- Platform
- Coursera
- Provider
- IBM
- Effort
- 2-4 hours a week
- Length
- 4 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<<
The Internet of Things (IoT) is an area of rapid growth and opportunity. Technical innovations in networks, sensors and applications, coupled with the advent of 'smart machines' have resulted in a huge diversity of devices generating all kinds of structured and unstructured data that needs to be processed somewhere. Collecting and understanding that data, combining it with other sources of information and putting it to good use can be achieved by using connectivity, analytical and cognitive services now available on the cloud, allowing development and deployment of solutions to be achieved faster and more efficiently than ever before.
This course is an entry level introduction to developing and deploying solutions for the Internet of Things. It will focus on capturing data from a trusted device and sending the data to a cloud platform where it can be exploited by the many services available. You will explore all the steps required to create a basic IoT solution using a popular device, the Raspberry Pi, and a trial version of the cloud-based IBM Watson IoT Platform.
What you will learn:
Quickly create applications that leverage connectivity and analytics as part of an integrated IoT platform. Use Node-RED, an open-source visual application development environment, on both the device and the cloud. Create a basic IoT solution by leveraging pre-built blocks of code that abstracts and speeds the development process. Use APIs to access the platform and explore the different connectivity options for various devices, gateways and applications. Explore options to ensure your solution makes best use of the captured data.
Taught by
Brian Innes and Yianna Papadakis Kantos
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<<
The Internet of Things (IoT) is an area of rapid growth and opportunity. Technical innovations in networks, sensors and applications, coupled with the advent of 'smart machines' have resulted in a huge diversity of devices generating all kinds of structured and unstructured data that needs to be processed somewhere. Collecting and understanding that data, combining it with other sources of information and putting it to good use can be achieved by using connectivity, analytical and cognitive services now available on the cloud, allowing development and deployment of solutions to be achieved faster and more efficiently than ever before.
This course is an entry level introduction to developing and deploying solutions for the Internet of Things. It will focus on capturing data from a trusted device and sending the data to a cloud platform where it can be exploited by the many services available. You will explore all the steps required to create a basic IoT solution using a popular device, the Raspberry Pi, and a trial version of the cloud-based IBM Watson IoT Platform.
What you will learn:
Quickly create applications that leverage connectivity and analytics as part of an integrated IoT platform. Use Node-RED, an open-source visual application development environment, on both the device and the cloud. Create a basic IoT solution by leveraging pre-built blocks of code that abstracts and speeds the development process. Use APIs to access the platform and explore the different connectivity options for various devices, gateways and applications. Explore options to ensure your solution makes best use of the captured data.
Syllabus
Introduction to the course
Welcome to the course. This learning module introduces you to course and the instructors. The module outlines the content covered on the course and gives an introduction to the Internet of Things. It also discusses the requirements needed to complete the course including the hardware, software and details of prerequisite skills required to complete the programming assignments
Rapid application development in the cloud
An Internet of Things solution usually requires a back-end server to receive and process data coming from sensors. Cloud platforms allow new solutions to be created and deployed very rapidly without having to worry about how to host the application. This series of lessons introduces you to a cloud based Platform as a Service and an open source rapid application development environment called NodeRED.
Rapid application development on a Raspberry Pi
This unit looks at how to add a device to your solution. Creating an application on a Raspberry Pi and establishing secure, trusted communication between your cloud application and devices
Lower level programming for the Internet of Things
Up to now the course has used the NodeRED rapid application development environment. This unit looks at how to program for the Internet of Things platform using more traditional programming environments
Introduction to the course
Welcome to the course. This learning module introduces you to course and the instructors. The module outlines the content covered on the course and gives an introduction to the Internet of Things. It also discusses the requirements needed to complete the course including the hardware, software and details of prerequisite skills required to complete the programming assignments
Rapid application development in the cloud
An Internet of Things solution usually requires a back-end server to receive and process data coming from sensors. Cloud platforms allow new solutions to be created and deployed very rapidly without having to worry about how to host the application. This series of lessons introduces you to a cloud based Platform as a Service and an open source rapid application development environment called NodeRED.
Rapid application development on a Raspberry Pi
This unit looks at how to add a device to your solution. Creating an application on a Raspberry Pi and establishing secure, trusted communication between your cloud application and devices
Lower level programming for the Internet of Things
Up to now the course has used the NodeRED rapid application development environment. This unit looks at how to program for the Internet of Things platform using more traditional programming environments
Taught by
Brian Innes and Yianna Papadakis Kantos