Graduate Certificate in Edge Computing for Intelligent Transportation Systems (Advanced)

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The Graduate Certificate in Edge Computing for Intelligent Transportation Systems is a 20-unit advanced certificate programme that provides learners with the skills to design, develop, and deploy edge computing solutions for intelligent transportation systems. As the demand for edge computing and IoT solutions continues to grow, this programme prepares learners for a career in this rapidly expanding field.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

By the end of this programme, learners will have a comprehensive understanding of edge computing, cloud computing, and IoT systems, enabling them to design and implement intelligent transportation systems that improve traffic flow, reduce congestion, and enhance public safety.

100% ์˜จ๋ผ์ธ

์–ด๋””์„œ๋“  ํ•™์Šต

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Edge Computing Fundamentals
  • IoT in Intelligent Transportation Systems
  • Cloud Computing and Edge Computing Integration
  • Artificial Intelligence in Transportation Systems
  • Machine Learning for Traffic Management
  • Edge Computing for Real-time Traffic Data Processing
  • Big Data Analytics for Intelligent Transportation
  • Edge Computing for Smart Traffic Light Control
  • Autonomous Vehicle Technology
  • Edge Computing for Advanced Traffic Management Systems
  • Human-Machine Interface Design for ITS
  • Cybersecurity for Edge Computing and ITS
  • Edge Computing for Public Safety and Emergency Services
  • Intelligent Transportation Systems Integration
  • Edge Computing for Traffic Congestion Mitigation
  • Data Analytics for Intelligent Transportation Systems
  • Edge Computing for Public Transit Systems
  • Edge Computing for Railway Transportation Systems
  • Edge Computing for Maritime Transportation Systems
  • Project Development in Edge Computing for ITS
  • Capstone in Edge Computing for Intelligent Transportation Systems

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

As you navigate your career in Edge Computing for Intelligent Transportation Systems, consider the following roles: Data Scientist (20%) Network Engineer (18%) Cloud Architect (25%) DevOps Engineer (37%)

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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ํš๋“ํ•  ๊ธฐ์ˆ 

Data processing Edge computing Cloud integration System design

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์ƒ์„ธํ•œ ์ฝ”์Šค ์ •๋ณด๋ฅผ ๋ณด๋‚ด๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

์ฒญ๊ตฌ์„œ๋กœ ๊ฒฐ์ œ

๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
GRADUATE CERTIFICATE IN EDGE COMPUTING FOR INTELLIGENT TRANSPORTATION SYSTEMS (ADVANCED)
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
์ƒˆ ๋“ฑ๋ก
4.8

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