Advanced Data Centre Cooling and Thermal Resilience Training Course

Course Introduction

Data centres form the digital backbone of modern enterprises, supporting cloud computing, artificial intelligence, financial services, telecommunications, healthcare, government operations, and mission-critical industrial applications. As computing densities continue to increase, efficient cooling and thermal resilience have become essential for ensuring continuous operations, minimizing downtime, optimizing energy consumption, and protecting high-value IT infrastructure. This course provides participants with comprehensive knowledge and practical skills to design, operate, optimize, and maintain advanced data centre cooling systems while improving thermal resilience, energy efficiency, operational reliability, and infrastructure sustainability.

Modern data centres require sophisticated cooling strategies capable of supporting high-density server racks, edge computing facilities, hyperscale environments, colocation centres, and AI-driven computing clusters. Conventional air-cooling solutions are increasingly supplemented by liquid cooling technologies, hot and cold aisle containment, rear-door heat exchangers, immersion cooling, and intelligent airflow management. Poor thermal design, inadequate cooling capacity, airflow recirculation, inefficient equipment selection, and ineffective control strategies can lead to overheating, excessive energy consumption, equipment degradation, and costly service interruptions. This course equips participants with advanced engineering methodologies to optimize cooling performance, strengthen thermal resilience, improve energy utilization, and maximize system availability under demanding operational conditions.

The Advanced Data Centre Cooling and Thermal Resilience Training Course integrates engineering theory with practical industry applications to develop competencies in HVAC engineering, refrigeration systems, thermodynamics, heat transfer, airflow management, Computational Fluid Dynamics (CFD), chilled-water systems, direct expansion cooling, liquid cooling technologies, thermal energy storage, psychrometrics, humidity control, Building Management Systems (BMS), Data Centre Infrastructure Management (DCIM), predictive maintenance, reliability engineering, lifecycle asset management, and sustainability engineering. Participants will gain practical experience in designing cooling systems, performing thermal analyses, evaluating energy performance, implementing resilience strategies, and optimizing infrastructure to achieve world-class operational efficiency.

The course also explores emerging technologies transforming data centre cooling and intelligent infrastructure management. Participants will examine Industrial Internet of Things (IIoT), artificial intelligence, machine learning, digital twins, real-time thermal monitoring, predictive analytics, intelligent cooling controls, autonomous optimization platforms, cloud-based infrastructure management, advanced sensor networks, liquid immersion cooling, direct-to-chip cooling, waste heat recovery, renewable energy integration, and adaptive energy management systems. These innovations enable organizations to continuously monitor thermal performance, predict cooling system failures, optimize energy efficiency, enhance resilience, and support engineering decision-making through advanced digital intelligence.

Practical workshops, cooling system design exercises, CFD simulations, airflow optimization studies, thermal mapping projects, energy benchmarking activities, industrial case studies, failure analysis sessions, and resilience planning exercises are integrated throughout the course to strengthen participants' technical, analytical, and engineering decision-making capabilities. Participants will calculate cooling loads, evaluate airflow distribution, optimize containment systems, assess liquid cooling applications, analyze energy consumption, improve Power Usage Effectiveness (PUE), and apply internationally recognized engineering standards and industry best practices to real data centre environments.

Upon successful completion of this course, participants will possess advanced competencies in data centre cooling engineering, thermal resilience, airflow optimization, energy management, maintenance engineering, digital infrastructure monitoring, and lifecycle asset management. They will be equipped to improve cooling system efficiency, strengthen operational resilience, reduce energy consumption, enhance infrastructure reliability, support sustainable data centre operations, ensure continuous service availability, and maximize the long-term value of mission-critical facilities through world-class engineering and operational excellence.

Duration

10 days

Who Should Attend

• Data Centre Engineers

• Mechanical Engineers

• HVAC Engineers

• Facilities Engineers

• Critical Infrastructure Engineers

• Building Services Engineers

• Energy Engineers

• Reliability Engineers

• Maintenance Engineers

• Operations Engineers

• Commissioning Engineers

• Design Engineers

• Project Engineers

• Data Centre Managers

• Facility Managers

• Infrastructure Managers

• Building Automation Engineers

• Engineering Consultants

• Sustainability Engineers

• Technical Operations Personnel

Course Objectives

• Develop comprehensive knowledge of data centre cooling technologies, thermal resilience strategies, and energy optimization methodologies that improve infrastructure reliability, operational efficiency, sustainability, and business continuity.

• Apply advanced engineering methodologies to design, evaluate, optimize, and expand cooling systems for enterprise, hyperscale, edge, colocation, and AI-enabled data centres using internationally recognized engineering standards.

• Perform detailed thermal load calculations, airflow analyses, psychrometric evaluations, cooling capacity assessments, and Computational Fluid Dynamics simulations to optimize environmental performance and cooling effectiveness.

• Design high-performance cooling systems incorporating chilled-water plants, direct expansion units, liquid cooling technologies, immersion cooling, containment systems, and intelligent environmental controls for mission-critical facilities.

• Evaluate thermal performance through real-time monitoring, thermal mapping, rack heat density analysis, airflow optimization, equipment performance testing, and energy benchmarking to improve cooling efficiency and operational resilience.

• Develop preventive, predictive, and reliability-centered maintenance strategies for chillers, Computer Room Air Conditioning units, Computer Room Air Handling units, pumps, cooling towers, heat exchangers, and environmental monitoring systems to maximize system availability and reduce lifecycle costs.

• Integrate Industrial Internet of Things, artificial intelligence, digital twins, predictive analytics, intelligent sensors, Data Centre Infrastructure Management platforms, and cloud-based monitoring technologies into modern cooling system engineering and infrastructure management.

• Optimize energy efficiency using hot aisle and cold aisle containment, variable-speed technologies, economizer systems, liquid cooling, waste heat recovery, renewable energy integration, and advanced cooling control strategies.

• Apply international engineering standards, ASHRAE thermal guidelines, Uptime Institute recommendations, TIA standards, sustainability frameworks, and environmental regulations governing data centre cooling system design, operation, maintenance, and resilience.

• Conduct engineering analyses including Power Usage Effectiveness evaluations, lifecycle cost assessments, carbon reduction studies, cooling performance diagnostics, operational risk assessments, and resilience planning supporting continuous improvement initiatives.

• Identify and resolve operational challenges including airflow recirculation, thermal hotspots, cooling system failures, equipment inefficiencies, humidity instability, and capacity limitations using systematic engineering approaches.

• Strengthen engineering leadership and technical decision-making capabilities through practical workshops, industrial case studies, CFD simulations, resilience planning projects, and cooling optimization exercises that maximize mission-critical facility performance.

Comprehensive Course Outline

Module 1: Fundamentals of Data Centre Cooling Engineering

• Principles of mission-critical cooling system engineering and design

• Heat transfer fundamentals affecting server thermal performance

• Data centre classifications and cooling infrastructure requirements

• International standards governing data centre thermal management

Module 2: Data Centre Thermal Load Analysis

• IT equipment heat load calculations supporting cooling design

• Rack density assessment for high-performance computing facilities

• Thermal profiling supporting capacity planning and resilience

• Cooling demand forecasting for future infrastructure expansion

Module 3: Air-Cooled Data Centre Systems

• Computer Room Air Conditioning system design and optimization

• Computer Room Air Handling technologies for efficient airflow

• Raised floor and overhead air distribution engineering methods

• Airflow balancing techniques reducing thermal inefficiencies

Module 4: Chilled-Water Cooling Systems

• Chilled-water plant engineering for mission-critical applications

• Hydraulic design supporting efficient chilled-water distribution

• Chiller selection maximizing operational performance and resilience

• Pump optimization reducing cooling system energy consumption

Module 5: Advanced Liquid Cooling Technologies

• Direct-to-chip liquid cooling supporting high-density computing

• Immersion cooling systems for next-generation data centres

• Rear-door heat exchanger technologies improving thermal efficiency

• Hybrid cooling strategies integrating air and liquid systems

Module 6: Airflow Management and Containment

• Hot aisle and cold aisle containment system engineering

• Air leakage reduction improving cooling effectiveness

• Computational Fluid Dynamics supporting airflow optimization

• Thermal hotspot mitigation using engineering best practices

Module 7: Humidity Control and Environmental Management

• Psychrometric analysis supporting environmental stability

• Humidity control systems protecting mission-critical equipment

• Environmental monitoring improving thermal reliability

• Condensation prevention through optimized HVAC operation

Module 8: Intelligent Cooling Controls

• Building Management Systems integrating cooling optimization

• Data Centre Infrastructure Management supporting operational visibility

• Intelligent sensors providing continuous thermal monitoring

• Automated cooling control improving energy performance

Module 9: Artificial Intelligence and Digital Engineering

• Artificial intelligence applications in cooling optimization

• Machine learning supporting predictive thermal management

• Digital twin technologies improving infrastructure simulations

• Predictive analytics enhancing engineering decision-making processes

Module 10: Energy Optimization and Sustainability

• Power Usage Effectiveness improvement methodologies

• Economizer systems reducing mechanical cooling requirements

• Waste heat recovery supporting sustainable energy utilization

• Renewable energy integration for low-carbon data centres

Module 11: Maintenance and Reliability Engineering

• Preventive maintenance strategies for cooling infrastructure

• Predictive maintenance using advanced condition monitoring technologies

• Reliability-centered maintenance improving equipment availability

• Lifecycle asset management supporting operational continuity

Module 12: Thermal Resilience and Business Continuity

• Cooling redundancy strategies ensuring uninterrupted operations

• Resilience planning for mission-critical infrastructure protection

• Emergency cooling procedures supporting business continuity

• Operational risk management reducing cooling system failures

Module 13: Performance Assessment and Compliance

• Cooling performance testing verifying engineering objectives

• Energy benchmarking supporting operational improvements

• ASHRAE and Uptime Institute compliance implementation

• Environmental documentation supporting regulatory requirements

Module 14: Inspection, Troubleshooting, and Failure Analysis

• Inspection methodologies supporting cooling system integrity

• Root cause analysis of thermal performance deficiencies

• Troubleshooting airflow, refrigeration, and control system issues

• Corrective engineering strategies improving infrastructure resilience

Module 15: Practical Workshops and Industrial Case Studies

• Data centre cooling design exercises using real operational data

• CFD modelling workshops with thermal performance simulations

• Industrial case studies involving cooling optimization projects

• Group projects developing integrated thermal resilience solutions

Module 16: Future Trends in Data Centre Cooling

• AI-ready cooling systems supporting next-generation computing

• Advanced digital technologies transforming thermal management

• Sustainable cooling innovations for hyperscale facilities

• Emerging engineering developments shaping future data centre infrastructure

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.