Internet of Things (IoT) is all of the rages nowadays. Internet of Things (IoT) are devices and components that exist all around us in our day to day lives which communicate with and connect through cloud networks and the internet. This includes cellular service in vehicles, specialized thermostats, and health bands that monitor health. This course will provide an introduction to the subject of Internet of Things (IoT) and provide an overall understanding.
- This course is geared for anyone currently looking to learn about and get a better understanding of Internet of Things (IoT)
- Viewers require no previous experience with Internet of Things (IoT) but, having a technical background is helpful.
- While there are no formal pre-requisites students will benefit from having a basic understanding of cloud computing services
- Recommended course - Compute Fundamentals
- Understand the purpose and benefits of Internet of Things (IoT)
- Learn the essentials of where to begin working with Internet of Things (IoT)
- Learn about the growing challenges of Internet of Things (IoT) along with the predicted growth and projections for the next few years.
This Course Includes:
60 minutes of high-definition video.
What You'll Learn:
- Course Intro: What to expect from this course.
- Use Cases: In this lesson, we discuss the variety of ways the Internet of Things is in use.
- Benefits and Challenges: In this lesson, we discuss the problems solved and created by IoT.
- Systems Architecture, Components, and Development: In this lesson, we’ll review hardware, tools, languages, platforms, and networking.
- IoT Demos: In this set of lessons, we dig deeper into the practical uses of IoT. Including, Autodesk Circuits, IoT on AWS, General Electric Predix, and Node Red.
- Course Conclusion: Summary of everything you’ve learned
Welcome to our demo on IBM Internet of Things. IBM has been a leader in the community by pushing the envelope with different solutions they've developed for the internet of things. They've provided a robust set of tools for developers to develop new solutions for industries all across the board. They've built their platform off the IBM Bluemix Cloud solutions and developed an AI called Watson, which is considered to be one of the best around. They're also offering a trial offer of around 30 days that you can work with their resources and even work with their cloud solution.
In this demo we're gonna work through a really quick simple mobile application that displays the orientation of your phone through graphs on the screen. And, again this is a really simple solution but once again, displays the ability to pick up sensor information and then work with that information. That's kind of a theme through all of our demos. Being a beginner at level course, we really wanna instill the sensitive process that's involved.
So, let's begin by clicking on play with a sample app. Scroll down. We're gonna select smartphone for our tutorial. We give our device a name. And accept the IBM terms and conditions. So, all that's gonna do is ask us to open a link on our phones so It can connect to our phone so it can pick up the sensor information. And, I'm gonna do this by actually using my QR reader that's already installed on my phone. And once that occurs, the information will be transferred up to IBM. So, now I'm opening up my phone. So now, my phone will begin interacting as you can see on the screen. That's actually picking up the information on my phone and displaying it through this diagram.
And let me start moving really quickly. You can see in the graphs here, we're picking up a lot of different movement from our phone. So, the phone's sensor from orientation is sending all those bits of information out to the cloud. And we actually can look at that information a little further by going to the dashboard here. So, here's our dashboard. And here's all the information it's actually collecting from our phone. So you get to see the back end of the data that's streaming up there. Again this reiterates the whole process of collecting information off the phone and then pushing out to a server and cloud solution. Again, this is a really simple concept, but it's really driving home the whole data flow of things how it's all working. Well, that wraps up our demo on IBM Internet of Things. I'll see you at the next lesson.
Richard Augenti is a DevOps Engineer with 23 years of IT professional experience and 7 years of cloud experience with AWS and Azure. He has been engaged with varying sized projects with clients all across the globe including most sectors. He enjoys finding the best and most efficient way to make things work so, working with automation, cloud technologies, and DevOps has been the perfect fit. When Richard is not engaged with work, he can also be found presenting workshops and talks at user conferences on cloud technologies and other techie talks.