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数据中心冷却与电力优化

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Overview

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Learning outcomes

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Course content

1

冷却系统设计

2

能源回收技术

3

热泵优化方案

4

Ups能效管理

5

Ai智能负载调度

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 signed up for "数据中心冷却与电力优化" because I wanted to get a better grip on the power‑saving tricks that big data centres use. The course was surprisingly easy to follow – the videos broke down complex cooling concepts into bite‑size chunks. I especially liked the hands‑on lab where we simulated airflow adjustments in a virtual rack, which helped me understand how to cut down on energy waste. The resources were up‑to‑date, and the tutor was quick to answer questions. All in all, a solid learning experience that hit the mark.

MC
Michael Carter
US · Course completed

The "数据中心冷却与电力优化" course perfectly aligned with my goal to design more energy‑efficient data centers. The modules on liquid cooling systems gave me a clear, step‑by‑step methodology that I immediately applied to a pilot project at my company, reducing the PUE from 1.75 to 1.55 in just three months. The lecture slides were concise, with real‑world case studies from leading tech firms, which made the theory highly relevant. Overall, the instruction was professional and the materials were top‑notch, leaving me fully confident in implementing the strategies I learned.

AP
Ananya Patel
IN · Course completed

Wow! This "数据中心冷却与电力优化" course blew me away with its depth and excitement. I was eager to learn practical ways to lower electricity costs, and the section on AI‑driven thermal management gave me a brand‑new skill set. I built a simple predictive model for cooling load using the provided datasets, and my team has already started testing it in our local data hub. The course material felt fresh, with plenty of diagrams and real‑life examples from Asian data centres. I’m thrilled with what I’ve achieved and can’t wait to apply more of these techniques.

ZD
Zanele Dlamini
ZA · Course completed

The "数据中心冷却与电力优化" course offered a detailed roadmap for anyone serious about energy optimisation. My main learning goal was to understand how to integrate renewable energy sources with cooling infrastructure, and the curriculum delivered exactly that through comprehensive modules on free‑cooling and heat‑recovery. I particularly appreciated the in‑depth PDF handbook, which included calculation templates for COP and PUE that I have already used in a recent audit of a regional data centre. The instructors provided thorough feedback on assignments, making the overall experience both rigorous and rewarding.





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Recently updated!

May 2026