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Graduate Certificate in Machine Learning for Traffic Engineering

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Our curriculum integrates real-world traffic simulation and smart city applications, preparing you for high-demand roles. Master machine learning techniques to improve traffic flow, reduce congestion, and enhance safety. Boost your career prospects in transportation planning, intelligent transportation systems (ITS), and data science. Machine learning expertise is your key to a future-ready career.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Fundamentals of Machine Learning for Traffic Applications
  • Advanced Regression and Classification Techniques for Traffic Flow Prediction
  • Deep Learning for Traffic Management and Control
  • Data Mining and Visualization for Traffic Data Analysis
  • Traffic Simulation and Modeling using Machine Learning
  • Intelligent Transportation Systems (ITS) and Machine Learning Integration
  • Reinforcement Learning for Traffic Optimization
  • Machine Learning for Traffic Safety and Accident Prediction

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Machine Learning & Traffic Engineering) Description AI Traffic Analyst Develops and implements machine learning models for real-time traffic analysis and prediction, improving traffic flow and reducing congestion.

High demand for data science and machine learning skills.

Smart City Data Scientist (Transportation) Collects, analyzes, and interprets large datasets related to transportation systems, using machine learning algorithms to build predictive models for optimizing traffic management.

Expertise in predictive modelling is crucial.

Autonomous Vehicle Engineer (Traffic Optimization) Designs and implements machine learning based control systems for autonomous vehicles, focusing on efficient and safe navigation in complex traffic environments.

Requires strong AI and robotics knowledge.

Transportation Network Engineer (ML focus) Applies machine learning techniques to optimize transportation networks, improving efficiency and sustainability.

Deep learning experience is a significant advantage.

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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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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
GRADUATE CERTIFICATE IN MACHINE LEARNING FOR TRAFFIC ENGINEERING
์—๊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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