AZ-220: Microsoft Azure IoT Developer

This module covers continuous data export from IoT Central. You use the scenario from your previously completed “Create your first Azure IoT Central app” Learn module, where you controlled a refrigerated truck. Here, in this module, you add continuous data export to both Azure Blob storage and an event hub. You then build a Power BI app to read and display the telemetry data on a mobile phone.

The IoT Central REST API lets you manage applications programmatically. For example, you can add device templates, create devices, set device properties, send commands to devices, and manage data exports.

This module builds an IoT Central app to monitor and command a refrigerated truck. The first unit creates the app, the second unit defines a device template for a refrigerated truck. Then, create a programming project, add code to simulate a truck, and communicate with your IoT Central app. The truck is monitored through a custom dashboard.

This module builds an IoT Central app to monitor and command a refrigerated truck. The first unit creates the app, the second unit defines a device template for a refrigerated truck. Then, create a programming project, add code to simulate a truck, and communicate with your IoT Central app. The truck is monitored through a custom dashboard.

The focus of this module is on creating a Device Provisioning Service (DPS) to securely handle multiple remote devices. First, you create an IoT Hub, and add the DPS service. Next, an X.509 root certificate, and multiple leaf certificates, are created to handle security. Code for a simulated device is provided. You then link all the pieces together, and verify that your DPS resource works. After completing the module, you should have a good understanding of how to provision Azure IoT devices at scale.

Automate IoT devices management with Azure IoT Hub

Learn about metrics, alerts, diagnostics, and logs. Create an Azure IoT Hub, an app to send vibration telemetry, and then create and test some metrics and alerts.

Learn about Azure IoT Hub message routing, and Stream Analytics anomaly detection. Start by creating an app that simulates issues with conveyor belt vibration. Then, use the Azure portal to route all the data for archiving in blob storage. Finish by routing the vibration data to anomaly detection, using a built-in ML model.

With IoT adoption on the rise, learn what tools Microsoft offers Operations to help deploy, manage and secure said plethora of devices.

Create an IoT Hub device app, and a back-end service app. As a scenario, we use the monitoring, and controlling, of the temperature and humidity of a cheese cave.

This module is theoretical and will walk you through how an IoT Edge device can be used as a gateway.

Explain the essential characteristics of the IoT Edge and the functionality of the IoT Edge components (modules, runtime, and cloud interface). Characterize the types of problems that you can solve with IoT Edge. Describe how the elements of IoT Edge can be combined to solve the problem of deploying IoT applications in the cloud.

Deploy a pre-built temperature simulator module to the edge using a container. The pre-built module will be deployed to an IoT edge device. You will check that the module was successfully created and deployed to the edge. You will view the simulated data from the deployed module.

Digital transformation is a business innovation fueled by the explosion of the cloud, artificial intelligence (AI), and the internet of things (IoT). and allows organizations with new ways to understand and transform their business.

This module provides an overview of Azure IoT and demonstrates Microsoft tools, services, and infrastructure that can help bring IoT to life for your organization and customers.

An overview of the concepts and resources behind storage technologies used in IoT applications on Azure. After completing the module, you can determine when to use Blob storage, Data Lake storage, CosmosBD, and Time Series Insights.

Azure Time Series Insights allows you to collect, process, store, analyze, and query data at Internet Of Things (IoT) scale. Learn how to deploy this service and use it to gain insights from data generated by IoT devices.

With IoT adoption on the rise, learn what tools Microsoft offers Operations to help deploy, manage and secure said plethora of devices.

This module builds an IoT Central app to monitor and command a refrigerated truck. The first unit creates the app, the second unit defines a device template for a refrigerated truck. Then, create a programming project, add code to simulate a truck, and communicate with your IoT Central app. The truck is monitored through a custom dashboard.

Assess the characteristics of Azure IoT Hub and determine scenarios when to use IoT Hub.

Explain the essential characteristics of the IoT Edge and the functionality of the IoT Edge components (modules, runtime, and cloud interface). Characterize the types of problems that you can solve with IoT Edge. Describe how the elements of IoT Edge can be combined to solve the problem of deploying IoT applications in the cloud.