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Career Advancement Programme in Autonomous Vehicles Safety
-- ViewingNowAutonomous Vehicle Safety: This Career Advancement Programme is designed for engineers, software developers, and safety professionals seeking expert knowledge in autonomous driving systems. Gain in-depth understanding of functional safety, ISO 26262, and cybersecurity standards.
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CourseDetails
- Functional Safety Standards for Autonomous Vehicles
- ISO 26262 and its Application to AVs
- Safety Architectures for Autonomous Driving Systems
- Verification and Validation Techniques for AV Safety
- Sensor Fusion and Perception for Safety
- Cybersecurity for Autonomous Vehicles
- AI Safety and Explainable AI in Autonomous Driving
- Legal and Ethical Considerations of AV Safety
- Human-Machine Interaction and Trust in Autonomous Vehicles
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Career Role Description Autonomous Vehicle Safety Engineer Develops and implements safety systems for self-driving cars, ensuring compliance with regulations and industry best practices.
Focuses on functional safety and cybersecurity aspects.
AI/ML Engineer (Autonomous Vehicles) Designs, develops, and deploys machine learning algorithms for perception, planning, and control in autonomous driving systems.
Key skills include deep learning and computer vision.
Software Engineer (Autonomous Vehicle Safety) Develops and maintains software for safety-critical systems in autonomous vehicles, emphasizing robustness, reliability, and security.
Safety Validation and Verification Engineer (AV) Verifies and validates the safety of autonomous driving systems through rigorous testing and simulation, ensuring they meet safety requirements.
Cybersecurity Engineer (Autonomous Vehicles) Secures autonomous vehicle systems against cyber threats and vulnerabilities, safeguarding against malicious attacks and data breaches.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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