best security practicesmachine learning and big data analyticsleading platforms for IIoT developmentoperating systems in IIoT deploymentswireless protocolsC/C++
Developing Industrial Internet of Things 專項課程
Engage the Technology that Drives Industrial IoT. Master the key skills required to be employed in the Industrial Internet of Things space
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您將學到的內容有
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
What Industry 4.0 is and what factors have enabled the IIoT.
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關於此 專項課程
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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. Enroll here.
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.
應用的學習項目
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.
可分享的證書
完成後獲得證書
100% 在線課程
立即開始，按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
Aimed at working engineers in embedded systems for the Industrial IoT, background in BSEE, computer architecture, python, and C/C++ is useful.
完成時間大約為4 個月
建議 4 小時/週
英語（English）
字幕：英語（English）
可分享的證書
完成後獲得證書
100% 在線課程
立即開始，按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
Aimed at working engineers in embedded systems for the Industrial IoT, background in BSEE, computer architecture, python, and C/C++ is useful.
完成時間大約為4 個月
建議 4 小時/週
英語（English）
字幕：英語（English）
此專項課程包含 3 門課程
Industrial IoT Markets and Security
181 個評分
This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.
Project Planning and Machine Learning
38 個評分
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree.
Modeling and Debugging Embedded Systems
58 個評分
This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree.
提供方
科罗拉多大学波德分校
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
立即開始攻讀碩士學位
此 專項課程 隸屬於 科罗拉多大学波德分校 提供的 100% 在線 Master of Science in Electrical Engineering。如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
常見問題
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This program is part of the University of Colorado Boulder's Master of Science in Electrical Engineering, a fully MOOC-based accredited master's degree offered in partnership with Coursera. In addition to the coursework in this non-credit specialization, which will transfer to your for-credit course, if you pay tuition and pass all required for-credit work in each course, you will earn CU Boulder academic credit and can potentially apply that credit toward a degree. Learn more, and start your journey today.
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