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The program delves into the AI and robotics techniques that empower autonomous vehicles, including computer vision, object detection, sensor fusion from LIDAR and radar, and motion planning algorithms. This hands-on course also covers real-world challenges like obstacle avoidance, lane detection, and decision-making for AVs.
This program teaches the key technologies and AI methodologies that enable autonomous vehicles (AVs) to perceive, decide, and navigate through complex environments. Participants will gain knowledge of deep learning, sensor fusion, and path planning techniques essential for AV systems.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
AI engineers, robotics engineers, data scientists, and software developers focusing on autonomous systems.
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