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MIT CEU’s
Interaction and connection: two key pieces of the Digital Era
The Internet of Things (IoT) is changing the way we live and work to an unprecedented degree. This technology allows anything from sensory devices to household appliances to be connected through the internet and interact without human intervention.
IoT is already offering completely new, versatile, and applicable opportunities in daily life, but especially in professional life, since it allows organizations to design and optimize the production of smart systems that provide a vision and control of the world that were previously unimaginable.
80%
Over 80% of senior executives from all industries, on average, say that IoT is critical to some or all lines of their business.
Source: Statista
3.5 billion
The number of IoT cellular connections is expected to reach 3.5 billion by 2023.
Source: Ericsson
64 billion
Over 64 billion IoT devices are expected worldwide by 2025.
Source: Business Insider, IoT Analytics, Gartner, Intel
An online course for understanding Industrial Internet of Things (IIoT)
Through this course, MIT Professional Education gives professionals access to the notion of technology that is going Internet of Things (IIoT): IoT+. With this purpose, they will be able to acquire knowledge that goes beyond the own margins of IoT and machine learning, and consequently, apply it in their professional activities.
Participants will travel through the basic concepts of IoT, gaining knowledge previously unthinkable about the relationships between the real and the artificial world, and will study the main technologies of detection software, computing and communication, central to the recent stream of IoT+ practices.
The skills you will develop
1.
You will learn how to design and assemble integrated
and IoT+ systems and sensors, where hardware and software interact.
2.
You will be able to design IoT+ products
using all the potential of the hardware and software.
3.
You will understand how to solve data science problems
using modern machine learning techniques.
4.
You will be able to construct solutions
for industry (transport, health, agriculture, etc.) thanks to IoT+.
5.
You will learn how to build complete systems
that include hardware and software and be exposed to modern and exciting hardware prototyping platforms.
6.
You will master the use of sensors,
detection technologies and integrated systems in the context of IoT+.
7.
You will get to use the technology behind IoT+
to develop real applications and improve them through smart technologies.
In addition, you will receive a Certificate of Completion
All the participants who successfully complete the online course Industrial internet of Things: From Theory to Applications will receive an MIT Professional Education Certificate of Completion. Furthermore, participants will receive * MIT Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
* The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
This course is directed to
- ENGINEERS
and engineering managers.
- PLANT MANAGERS
working in the secondary sector.
- DESIGN AND MANUFACTURING ENGINEERS
seeking to gain knowledge about data and modeling in the manufacturing industry.
- DATA SCIENTISTS
who want to put their skills into practice in a field that is continually growing.
- CONSULTANTS
whose objective is to add value to the latest technological changes in the manufacturing process.
We recommend that functional and multifunctional teams conduct the course together to accelerate the adoption of smart manufacturing.
Meet the instructors of this course
Listed in alphabetical order
DR. BRIAN W. ANTHONY
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
“Using technology to refine the manufacturing process allows us to offer better products in the market, faster and more economically”
Learn more
Dr. Anthony is director of the MIT Master of Engineering in Manufacturing Program and co-director of the Medical Electronic Device Realization Center. He possesses more than 20 years of product realization experience and has won an Emmy from the Academy of Television Arts and Sciences for his innovations in broadcast technology. Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves the analysis and the design of systems. He also uses mechanical, electrical and optical engineering as well as computer science and optimization to develop solutions.
Dr. Anthony´s research revolves around the design of instruments and techniques for measuring and controlling complex physical systems and includes the development of instruments and measurement solutions for manufacturing, medical diagnostics, and imaging diagnostics. In addition to his academic work, he has extensive experience in market-driven technological innovation, product development and entrepreneurship, and marketing at the point where information technology and advanced manufacturing come into contact. As a teacher, his main interests are the modeling of large-scale systems in a variety of areas involving decision making and the development of optimization algorithms and software useful for analyzing and designing these types of systems. He is an expert in market-driven technological innovations, as well as in entrepreneurship.
Discover the experience of our participants
Andrea Julian
Functional Specialist at Continental
I really enjoyed this course, even as a non-engineering profile…I liked that the course focused on giving us a thorough understanding of IoT technologies, its applications and applications.
Industrial Internet of Things online course
Juan Renzulli
Consultant at IBM
This course provides a highly comprehensive view of the world of IoT+, which allows for an understanding the use and selection of sensors, as well as the interpretation of data and selection of algorithms suitable for the use of Machine Learning and Artificial Intelligence.
Industrial Internet of Things online course
