Graduate Certificate in Edge Computing for Connected Transportation

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The Graduate Certificate in Edge Computing for Connected Transportation is a vital ten-unit program addressing the urgent industry demand for smart mobility solutions. As autonomous vehicles and IoT networks expand, professionals skilled in low-latency data processing are increasingly sought after.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

This course equips learners with critical expertise in network architecture, real-time analytics, and cybersecurity within transportation systems. By mastering these technologies, graduates gain a competitive edge, enabling them to design efficient, safe, and scalable connected infrastructure. This credential directly supports career advancement, positioning candidates for high-impact roles in urban planning, logistics, and automotive engineering sectors where innovation drives market leadership and operational efficiency.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Edge Computing for Connected Transportation
  • Edge Computing Architectures and Deployment Strategies for ITS
  • Data Analytics and Machine Learning for Connected Vehicles
  • Cloud-Edge Integration for Intelligent Transportation Systems
  • Security and Privacy in Edge Computing for Transportation
  • Real-time Data Processing and Stream Analytics in Edge Networks
  • Connected Vehicle Communication Protocols and Standards (V2X)
  • Case Studies in Edge Computing Applications for Smart Cities and Transportation

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Edge Computing Engineer (Connected Transportation) Develops and implements edge computing solutions for real-time transportation data processing and analysis, focusing on low-latency applications.

High demand for expertise in network security and IoT .

Data Scientist (Connected Vehicles) Analyzes massive datasets from connected vehicles to improve traffic flow, safety, and efficiency.

Requires strong skills in data analytics , machine learning , and edge computing architecture .

Software Engineer (Edge Infrastructure) Designs, develops, and maintains the software infrastructure for edge computing deployments in transportation systems.

Expertise in cloud computing and containerization is essential.

Cybersecurity Analyst (Connected Transportation) Protects connected transportation systems from cyber threats by implementing robust security measures at the edge.

Focus on network security and data privacy within the edge environment .

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

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ํš๋“ํ•  ๊ธฐ์ˆ 

Edge Computing Network Security Data Analytics IoT Integration

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ํšŒ์‚ฌ๋กœ ์ง€๋ถˆ

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

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
GRADUATE CERTIFICATE IN EDGE COMPUTING FOR CONNECTED TRANSPORTATION
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์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”.
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