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Career Advancement Programme in Connected Vehicle Technologies

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Connected Vehicle Technologies Career Advancement Programme empowers automotive professionals. This programme focuses on cutting-edge technologies such as V2X communication, IoT integration, and data analytics.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Designed for engineers, software developers, and project managers, it enhances career prospects in the rapidly growing automotive sector. Gain practical skills in cybersecurity, cloud computing, and autonomous driving systems. Boost your expertise and advance your career. The programme includes hands-on projects and industry expert mentorship. Enroll today and unlock your potential in the exciting world of connected vehicles!

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์–ด๋””์„œ๋“  ํ•™์Šต

๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ธ์ฆ์„œ

LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Connected Vehicle Architectures
  • Vehicle Networking and Communication Protocols (e.g., CAN, LIN, Ethernet)
  • Cybersecurity in Connected Vehicles
  • Data Analytics for Connected Vehicle Data
  • Cloud Computing and Connected Vehicle Services
  • Software Defined Vehicles and Over-the-Air Updates
  • Connected Vehicle Applications and Services (e.g., Infotainment, ADAS)
  • Legal and Regulatory Frameworks for Connected Vehicles
  • Project Management for Connected Vehicle Development

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Connected Vehicle Software Engineer (Automotive, IoT) Develop and maintain software for in-car infotainment systems, telematics, and autonomous driving features.

Expertise in embedded systems and cloud connectivity is crucial.

Data Scientist (Connected Car Analytics) Analyze large datasets from connected vehicles to improve vehicle performance, predict maintenance needs, and enhance driver safety.

Strong data visualization skills are a must.

Cybersecurity Engineer (Vehicle Network Security) Protect connected vehicles from cyber threats by implementing robust security measures and protocols.

Experience with embedded systems security and penetration testing is essential.

Cloud Architect (Connected Vehicle Infrastructure) Design and implement cloud-based infrastructure for connected vehicle applications.

Deep knowledge of cloud platforms (AWS, Azure, GCP) is required.

AI/ML Engineer (Autonomous Driving, Predictive Maintenance) Develop and deploy AI/ML models for autonomous driving features, predictive maintenance, and other connected vehicle applications.

Requires strong programming skills and machine learning expertise.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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

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์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
CAREER ADVANCEMENT PROGRAMME IN CONNECTED VEHICLE TECHNOLOGIES
์—๊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”.
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