I've been working on some community content for Microsoft about Azure IoT Suite with Colin Melia and I'm happy to announce that it has now been released in the Microsoft/TechnicalCommunityContent repo on GitHub. The Technical Community Content goal is to provide a set of ready made technical presentations for the community to use.
I worked on the Azure IoT Suite content, building 11 demos and 1 hands-on-lab for 3 sessions. If you're looking at presenting Azure IoT Suite or just an introduction to the Internet of Things, look no further. Note that at the time I published this blog post, some PowerPoints and videos are still being completed and they should be released real soon by Microsoft.
Session 1 - Exploring IoT Solutions
This session introduces the attendees to the Internet of Things concepts.
The goal is to demonstrate an IoT solution in action (that uses Azure IoT Hub, Stream Analytics & PowerBI) and that even smartphones can be IoT devices. You’ll have the audience point their smartphone browsers to a Web page, have them send telemetry to the cloud and WOW them with live data being displayed in charts.
The demo goal is to drill into the kind of features provided by a typical IoT monitoring system. To do this, you’ll use the Azure IoT Suite’s Remote Monitoring solution using simulated devices. You’ll show a Web application displaying devices status and telemetry. You’ll show how an administrator can add a new device, send commands to a device and monitor alerts.
The demo goal is to demonstrate that besides temperature and humidity values, IoT devices can send data that can be analyzed by APIs like the Microsoft Cognitive Services APIs. You’ll have the audience point their smartphone browsers to a Web page, have them enter a sentence, send it to the cloud to be analyzed by a text analysis API and WOW them with live data being displayed in graphs.
Session 2 - Starting IoT Solutions
In this session, things gets more technical and you'll demo code working on Linux, Windows and Raspbian on a Raspberry Pi 3.
The demo goal is to show the Azure IoT Suite's Remote Monitoring solution and some of the components that are used to build it.
The demo goal is to show how a Linux device can connect to the same backend solution and send messages.
The demo goal is to show how to send message to the backend from a device running C#/.NET and receive commands sent from the solution portal on the device.
The demo goal is to show how a physical device (Raspberry Pi 3) can connect to the same backend and send messages.
The demo goal is to show how you can set a rule which will fire an alert in the solution when data from a device meets a specific criterion.
Session 3 - Building Practical IoT Solutions
In this session, the attendees will get hands-on by building an IoT solution.
The purpose of this demo is to show the parts of a large IoT Solution and introduce the Azure IoT Suite's Predictive Analytics solution.
The purpose of this demo is to show how an available IoT suite solution can be customized and gain a deeper understanding of the Remote Monitoring solution.
The purpose of this demo is to show how an additional cloud component (the Azure App Service's Logic App service in this case) can be added to enhance an IoT solution.
The goal of this lab is to build a complete IoT solution using Azure IoT Hub, Stream Analytics & PowerBI. There’s no need to have a physical device like a Raspberry Pi since you’ll simulate a device by running the device code in a Web app.
Finally, I want to thank Colin. It was very pleasant to work on this project with you my friend :-)