Embark on a transformative journey into the realm of Industrial Internet of Things (IIoT) with the "Developing Industrial Internet of Things" course. Delivered by the University of Colorado Boulder, this specialization is designed to provide a comprehensive understanding of the technologies and strategies essential for building and implementing IIoT solutions.
Throughout the course, participants will explore a diverse range of topics, from market opportunities and operating systems to networking concepts, security measures, and project management. The curriculum delves into sensor technologies, file systems, storage devices, machine learning, big data analytics, and SystemC. It also encompasses debugging techniques for deeply embedded systems and the vital business concepts that engineers must grasp, such as CapEx and OpEx.
This course not only imparts technical knowledge but also emphasizes the significance of key business concepts, ensuring that participants emerge as well-rounded professionals equipped to navigate the complexities of IIoT development and deployment. By enrolling in this specialization, learners will master the fundamental skills required to excel in the dynamic and rapidly evolving landscape of Industrial Internet of Things.
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Explore the "Developing Industrial Internet of Things" course through modules covering IIoT markets and security, project planning and machine learning, and modeling and debugging embedded systems.
Uncover the dynamics of IIoT markets and security, including insights into Industry 4.0, key skills essential for IIoT employment, platform overview, and top application areas. Gain comprehensive knowledge on software, services, and application areas like manufacturing and oil & gas.
Delve into project planning and machine learning, learning to staff, plan, and execute a project effectively. Explore the intricate process of building a bill of materials for a product, calibrating sensors, and comprehending the operation of hard drives and solid-state drives.
Gain a deep understanding of modeling and debugging embedded systems, including insights into SystemC and its application in creating cyber-physical system models. Explore embedded systems in automotive, transportation, and Trimble Engineering's heavy equipment automation, and master the art of debugging deeply embedded systems.
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