Certificate Automotive Connectivity and IoT

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The Certificate in Automotive Connectivity and IoT is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving automotive industry. This course focuses on the integration of connectivity and Internet of Things (IoT) technologies in modern vehicles, highlighting their importance in enhancing user experience, safety, and vehicle efficiency.

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In this era of digital transformation, automotive manufacturers and suppliers are increasingly demanding professionals with a deep understanding of connectivity and IoT. By enrolling in this course, learners will gain expertise in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, data analytics, and security, making them highly attractive candidates for various job roles such as Connected Car Engineer, IoT Solution Architect, and Automotive Data Analyst. Upon completion, learners will be well-equipped to design, develop, and maintain cutting-edge automotive connectivity and IoT solutions, ensuring they stay ahead in this competitive and exciting industry.

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โ€ข Automotive Connectivity Fundamentals: Understanding the basics of automotive connectivity, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.

โ€ข IoT Architecture and Protocols: Exploring IoT system architecture and communication protocols, such as MQTT, CoAP, and AMQP, in the context of automotive connectivity.

โ€ข Data Security and Privacy: Learning about data security and privacy challenges in connected vehicles, including encryption, access control, and anonymization techniques.

โ€ข Over-the-Air (OTA) Updates: Understanding the process, benefits, and challenges of OTA updates, as well as best practices for implementing and managing OTA updates in connected vehicles.

โ€ข Cloud Platforms and Services: Investigating cloud platforms and services for automotive connectivity, including AWS, Microsoft Azure, and Google Cloud.

โ€ข Automotive Cybersecurity Threats and Mitigation: Examining current and emerging cybersecurity threats to connected vehicles, and exploring strategies for mitigating these threats.

โ€ข Artificial Intelligence (AI) and Machine Learning (ML): Introducing AI and ML techniques for automotive connectivity, such as predictive maintenance, anomaly detection, and personalized driving experiences.

โ€ข Automotive Connectivity Testing and Validation: Learning about testing and validation strategies for connected vehicle systems, including functional, performance, and security testing.

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CERTIFICATE AUTOMOTIVE CONNECTIVITY AND IOT
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ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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