CREST Non-IT-to-IT

Data Center

For professionals seeking data centre operations, digital service management, and AI data centre knowledge.

Level: Beginner to Advanced Duration: Varies by pathway

Programme overview

This track covers foundational IT literacy, digital service management, networking, and hands-on data centre operations, then advances into AI-centric data centre infrastructure. Learners explore power, cooling, sustainability, rack configurations, and operations considerations specific to high-performance AI workloads.

Who should attend

Data centre professionals aiming to specialise in AI system infrastructure
IT managers and project leaders overseeing AI data centre deployments
Engineers and architects designing data centres for AI workloads
Data centre consultants

Modules & key topics

CompTIA IT Fundamentals (ITF+)
EXIN Digital Literacy Certification
EXIN Digital Competence Assessment
EXIN Digital Service Management (based on ITIL)
EXIN Digital Management Certification (Data Center Edition)
Cisco Certified Network Associate (CCNA)
CDCTP – Certified Data Centre Technician Professional
AI Evolution, ML & DL Overview
AI Hardware and Rack Configurations
Cooling Technologies & Distributions for AI Loads
Power Distributions for AI Loads
Workshop – Reference Designs
Sustainability and Energy Efficiency
On-Site Power Generation
Operations & Management Considerations

Learning outcomes

Build foundational IT and digital literacy
Manage IT services, incidents, and change
Support data centre network and technician operations
Understand AI data centre infrastructure requirements
Evaluate power, cooling, and sustainability trade-offs

Skills & gap analysis

Track-specific skills and competency mapping will be added in a future phase. This section will link each programme to the Neo4j knowledge base and show relevant skills, proficiency expectations, and gap-analysis options.