Cooling Professional

Overview

The Cooling Professional course equips learners with the skills to design, optimise, and manage advanced cooling systems for modern data centres. As organisations continue to scale AI, Cloud, and Data workloads, efficient thermal management has become critical to operational resilience, sustainability, and energy performance. This course connects engineering theory with practical data centre applications, helping learners understand how cooling systems behave in real-world environments and how to engineer reliable, efficient solutions.

Learners will explore cooling fundamentals, psychrometrics, airflow management, free cooling strategies, Power Usage Effectiveness (PUE), and emerging liquid cooling technologies. Through applied learning and scenario-based exercises, participants will gain the confidence to evaluate cooling approaches, troubleshoot performance challenges, and improve sustainability outcomes across data centre environments.

Prerequisites

Participants should have:

• Experience working within data centre environments or critical infrastructure facilities.
• A working understanding of mechanical engineering principles, thermodynamics, or HVAC systems.
• Familiarity with data centre operations, environmental controls, or facilities management.
• Knowledge of energy efficiency concepts and operational risk management is recommended.
• An interest in sustainable infrastructure, cooling optimisation, and operational resilience.

Target audience

This course is designed for:

• Mechanical engineers working in or transitioning into data centre environments.
• Data centre professionals responsible for cooling, facilities, or environmental systems.
• Infrastructure and operations teams supporting high-density compute environments.
• Consultants and technical specialists focused on energy efficiency and sustainability initiatives.
• Organisations seeking to improve operational resilience, cooling efficiency, and sustainability across mission-critical facilities.

Objectives

By the end of this course, learners will be able to:

• Explain the principles of heat transfer, humidity control, refrigeration, and fluid dynamics within data centre environments.
• Assess the impact of cooling design decisions on operational resilience, sustainability, and energy consumption.
• Apply psychrometric analysis and industry standards, including ASHRAE guidance, to cooling system design and optimisation.
• Design and evaluate free cooling, air cooling, and zero-refrigeration strategies to improve efficiency.
• Optimise airflow management using best-practice methodologies, controls, and Computational Fluid Dynamics (CFD) concepts.
• Analyse how climate, load, and facility conditions influence Power Usage Effectiveness (PUE).
• Evaluate liquid cooling technologies and determine the most suitable solutions for different operational requirements.
• Identify cooling risks, troubleshoot common issues, and improve long-term system reliability and sustainability.

Outline

Cooling in the data centre

This section introduces the core principles behind data centre cooling and environmental management. Learners will explore how thermal loads are generated and managed within critical infrastructure environments.

Topics covered include:

• Heat transfer principles and thermal dynamics
• Fluid dynamics and airflow fundamentals
• Refrigeration systems and cooling cycles
• Mechanical cooling infrastructure
• Humidity control and environmental stability
• Cooling system reliability considerations
• Understanding thermal behaviour in high-density environments

Psychrometrics, ASHRAE, and free cooling

Learners will develop a practical understanding of psychrometrics and industry guidance used to support efficient cooling system design.

Topics covered include:

• Psychrometric fundamentals and interpretation
• Temperature and humidity relationships
• Applying ASHRAE standards and recommendations
• Environmental operating ranges and tolerances
• Free cooling principles and strategies
• Airside and waterside economisation
• Regulatory considerations and sustainability targets
• Evaluating cooling opportunities based on environmental conditions

Air management, best practice, controls, and CFD

This section focuses on airflow optimisation and operational best practices to improve cooling efficiency and reduce operational risk.

Topics covered include:

• Airflow management strategies
• Hot aisle and cold aisle containment
• Raised floor and overhead cooling approaches
• Cooling controls and automation
• Best-practice air distribution methodologies
• Computational Fluid Dynamics (CFD) concepts and applications
• Identifying and resolving airflow inefficiencies
• Troubleshooting thermal hotspots and operational issues
• Energy optimisation through airflow improvements

PUE, free cooling, and climate

Learners will examine the relationship between climate, cooling strategy, and energy performance across different data centre environments.

Topics covered include:

• Understanding Power Usage Effectiveness (PUE)
• Measuring and improving energy efficiency
• Climate impacts on cooling performance
• Outdoor air cooling strategies
• Matching cooling systems to geographical conditions
• Balancing efficiency, resilience, and operational requirements
• Sustainability considerations for modern facilities
• Reducing operational costs through cooling optimisation

Risk, energy efficiency, and liquid cooling

The final section explores emerging cooling technologies, operational risk management, and sustainable infrastructure strategies.

Topics covered include:

• Reliability and resilience considerations
• Cooling-related operational risks
• Commissioning and validation processes
• Energy efficiency improvement strategies
• Evaluating liquid cooling approaches
• Direct-to-chip and immersion cooling concepts
• Sustainability and environmental impact reduction
• Selecting cost-effective and scalable cooling solutions
• Future trends in data centre thermal management

Exams and assessments

There are no formal exams included in this course. Learners will complete knowledge checks, scenario-based activities, and practical discussions throughout the programme to reinforce key concepts and support applied understanding.

Participants may also use this course as part of a wider certification pathway toward Data Center Specialist certification progression.

Hands-on learning

This course includes:

• Scenario-based exercises focused on cooling optimisation and troubleshooting.
• Practical analysis of airflow, thermal management, and energy efficiency challenges.
• Guided discussions exploring real-world data centre cooling strategies.
• Applied learning activities aligned to operational and sustainability outcomes.
• Instructor-led reviews of cooling system design considerations and best practices.