Data Center Design, Planning & Capacity Management Training Workshop

Course overview

Data Center Design, Planning & Capacity Management Training Workshop is a practical programme designed to equip IT infrastructure, engineering, facilities and technology professionals with the knowledge and skills required to plan, design, size, expand and optimise modern data center facilities.

The workshop covers the complete data center planning lifecycle, from business and IT requirements assessment, site selection and facility planning to space allocation, rack planning, power and cooling capacity, network connectivity, redundancy, resilience, commissioning and future expansion. Effective design requires coordinated planning of the major infrastructure constraints, including power, cooling, space and connectivity.

Course objectives

• Develop data center design and planning requirements based on business objectives, IT workloads, availability requirements, infrastructure dependencies and future growth.
• Design resilient infrastructure architectures using appropriate redundancy, availability, maintainability and fault-tolerance approaches.
• Calculate and plan space, power, cooling and network capacity for current and projected data center workloads.
• Develop data center capacity-management frameworks incorporating monitoring, forecasting, utilisation analysis, capacity reserves and infrastructure expansion planning.
• Evaluate modern data center design options for high-density computing, AI infrastructure, sustainability, energy efficiency, modular deployment, cloud integration and future scalabilit

Who should attend

Course content

• 1. Data Center Planning Strategy & Business Requirements Data center business drivers, IT strategy, service requirements, stakeholder requirements, growth projections, workload analysis, project objectives, design constraints, business case development a
• 2. Data Center Site Selection & Facility Planning Site-selection criteria, geographic considerations, connectivity, power availability, environmental risks, physical security, accessibility, building characteristics, expansion potential, regulatory consi
• 3. Data Center Design Principles & Standards Data center architecture, design lifecycle, national and international standards, availability classifications, Tier concepts, TIA-942 concepts, BICSI principles, regulatory requirements, design documentation
• 4. Space Planning, Floor Layout & Rack Design White-space planning, raised-floor concepts, equipment rooms, support spaces, rack positioning, cabinet dimensions, aisle planning, equipment clearances, maintenance access, floor loading, cable pathways, exp
• 5. IT Workload, Rack Density & Capacity Forecasting Server workloads, storage requirements, network equipment, rack density, kilowatt-per-rack calculations, current versus future demand, workload growth modelling, capacity forecasting, utilisation rates
• 6. Data Center Power Design & Electrical Capacity Planning Utility power, transformers, switchgear, UPS systems, batteries, generators, ATS/STS, PDUs, RPPs, electrical distribution, power paths, load calculations, redundancy configurations, power quality
• 7. Cooling Design & Thermal Capacity Planning Heat-load calculations, CRAC and CRAH systems, chilled-water systems, cooling capacity, airflow management, hot-aisle/cold-aisle layouts, containment, temperature and humidity, cooling redundancy, thermal mon
• 8. Data Center Network & Connectivity Planning Network architecture, structured cabling, fiber and copper, network pathways, carrier connectivity, cross-connects, redundancy, cable management, network capacity, connectivity resilience and planning for fu
• 9. Availability, Redundancy & Resilient Infrastructure Design Single points of failure, N, N+1, 2N and distributed redundancy concepts, concurrently maintainable systems, fault tolerance, diverse power paths, redundant cooling, network resilience, mainta
• 10. Capacity Management & Infrastructure Utilisation Space capacity, power capacity, cooling capacity, rack capacity, network capacity, utilisation monitoring, available versus committed capacity, stranded capacity, capacity thresholds, capacity reserves
• 11. High-Density, AI & Advanced Data Center Design GPU infrastructure, AI workloads, high-density racks, increased power density, thermal challenges, liquid cooling, direct-to-chip cooling concepts, advanced airflow management, AI cluster planning and in
• 12. Energy Efficiency, Sustainability & Green Design Power Usage Effectiveness (PUE), energy-efficiency strategies, cooling optimisation, renewable energy, water considerations, carbon management, efficient equipment selection, heat reuse, sustainable de
• 13. DCIM, Monitoring & Data-Driven Capacity Planning Data Center Infrastructure Management, asset management, power monitoring, environmental monitoring, rack utilisation, capacity dashboards, alarms, infrastructure dependencies, trend analysis, predicti
• 14. Data Center Project Implementation, Commissioning & Expansion Project planning, design documentation, procurement, construction coordination, installation, integrated systems testing, commissioning, handover, acceptance testing, change management, ph
• 15. Enterprise Data Center Design & Capacity Planning Capstone Participants develop a practical Data Center Design & Capacity Management Blueprint incorporating business requirements, site considerations, floor layout, rack configuration, IT load, power
• Practical Outputs Data Center Business Requirements Document, Site Selection Assessment, Data Center Master Plan, Space Allocation Plan, Data Center Floor Layout, Rack Layout, IT Load Calculation, Rack Density Assessment, Power Capacity Plan, UPS and Gen

General notes

• Participants learn how to translate current and projected IT workloads into practical infrastructure requirements. This includes rack density, power demand, cooling requirements, floor space, network capacity, equipment growth, redundancy requirements and capacity reserves. Capacity management is particularly important because space, power and cooling must remain available as IT loads grow.
• The programme also examines data center availability and resilience classifications, including Tier concepts, N, N+1 and 2N redundancy, maintainability, fault tolerance and infrastructure dependencies. Uptime Institute's Tier framework distinguishes basic capacity, redundant capacity, concurrently maintainable and fault-tolerant facilities.
• Modern design considerations are incorporated throughout the programme, including high-density computing, GPU and AI infrastructure, liquid cooling, virtualization, cloud and hybrid infrastructure, modular data centers, energy efficiency, sustainability, DCIM and data-driven capacity forecasting.
• Recommended Technology & Tools DCIM platforms, CAD/BIM concepts, data center design tools, Excel/Power BI, capacity-planning software, environmental monitoring systems, BMS, power monitoring systems, UPS monitoring, network monitoring platforms, asset-management systems, PUE and energy-monitoring tools, CFD concepts, virtualization platforms, cloud infrastructure platforms, AI/GPU infrastructure planning tools and infrastructure documentation platforms.

Schedule & fees