Advanced Certificate in IoT Fleet Logistics
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Course details
4-5 years of study in a recognized bachelor’s degree program in a relevant field, such as supply chain management, transportation, or business, is the basic requirement to be eligible to apply for the Advanced Certificate in IoT Fleet Logistics. Here is the curriculum for the program:
• Connect & Establish IoT Network - an introduction to IoT network engineering, network architecture, and connectivity principles.
• IoT Data Analytics & Edge Computing - an overview of data analysis, data storage, and processing methods, as well as edge computing architecture and platforms.
• Fleet Management Fundamentals - principles of fleet management, including fleet planning, routing, scheduling, and tracking.
4-4,3,2,2,3.5 credits)
• Cloud-Based Fleet Management Systems - an in-depth study of cloud-based fleet management systems, including system design, architecture, and integration, as well4 advancement and optimization techniques.
3,3.4,4,4,4.4 credits)
5.4,4.4,3.4,4,4.2 credits).
5.5 of Microcontrollers & IoT Sensors - an introduction to microcontrollers, IoT sensors, and their roles in IoT applications, with a focus on the principles of sensor connectivity and data transmission.
4.4,2,4.3,5.2,2.4 credits).
5AC4.3,2.4,4.3,2.4,5.4 credits.
4.4,4.2,4.3,4.2,3 sought after authorization and standards in IoT applications, including data privacy, security, and DevOps skills.
3.3,2.3,3 4.4,4.2 credit5.
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