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Certificate Programme in AI for Autonomous Vehicle Perception and Planning

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The Certificate Programme in AI for Autonomous Vehicle Perception and Planning is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly growing field of autonomous vehicles. This programme emphasizes the importance of artificial intelligence in developing self-driving vehicles, focusing on perception and planning, two critical components of autonomous systems.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

With the global autonomous vehicle market projected to reach $60 billion by 2028, there is an increasing industry demand for professionals skilled in AI for autonomous vehicle perception and planning. This certificate course offers a unique opportunity for learners to gain expertise in this high-growth area and excel in their careers. The programme covers cutting-edge topics such as sensor fusion, object detection, tracking, and path planning, providing learners with practical experience in developing AI models for autonomous vehicles. By the end of the course, learners will have a solid understanding of the AI technologies and methodologies used in the industry, making them highly attractive to potential employers and enabling them to make meaningful contributions to the field of autonomous vehicles.

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Autonomous Vehicles and AI
  • Sensor Fusion for Autonomous Driving (Lidar, Radar, Camera)
  • Computer Vision for Autonomous Vehicle Perception
  • Deep Learning for Autonomous Driving
  • Path Planning and Motion Planning for Autonomous Vehicles
  • AI-based Object Detection and Tracking
  • Localization and Mapping for Autonomous Systems
  • Simulation and Testing of Autonomous Vehicle Systems
  • Ethical and Safety Considerations in Autonomous Driving

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description AI Engineer (Autonomous Vehicles) Develops and implements AI algorithms for perception and planning, focusing on computer vision, sensor fusion, and path planning.

High demand, excellent career prospects.

Robotics Engineer (Autonomous Driving) Designs, builds, and tests robotic systems for autonomous vehicles, integrating AI perception and planning components.

Strong focus on system integration and testing.

Machine Learning Engineer (AV Perception) Specializes in developing and deploying machine learning models for object detection, classification, and tracking in autonomous vehicle environments.

Significant demand for expertise in deep learning.

Software Engineer (Autonomous Driving Systems) Develops and maintains software components for autonomous driving systems, including perception, planning, and control modules.

Requires strong programming skills and understanding of real-time systems.

Data Scientist (Autonomous Vehicle) Analyzes large datasets from autonomous vehicle sensors to improve the performance of AI algorithms.

Requires expertise in data analysis, machine learning, and statistics.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN AI FOR AUTONOMOUS VEHICLE PERCEPTION AND PLANNING
์—๊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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