?

This course is designed for:

• Electrical design engineers working on data centers and critical infrastructure.

• Power systems engineers and electrical consultants.

• Data center design managers and technical project managers.

• Owner's engineers reviewing electrical infrastructure designs.

• Engineers transitioning from commercial buildings, utilities, or industrial projects into data centers.

• Engineering professionals interested in AI infrastructure and high-density computing facilities.

Standards and Engineering References

The course discusses engineering principles and methods associated with IEC 62040-3:2021, NFPA 70E, NFPA 70, IEEE short-circuit calculation methods, and other relevant electrical engineering references.

Worked examples generally use IEC-style electrical systems, with North American alternatives where relevant.

Local electrical codes, applicable standards, and project-specific requirements must always govern actual engineering design.

Important Disclaimer

This course is an independent educational product and is not affiliated with, sponsored by, approved by, or endorsed by IEC, IEEE, NFPA, ISO, UL, Uptime Institute, or any other standards organisation or manufacturer.

All design calculations, project examples, and equipment selections are provided for educational purposes. They are not construction-ready designs and must not replace engineering verification by appropriately qualified electrical professionals.

The fictional project and its technical figures are instructional examples, not industry benchmarks.

AI Disclosure: Artificial intelligence tools were used to assist in developing the course materials. Technical calculations and explanations should be independently checked before professional application.

Start Your Learning Journey

Whether you are entering the AI data center industry or looking to strengthen your electrical engineering knowledge, this course provides a structured approach to understanding the electrical infrastructure behind modern high-density computing facilities.

Enrol today and develop your understanding of AI data center electrical design, power system calculations, and critical power infrastructure.