Hardware-Networking
Power, Cooling, and Resilience for AI Data Centers
This practical course helps professionals master AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
Objectives
- Understand the concepts, challenges, and use cases related to AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity.
- Identify the data, systems, processes, and stakeholders required for effective implementation.
- Assess risks, limitations, governance requirements, and practical control points.
- Use methods, tools, and templates to structure analysis and decision-making.
- Translate learning into action plans, recommendations, and measurable improvement opportunities.
- Adapt the approach to the operating context, team maturity, and business objectives.
Target audience
- Network, systems, and infrastructure administrators
- Support technicians and IT engineers
- Data center, endpoint, and operations teams
- Professionals preparing for networking certifications
- IT managers responsible for availability and resilience
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Data Center Requirements, Workload Profiles, and Service Criticality
Applying data center requirements, workload profiles, and service criticality in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 2: Network Fabric, Cabling, Optics, Racks, Power, and Cooling
Applying network fabric, cabling, optics, racks, power, and cooling in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 3: AI, GPU, Storage, and East-West Traffic Considerations
Applying ai, gpu, storage, and east-west traffic considerations in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 4: Capacity Planning, Environmental Monitoring, and Telemetry
Applying capacity planning, environmental monitoring, and telemetry in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 5: Resilience, Redundancy, Maintenance Windows, and Change Control
Applying resilience, redundancy, maintenance windows, and change control in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 6: Operations, Incident Response, Vendor Coordination, and SLAs
Applying operations, incident response, vendor coordination, and slas in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 7: Security, Physical Access, Asset Tracking, and Compliance
Applying security, physical access, asset tracking, and compliance in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Module 8: Data Center Readiness and Optimization Workshop
Applying data center readiness and optimization workshop in the context of AI data center power, cooling, rack density, resilience, monitoring, risk, and operational continuity
Practical exercises, control points, deliverables, and related decisions
Materials provided
- â—‹ Slides used during the sessions
- â—‹ Group activities and practical exercises
- â—‹ Worksheets, checklists, and templates
- â—‹ Case studies relevant to the course
- â—‹ 4D Certificate of Completion issued by 4D Training & Consultancy
- â—‹ Post-course support for technical queries and guidance
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy designs technical and professional programs around the client’s operating reality. The course can be adapted to sector requirements, internal systems, team capability, practical use cases, and the level of depth required by the audience.
Related courses
AI for Network Monitoring and Troubleshooting
This practical course helps professionals master AI for network monitoring, anomaly detection, root cause support, ticket enrichment, and troubleshooting workflows. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
View courseAI-Ready Data Center Networking
This practical course helps professionals master AI-ready data center network design, bandwidth, latency, east-west traffic, telemetry, and resilience. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
View courseAirline IT Infrastructure, Connectivity, and Operations Support
This practical course helps professionals master airline IT infrastructure, branch connectivity, airport systems integration, operations support, availability, and incident handling. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
View course