Engage the Technology that Drives Industrial IoT. Master the key skills required to be employed in the Industrial Internet of Things space

What you'll learn
Understand the various market segments and the potential revenue opportunities in each market segment

Plan for and develop a solid security approach to keep advisories from hacking an IIoT system

Staff a project and then plan and execute a product schedule

Skills you'll gain
best security practices
machine learning and big data analytics
leading platforms for IIoT development
operating systems in IIoT deployments
wireless protocols

The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder's Master of Science in Electrical Engineering degree.

In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.

Applied Learning Project

In this Specialization, you will complete 2 projects. The first gives you hands-on experience with computer security. The second is a product tear-down which provides key insights into how products are built. As part of this second project, you will build a bill of materials, sometimes known as a BOM.

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