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データセンター冷却システムの監視と制御に関する大学院修了証

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Overview

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Learning outcomes

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Course content

1

データセンターの基本概念

2

冷却システムの原理

3

監視システムの設計

4

制御システムの実装

5

データセンターの運用管理

Career Path

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Key facts

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Why this course

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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.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
OH
Oliver Hughes
GB · Course completed

From a detailed technical standpoint, this programme provided an exhaustive exploration of cooling loop dynamics, including thermodynamic modeling and energy‑efficiency benchmarking. I particularly appreciated the step‑by‑step walkthrough of CFD simulations for airflow optimisation, which I later used to produce a report that secured additional funding for our London data‑centre upgrade. The reference textbook and the curated research papers were of high scholarly quality, making the learning experience both rigorous and directly applicable to industry standards.

MC
Michael Carter
US · Course completed

The curriculum of the データセンター冷却システムの監視と制御に関する大学院修了証 perfectly aligned with my goal of mastering data‑center thermal management. The modules on PI‑controlled chillers and real‑time SNMP monitoring gave me hands‑on experience configuring alert thresholds that I immediately applied at my workplace, reducing temperature excursions by 30 %. The lecture slides were concise, and the supplemental case studies from leading Tier‑III facilities were exceptionally relevant. Overall, the course exceeded my expectations and equipped me with actionable skills for my engineering team.

SL
Sophie Laurent
CA · Course completed

I signed up for this course hoping to get a better grip on cooling system analytics, and it delivered. The practical labs where we set up a virtual monitoring dashboard were super useful – I can now spot inefficiencies in our Montreal data‑center before they become a problem. The reading materials were up‑to‑date, especially the sections on AI‑driven predictive maintenance. It was a relaxed but thorough learning environment, and I left feeling confident about applying what I learned to real projects.

HT
Haruto Tanaka
JP · Course completed

What an exciting journey! The course blew me away with its focus on cutting‑edge cooling technologies like liquid immersion and AI‑based fault detection. I especially loved the interactive project where we programmed a Raspberry Pi to trigger emergency cooling based on temperature spikes – I actually built that prototype for my startup! The video lectures were lively, and the instructor’s quick feedback kept me motivated. I finished the program feeling energized and ready to innovate in Japan’s data‑center sector.





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May 2026