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高度なデータセンター冷却システムのモニタリングおよび制御の卒業証書 (Advanced)

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Overview

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Learning outcomes

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Course content

1

基礎冷却理論

2

冷却装置設計

3

センサー統合

4

データ取得

5

リアルタイム監視

6

温度制御アルゴリズム

7

エネルギー効率評価

8

故障診断

9

予測保守

10

ネットワーク統合

11

安全基準遵守

12

Ai最適化

13

可視化ダッシュボード

14

システムテスト

15

実装プロジェクト

16

パフォーマンス評価

17

スケーラビリティ設計

18

環境影響評価

19

規制対応

20

卒業総括

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

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

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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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

I loved the practical vibe of this course. It gave me exactly the know‑how I needed to set up a remote monitoring system for our new cooling plant. The step‑by‑step guide on configuring MQTT brokers and the video walkthrough of the PID controller tuning were especially useful. Thanks to those skills, I could get my team’s first live dashboard up and running in just two weeks. The reading material was spot‑on – not too heavy, but packed with real‑world examples. All in all, a solid learning experience that matched what I was looking for.

MC
Michael Carter
US · Course completed

The "高度なデータセンター冷却システムのモニタリングおよび制御の卒業証書" course exceeded my expectations. The modules on predictive analytics for coolant flow and the hands‑on labs with real‑time SCADA dashboards directly helped me meet my goal of designing energy‑efficient cooling strategies. I was able to apply the learned fault‑detection algorithms to our company’s data‑center, cutting power consumption by 12% within a month. The course materials were up‑to‑date, with clear diagrams and case studies from leading facilities. Overall, the structured learning path and responsive instructors made the experience highly satisfying.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to boost my career in data‑center operations. The segment on AI‑driven anomaly detection taught me how to build models that flag temperature spikes before they become problems. I used that knowledge to develop a pilot project at my firm, which reduced unexpected shutdowns by 30%. The PDFs were crisp, the quizzes reinforced the concepts, and the live Q&A sessions let me clear doubts instantly. I’m thrilled with the results and can’t recommend it enough!

ZD
Zanele Dlamini
ZA · Course completed

The course delivered a detailed and comprehensive view of modern cooling system control. I particularly appreciated the deep dive into thermodynamic calculations and the simulation exercises using MATLAB/Simulink. These allowed me to model a chilled‑water loop and optimise pump schedules, which I later implemented in our regional data‑centre, achieving a 9% reduction in energy usage. The lecture notes were thorough, and the supplemental case studies from North American facilities added valuable context. My overall learning experience was highly rewarding and aligned perfectly with my professional objectives.





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Recently updated!

May 2026