EdX

IoT Systems and Industrial Applications with Design Thinking (edX)

IoT Systems and Industrial Applications with Design Thinking (edX)

The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products. Internet of Things (IoT) and smart connected devices have radically changed the way our world works and how companies operate and create new businesses.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Do you want to learn about IoT fundamentals? This is a course for you! In this course we provide an overview of the underlaying IoT technologies and its business applications.
This course is an introduction to IoT and explains why it is a continuously evolving concept with many industrial applications. You will learn the fundamental building blocks of IoT and the fast-changing trends to combine them suitably for a precise industrial application. Join us to learn about the latest IoT concepts and business success stories!
No previous advanced electronics or communication knowledge needed. Join us to start your IoT journey.

What you'll learn

  • Overview of what is Internet of Things (IoT) and how to develop a business model canvas.
  • Description of typical IoT components and edge computing concept.
  • Communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.
  • Security requirements and techniques in IoT systems.
  • Different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT.
  • Design thinking concept, and how to setup the business model and revenues in IoT.

Syllabus

Week 1: Overview of IoT Technologies and Business Links
Week 2: Business Model Canvas
Week 3: IoT Components and Design Thinking
Week 4: Edge AI Sensors Optimization for IoT Applications and Developing Value Propositions
Week 5: Communication and Cloud Platforms, and Linking With the Development of Business Models for IoT
Week 6: Edge Machine Learning in the IoT Era
Week 7: Security in IoT Products and Services

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Recommender Systems: Behind the Screen (edX) EdX
Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. This course was developed by IVADO and HEC Montréal as part of a workshop that took place in Montreal.

Sep 26th 2023
5-12 Weeks
Big Data Analytics Using Spark (edX) EdX
University of California, San Diego,UC San DiegoX

Big Data Analytics Using Spark (edX)

Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark.

Dec 5th 2023
5-12 Weeks
Introduction to Scientific Machine Learning (edX) EdX
Purdue University,PurdueX

Introduction to Scientific Machine Learning (edX)

Learn the basics of machine learning with hands-on practical examples on engineering applications. This course provides an introduction to data analytics for individuals with no prior knowledge of data science or machine learning. The course starts with an extensive review of probability theory as the language of uncertainty, discusses Monte Carlo sampling for uncertainty propagation, covers the basics of supervised (Bayesian generalized linear regression, logistic regression, Gaussian processes, deep neural networks, convolutional neural networks), unsupervised learning (k-means clustering, principal component analysis, Gaussian mixtures) and state space models (Kalman filters).

Aug 21st 2023
13-24 Weeks
Design Thinking for Leading and Learning (edX) EdX
MIT,Microsoft,MITx

Design Thinking for Leading and Learning (edX)

A hands-on course for education leaders to learn about design thinking and explore how it can transform classroom learning and school communities. How do we prepare K-12 students and learning communities to be as successful as possible? If future jobs require creativity, problem-solving and communication, how do we teach these skills in meaningful ways? How do we bring together passionate school leaders to create systemic solutions to educational challenges? Come explore these questions and more in Design Thinking for Learning and Leading.

No sessions available
5-12 Weeks
Computing for Data Analysis (edX) EdX
Georgia Institute of Technology,GTx

Computing for Data Analysis (edX)

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. In the course, you’ll see how computing and mathematics come together.

Aug 19th 2024
13-24 Weeks
Big Data Strategies to Transform Your Business (edX) EdX
Delft University of Technology,DelftX

Big Data Strategies to Transform Your Business (edX)

Make your organization’s business strategy and model, as well as your own career path, future-proof by using big data’s disruptive power. While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Self Paced
Self-Paced
Product Design: The Delft Design Approach (edX) EdX
Delft University of Technology,DelftX

Product Design: The Delft Design Approach (edX)

Learn to design meaningful products and services in this challenging design course. Do you want to learn how to design? Using the Delft Design Approach, you will learn how to use a number of key design methods to create meaningful products and services. This course is an introduction to the Delft Design Approach offering a set of signature methods from Delft to teach you how to get from understanding the user in context to defining a meaningful design challenge and – in the end – deliver a great design!

Self Paced
Self-Paced
Machine Learning with Python: from Linear Models to Deep Learning (edX) EdX
MIT,MITx

Machine Learning with Python: from Linear Models to Deep Learning (edX)

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.

May 27th 2024
13-24 Weeks
Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization.

No sessions available
4 Weeks
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced