* 10% early registration bonus available until May 25, 2021
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.
Over 80% of senior executives from all industries, on average, say that IoT is critical to some or all lines of their business.
The number of IoT cellular connections is expected to reach 3.5 billion by 2023.
Over 64 billion IoT devices are expected worldwide by 2025.
Source: Business Insider, IoT Analytics, Gartner, Intel
An online program for understanding beyond IoT
Through this program, MIT Professional Education gives professionals access to the notion of technology that is going beyond IoT: 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
You will learn how to design and assemble integrated
and IoT+ systems and sensors, where hardware and software interact.
You will be able to design IoT+ products
using all the potential of the hardware and software.
You will understand how to solve data science problems
using modern machine learning techniques.
You will be able to construct solutions
for industry (transport, health, agriculture, etc.) thanks to IoT+.
You will learn how to build complete systems
that include hardware and software and be exposed to modern and exciting hardware prototyping platforms.
You will master the use of sensors,
detection technologies and integrated systems in the context of IoT+.
You will get to use the technology behind IoT+
to develop real applications and improve them through smart technologies.
This program is directed to
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.
whose objective is to add value to the latest technological changes in the manufacturing process.
We recommend that functional and multifunctional teams conduct the program together to accelerate the adoption of smart manufacturing.
Meet the Faculty of this program
DR. BRIAN W. ANTHONY
Associate Director of MIT.nano
“Using technology to refine the manufacturing process allows us to offer better products in the market, faster and more economically”
Dr. Anthony is director of the MIT Master of Engineering in Manufacturing Program, co-director of the Medical Electronic Device Realization Center and deputy director of the MIT Skoltech Initiative. He has over 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 for monitoring and controlling physical systems. His work involves the analysis and design of systems. He also draws on mechanical, electrical and optical engineering as well as computer science and optimization to develop solutions.
Dr. Anthony’s research focuses on 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 systems. 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.