IoT Systems and Industrial Applications with Design Thinking from edX

Internet of Things (IoT) and smart connected devices have radically changed the way our world works and how companies operate and create new businesses. 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.

What's inside

Learning objectives

Overview of
Iot
Business model canvas.
Description of typical iot components and
.
Communication standards and big data cloud infrastructure
In the case of

Security requirements and techniques in iot systems.
Different types of artificial intelligence (ai) technologies
In the context of iot
Concept
revenue
in iot.

Overview of
Iot
Business model canvas.
Description of typical iot components and
.
Communication standards and big data cloud infrastructure
In the case of
Security requirements and techniques in iot systems.
Different types of artificial intelligence (ai) technologies
In the context of iot
Concept
revenue
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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to fundamental IoT technologies and concepts

Taught by experienced instructors at EPFL and the University of Oxford

Develops a learners understanding of how IoT technologies are transforming businesses

Covers the latest IoT trends and innovations

Suitable for learners with varying background knowledge

Provides a solid foundation for further study in IoT

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in IoT Systems and Industrial Applications with Design Thinking with these activities:

Read 'Internet of Things: A Hands-On Approach' by Arshdeep Bahga and Vijay Madisetti

Show steps

Gain a comprehensive understanding of IoT technologies, architectures, and applications by reading this introductory guide.

View Blockchain Applications: A Hands-On Approach on Amazon

Show steps

Follow a tutorial on setting up and configuring an IoT device

Show steps

Develop practical skills in setting up and managing IoT devices by following a guided walkthrough.

Browse courses on Edge AI

Show steps

Choose a tutorial that aligns with your interests and learning objectives.
Follow the instructions in the tutorial step-by-step.
Troubleshoot any issues that you encounter.
Experiment with different configurations and settings.

Create a prototype of an IoT device

Show steps

Develop a deep understanding of the components and functionalities of IoT devices by building one yourself.

Browse courses on IoT

Show steps

Choose a problem or application that you want to address with your IoT device.
Design the hardware and software components of your device.
Build a prototype of your device.
Test and iterate on your prototype.
Present your prototype to your classmates or a group of experts.

Show all three activities

Career center

Learners who complete IoT Systems and Industrial Applications with Design Thinking will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are needed to help businesses make sense of the large amounts of data they collect. This data can come from a variety of sources, including IoT devices. The course can help Data Analysts build valuable skills in AI and machine learning, as well as the fundamentals of IoT and business model canvas techniques.

See salaries and explore the career path for Data Analyst

Data Scientist

The course can be useful in the field of Data Science. Data Scientists need a deep understanding of both computer science and statistics to be successful. In this course, you will learn about the fundamental building blocks of IoT, the fast-changing trends to combine them suitably for a precise industrial application, and different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT.

See salaries and explore the career path for Data Scientist

Product Manager

Product Managers need to understand the needs of their customers and translate those needs into technical requirements. This course can help Product Managers to develop business model canvases, and learn about the latest IoT concepts and business success stories.

See salaries and explore the career path for Product Manager

Systems Engineer

The course can be useful in the field of Systems Engineering. Systems Engineers need to have a strong understanding of how different systems work together. In this course, you will learn about the different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT, as well as the communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.

See salaries and explore the career path for Systems Engineer

Business Analyst

This course can be useful in the field of Business Analysis. Business Analysts help businesses to improve their processes and make better decisions. In this course, you will learn about the different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT, as well as the communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.

See salaries and explore the career path for Business Analyst

Software Engineer

The course can be useful in the field of Software Engineering. Software Engineers need to have a strong understanding of how to design, develop, and test software systems. In this course, you will learn about the IoT ecosystem as a whole, from the physical devices to the cloud platforms and services that support them.

See salaries and explore the career path for Software Engineer

IT Architect

The course can be useful in the field of IT Architecture. IT Architects design and manage the technology infrastructure for organizations. In this course, you will learn about the different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT, as well as the communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.

See salaries and explore the career path for IT Architect

Hardware Engineer

The course can be useful in the field of Hardware Engineering. Hardware Engineers design and develop the physical components of computer systems. In this course, you will learn about the IoT ecosystem as a whole, from the physical devices to the cloud platforms and services that support them.

See salaries and explore the career path for Hardware Engineer

Network Engineer

The course can be useful in the field of Network Engineering. Network Engineers design, implement, and maintain computer networks. In this course, you will learn about the different communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.

See salaries and explore the career path for Network Engineer

Security Analyst

The course can be useful in the field of Security Analysis. Security Analysts identify and mitigate security risks to computer systems. In this course, you will learn about the different security requirements and techniques in IoT systems.

See salaries and explore the career path for Security Analyst

Data Architect

The course may be useful in the field of Data Architecture. Data Architects design and manage the data infrastructure for organizations. In this course, you will learn about the different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT.

See salaries and explore the career path for Data Architect

Cloud Engineer

The course may be useful in the field of Cloud Engineering. Cloud Engineers design and manage cloud computing systems. In this course, you will learn about the different communication standards and Big data cloud infrastructure partners to choose in the case of IoT businesses.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

The course may be useful in the field of DevOps Engineering. DevOps Engineers implement and maintain software systems. In this course, you will learn about the different types of artificial intelligence (AI) technologies and edge AI systems in the context of IoT.

See salaries and explore the career path for DevOps Engineer

Quality Assurance Analyst

The course may be useful in the field of Quality Assurance Analysis. Quality Assurance Analysts test and evaluate software systems to ensure that they meet quality standards. In this course, you will learn about the IoT ecosystem as a whole, from the physical devices to the cloud platforms and services that support them.

See salaries and explore the career path for Quality Assurance Analyst

Technical Writer

The course may be useful in the field of Technical Writing. Technical Writers create documentation for software and hardware products. In this course, you will learn about the IoT ecosystem as a whole, from the physical devices to the cloud platforms and services that support them.

See salaries and explore the career path for Technical Writer