This course provides students with the skills and knowledge necessary to successfully build and maintain the cloud and edge portions of an Azure IoT solution. The course includes comprehensive coverage of core Azure IoT services like IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to focusing on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security issues, Azure Digital Twins, and Azure IoT Central. Microsoft Azure IoT Developer AZ-220

In addition to focusing on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security issues, Azure Digital Twins, and Azure IoT Central. In addition to configuring and maintaining devices using Azure IoT services and other Microsoft tools, the IoT Developer also configures the physical devices and is responsible for maintaining the devices throughout their lifecycle. The IoT developer implements designs for IoT solutions, including device topology, connectivity, debugging, and security. For edge device scenarios, the IoT developer also deploys compute/containers and configures the device network, which could include multiple edge gateway deployments. The IoT developer implements designs for solutions to manage data pipelines, including IoT-related data transformation and monitoring. The IoT developer works with data engineers and other stakeholders to ensure successful business integration. IoT developers should have a good understanding of Azure services, including data storage options, data analytics, data processing, and Azure IoT PaaS versus SaaS options. IoT developers must have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java. Microsoft Certified: Azure DevOps Engineer Expert

To be successful in this course, students must have the following:

Knowledge of cloud solutions: Students should have experience using the Azure portal and a basic understanding of PaaS, SaaS, and IaaS implementations.

Software Development Experience: This is a prerequisite for this course, but a specific software language or professional-level experience is not required.

Data Processing Experience: A general knowledge of data storage and processing is recommended but not required.