Masterclass Certificate Automotive AI: Safety Redefined

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The Masterclass Certificate in Autonomous Automotive AI: Safety Redefined is a comprehensive course that equips learners with essential skills for career advancement in the rapidly evolving automotive industry. This course emphasizes the importance of AI and machine learning in creating safe and reliable autonomous vehicles, focusing on developing, testing, and validating these systems.

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In this era of Industry 4.0, there is a rising demand for professionals who can design and implement AI-driven automotive solutions. By enrolling in this course, learners can gain a competitive edge and contribute to shaping the future of transportation. The curriculum covers key topics such as sensor fusion, computer vision, and functional safety, providing a solid foundation for understanding the complexities of autonomous vehicle systems. Upon completion, learners will be awarded a Masterclass Certificate, demonstrating their expertise in automotive AI and safety engineering. By mastering these skills, professionals can unlock new career opportunities in automotive, technology, and consulting firms, driving innovation and ensuring a safer and more sustainable future for all.

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โ€ข Unit 1: Introduction to Automotive AI
โ€ข Unit 2: Sensor Technologies in Autonomous Vehicles
โ€ข Unit 3: Advanced Driver Assistance Systems (ADAS)
โ€ข Unit 4: Computer Vision and Object Detection
โ€ข Unit 5: Deep Learning and Neural Networks in Autonomous Driving
โ€ข Unit 6: AI Algorithms for Autonomous Vehicle Decision Making
โ€ข Unit 7: Safety Standards and Regulations in Autonomous Vehicles
โ€ข Unit 8: AI Ethics and Moral Dilemmas in Autonomous Driving
โ€ข Unit 9: Testing and Validation of Autonomous Vehicle Systems
โ€ข Unit 10: Future of Autonomous Driving and AI Safety

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
MASTERCLASS CERTIFICATE AUTOMOTIVE AI: SAFETY REDEFINED
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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