Reinforce Your Team's Performance

Transform your department or organization with MIT Professional Education group benefits

The more team members you enroll in your organization, the more benefits you can acquire. Depending on the number of members enrolled in our courses, you could obtain these benefits:

  • Special pricing
  • Focus-based, industry-specific feedback from specialized learning facilitators
  • Collaborative learning experience
  • Overall better performance and outcomes

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Why Enroll in this Course?

Become part of the MIT community, the leading institution in the World for Innovation.

The Internet of Things (IoT) is changing the way we live and work to an unprecedented degree.

IoT is offering completely new, versatile, and applicable opportunities in our daily lives.

IoT allows organizations to design and optimize the production of smart systems.

The course 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.

What will you learn?

Design and assemble IoT+ systems and sensors

Design IoT+ products

Solve data science problems

Use IoT to construct solutions for industry

Use the technology behind IoT

Certificate Industrial internet of Things: From Theory to Applications | MIT Professional Education

All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as 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.

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Course Outline

Module 1: Introductions, Markets, Needs and Trends

To begin we will gain an insight into the risks and limitations associated with grouping advanced sensors, computation, and communications under one IoT concept. We will learn about the application and technology building blocks of the IoT ecosystem and understand how IoT is changing industries, and how to apply it to yours.

Module 2: Sense I

After learning about fundamentals, we will understand the visualization of a signal in time and frequency domains, learn to describe the basics of sensors, and select and compare sensor options. Afterward, we will understand the fundamental properties and characteristics that are important when selecting a sensor.

Module 3: Sense II

In this module, we will provide further insight into the topic of sensing. We'll cover data acquisition, the Fourier transform, time and frequency, and how each of these concepts link back to simple and complex cases.

Module 4: Compute

Next, we will learn how to use algorithms and apply them to motivating cases, gain insight into the design of a sensing system and the issue of efficiency, learn about convolution and examine examples of machine vision tools and linear filtering. At the end of this module, we will review basic statistical theory and apply this knowledge to relevant cases.

Module 5: Learn

In this module, we will introduce machine learning methods and look at decision trees and their applications, then we will understand how and when to use optimization machine learning methods such as the support vector machine algorithm and neural nets.

Module 6: Locate

In this module, we will cover waves, energy propagation and reflection, GPS, inertial sensing, and SLAM (simultaneous localization and mapping). We'll conclude by looking at how localization technologies are used to respond to business and consumer needs.

Module 7: Communicate

Next, we will grasp the basics of communications technology, evaluate the suitability of different communications platforms for different situations, and learn how to develop protocols based on noise and communications channels.

Module 8: Integrate I

In this module, we will learn how to apply the concepts we have covered during this program to real-life cases. We will examine how to monitor aerosol levels in a natural forest environment. and move on to using images and video to monitor complex processes in manufacturing systems.

Module 9: Integrate II

This section will focus on MIT's response to the coronavirus pandemic and how beyond IoT technologies were used to generate solutions. You will learn how MIT helped communities to stay safe and reduce exposure risk by developing ways to measure vital signs.



Associate Director of MIT.NANO

The course was very interesting, with a lot of useful content in our professional journey. The professor and the facilitator were very smart and dedicated to teach us on every content. I'm excited to dedicate a good time to apply the wonderful knowledge I got from this course.

Juceleno Lopes Souza - Packaging Handling - Layout Consultant, Intralox, LLC

Professionals from these leading organizations have completed this course:

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Logo Renault Nissan Mitsubishi
Logo Amazon
Logo Boeing
Logo Facebook
Logo Google
Logo Johnson&Johnson
Logo PayPal
Logo Renault Nissan Mitsubishi