Internet of Things and AI Cloud Specialization

Do you want to develop skills to prototype embedded products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC).

This is the first in a series of courses where you will learn both the theory and get the hands-on development practice needed to prototype Internet of Things products. This course is suitable for a broad range of learners. This course is for you if: - You want to learn how to use learn how to use Linux for embedded purposes. - You want to pivot your career towards the design and development of Internet of Things enabled products - You are an entrepreneur, innovator or member of a DIY community Learning Goals: After completing this course, you will be able to: 1) Know where you can find resources and help in the 96Boards ecosystem. 2) Describe the DragonBoard™ 410c peripherals, I/O expansion capabilities, Compute (CPU and Graphics) capabilities, and Connectivity capabilities. 3) Understand how to navigate and make use of the Linux terminal. 4) Configure at least one integrated development environment (IDE) for developing software. 5) Make use of Git and GitHub for version control purposes. 6) Create and build projects that interface with sensors and actuators through GPIO and Arduino.

Have you wondered what exactly AWS is and why is it important? Do you want to make informed design decisions about which services to use? Do you want to gain expertise to leverage the cloud for your own projects?

In this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud. Along the way, you’ll learn how to structure your project with a variety of these difference services. Learning Goals: After completing this course, you will be able to: 1) Understand what the cloud is and how it works. 2) Install and configure the AWS CLI and SDK on a Linux system. 3) Use various AWS services such as EC2, IoT, and many more. 4) Build projects that heavily leverage the cloud. 5) Integrate the cloud into embedded systems.

Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors.

In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages. You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app. Learning Goals: After completing this course, you will be able to: 1. Implement session initiation, management and termination on your DragonBoard™ 410c using SIP. 2. Discover other users and exchange device capabilities. 3. Compare and contrast narrowband and wideband codecs and experience the voice quality differences between them. 4. Implement and demonstrate VoIP calls using the DragonBoard 410c.

Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective.

In this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc. You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application. Learning Goals: After completing this course, you will be able to: 1. Explain the tradeoffs between media quality and bandwidth for content delivery. 2. Extract and display metadata from media files. 3. Implement and demonstrate a simple media player application using DragonBoard™ 410c.

In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our courses to achieve a robust, practical and/or fun-filled project.

We absolutely encourage you to design whatever you can think up! This is your chance to be creative or to explore an idea that you have had. But if you don’t have your own idea, we provide the description of a surveillance system, for you to build. We will participate in the Capstone with you by building a surveillance system that features an off-grid solar powered workstation that will serve as a hub to multiple surveillance sensors. You will be able to demonstrate the knowledge and skills you have gained in this course through delivery of industry-appropriate documents such as System Design documents and Unit Test reports. Additionally, you will be asked to describe and show case your project as a short video presentation – appropriate for demonstrating your knowledge and technical communication skills. Learning Goals: After completing this Capstone, you will be able to: 1. Design systems using mobile platforms. You will gain experience in documenting and presenting designs. 2. Develop systems that interface multiple sensors and actuators to the DragonBoard™ 410c system and develop the necessary software to create a fully functional system. 3. Specify unit tests and system tests, run tests and prepare Test Reports as are commonly done by those working in this industry. 4. Gain experience (and feedback!) in making technical presentations.