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Career Advancement Programme in Automated Driving Systems
-- ViewingNowAutomated Driving Systems Career Advancement Programme: Elevate your career in this rapidly expanding field. This programme is designed for software engineers, roboticists, and automotive professionals seeking to specialize in autonomous vehicles.
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2个月完成
每周2-3小时
随时开始
无等待期
课程详情
- Sensor Fusion and Data Processing
- Automated Driving System Architectures
- Perception for Autonomous Vehicles
- Planning and Control Algorithms
- Machine Learning for Autonomous Driving
- Software Engineering for ADAS/AD
- Safety and Validation of Autonomous Systems
- Legal and Ethical Considerations in Autonomous Driving
职业道路
Career Role Description Automated Driving Systems Engineer (ADAS) Develop and test algorithms for advanced driver-assistance systems (ADAS), including lane keeping assist, adaptive cruise control, and automatic emergency braking.
High demand for expertise in sensor fusion and machine learning.
Software Engineer - Autonomous Vehicles Design, develop, and maintain software for self-driving cars, focusing on perception, planning, and control systems.
Requires proficiency in C++, Python, and robotics.
AI/Machine Learning Specialist - Automated Driving Develop and implement machine learning models for object detection, classification, and path planning in autonomous vehicles.
Strong knowledge of deep learning frameworks is essential.
Data Scientist - Automated Driving Systems Analyze large datasets from autonomous vehicle testing to improve system performance and safety.
Expertise in statistical modeling and data visualization is crucial.
Validation and Verification Engineer - Autonomous Vehicles Ensure the safety and reliability of autonomous driving systems through rigorous testing and validation procedures.
Experience with simulation and testing methodologies is highly valued.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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