Ready to take your first steps in IoT device development? Bring your basic programming skills, and get started with this practical exploration of what IoT means and how to use Microsoft Azure technologies in IoT solutions. See how IoT is being implemented by businesses around the world, and configure and implement your own end-to-end IoT solution using the Azure IoT Hub.
With help from the experts, learn the fundamentals of key platform features. Start out with device basics, like registration and tracking, and then implement cloud-to-device and device-to-cloud messaging. Take a look at Azure analytics, including Azure Stream Analytics, to perform real-time monitoring of incoming data and to generate alerts. Then, store sensor data in the cloud using DocumentDB, implement basic Power BI features, and add remote management and update capabilities to your device. In this self-paced course, explore different starter kits and work through a practical project with the Raspberry Pi kit. Using a combination of written and video-based instructional materials, along with a comprehensive series of hands-on lab activities, get an up-close look at real-world IoT skills that you can start using right away.
Week 1: IoT and the Azure IoT Hub
In this module, students will get an introduction IoT basics, and to Microsoft’s support for IoT (hardware and software). Students will also learn about some of the ways that IoT is being implemented by large and small businesses around the world, and will examine the basic architecture of an IoT solution. In the labs, students will learn how to configure and implement their own IoT solutions using the Azure IoT Hub. After completing this module, students will be able to:
• Create an IoT Hub service
• Use their IoT Hub to register and track the devices
• Configure messaging to relay data to and from Azure.
Week 2: Data Analysis
In this module, students will learn about Azure analytics services. Being able to run analytics on data in real time and generate alerts is a key component of most IoT solutions. Azure Stream Analytics makes this process straightforward and easy. During this module, students will learn how to implement Azure Stream Analytics and will compare its functionality with other Azure services, such as Event Hub and Azure Functions. After completing this module, students will be able to:
• Establish the connection between stream analytics and the IoT Hub
• Initiate live monitoring of incoming data
• Configure data threshold values for alerts.
Week 3: Data Storage and Visualization
In this module, students will learn about the many storage options that are available on Azure. The primary focus will be directed to the low-cost cold storage options and in particular, how to store data to DocumentDB. Students will also be introduced to backend analysis and presentation using Power BI. After completing this module, students will be able to:
• Persist their data to a DocumentDB database
• Query their data
• Implement basic Power BI features
Week 4: Device Management
In this module, students will learn about the importance of device management (remote updates and how to complete remote diagnostics). Being able to remotely update a device, or reset it when it’s in a faulting state, is an important part of maintaining an IoT solution, and in this module students will get some important tips on how to diagnose and fix a device by remotely executing commands. After completing this module, students will be able to:
• Remotely diagnose and update their devices
Geoffrey Morgan and Chris Howd