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データセンターの冷却と電力最適化

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Overview

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Learning outcomes

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Course content

1

データセンターの冷却システム

2

データセンターの電力管理

3

データセンターのエネルギー効率

4

データセンターの空調システム

5

データセンターの総合最適化

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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

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Assessment is done through:

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

Really enjoyed the course – it hit the spot for what I was after. I wanted some practical know‑how on balancing cooling capacity with power usage, and the lessons on free‑cooling and UPS efficiency were spot on. The real‑world examples from Japanese data centres helped me picture how to tweak our own setup. The PDFs were tidy and the quizzes kept things interesting. I left feeling confident I can suggest a 10‑15% energy saving plan to senior management.

MC
Michael Carter
US · Course completed

The course exceeded my expectations. My goal was to understand how to reduce energy consumption in our company’s data centers, and the modules on PUE calculation and liquid‑cooling design gave me exactly the tools I needed. I was able to apply the step‑by‑step CFD case study to redesign a rack layout, cutting our cooling power draw by 12%. The video lectures were clear and the downloadable Excel templates made it easy to run my own simulations. Overall, the learning experience was professional and highly relevant to my role as an infrastructure manager.

HT
Haruka Tanaka
JP · Course completed

Wow! This course was exactly what I needed to boost my career in data‑center operations. The enthusiastic instructors broke down complex topics like thermal zoning and AI‑driven power optimization into bite‑size lessons. I especially loved the hands‑on lab where we programmed a microcontroller to adjust fan speeds based on temperature sensors – I’ve already implemented that in my lab and saw a 7% reduction in electricity use. The material quality was top‑notch, with up‑to‑date industry reports and interactive diagrams. I’m thrilled with the results and can’t wait to apply everything in my next project.

ZD
Zanele Dlamini
ZA · Course completed

The course delivered a detailed and thorough exploration of data‑center cooling and power optimisation. My objective was to design a sustainable cooling strategy for a new facility in Johannesburg, and the modules on economizer cycles and renewable‑energy integration provided the exact frameworks I needed. The case study on a modular data centre allowed me to calculate the optimal chilled‑water loop size, which I later used to draft a proposal that projected a 14% reduction in annual electricity costs. Course materials were comprehensive – the slide decks, reference papers, and the MATLAB scripts were all very useful. The learning experience was rigorous yet accessible, and I feel well‑prepared to lead the project.





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May 2026