Certified Specialist Programme in Edge Computing for Traffic Prediction

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Edge Computing and its Applications in Traffic Management
  • Data Acquisition and Preprocessing for Traffic Prediction (Sensors, IoT devices)
  • Time Series Analysis and Forecasting for Traffic Flow
  • Machine Learning Algorithms for Traffic Prediction (Regression, Neural Networks)
  • Edge Computing Infrastructure and Deployment for Traffic Prediction Systems
  • Real-time Data Processing and Analytics at the Edge
  • System Integration and Testing for Traffic Prediction Solutions
  • Case Studies and Best Practices in Edge Computing for Traffic Prediction
  • Security and Privacy Considerations in Edge-based Traffic Systems

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Job Role Description Edge Computing Engineer (Traffic Prediction) Develops and implements edge computing solutions for real-time traffic prediction, leveraging IoT data and machine learning algorithms.

High demand in smart city initiatives.

Data Scientist (Traffic Flow Analysis) Analyzes large datasets from various sources to build predictive models for traffic patterns, using advanced statistical techniques and edge computing infrastructure.

Focus on accuracy and efficiency.

Cloud Architect (Edge Deployment) Designs and manages the cloud infrastructure supporting edge computing deployments for traffic prediction systems.

Expertise in scalability and security is critical.

Software Engineer (Traffic Simulation) Develops and maintains software for simulating traffic flow under various conditions, integrating with edge computing devices for real-time data processing.

Involves advanced programming skills.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED SPECIALIST PROGRAMME IN EDGE COMPUTING FOR TRAFFIC PREDICTION
์—๊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
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