Course 8569
This course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security concerns, Azure Digital Twins, and Azure IoT Central.
To be successful in this course, learners should have the following:
The Azure IoT Developer is responsible for the implementation and the coding required to create and maintain the cloud and the edge portion of an IoT solution. In addition to configuring and maintaining devices by using Azure IoT services and other Microsoft tools, the IoT Developer also sets up the physical devices and is responsible for maintaining the devices throughout the life cycle. 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 device networking, which could include various edge gateway implementations. The IoT Developer implements designs for solutions to manage data pipelines, including monitoring and data transformation as it relates to IoT. 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 analysis, data processing, and the Azure IoT PaaS versus SaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.
This course can help you prepare for the following Microsoft role-based certification exam — AZ-220: Microsoft Azure IoT Developer
In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and provides an introduction to the Azure portal.
Lessons
Lab Scenarios for this Course
Lab: Getting Started with Azure
Lab: Getting Started with Azure IoT Services
After completing this module, students will be able to:
In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.
Lessons
Lab: Connect IoT Device to Azure
Lab: Setup the Development Environment
After completing this module, students will be able to:
In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto-provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.
Lessons
Lab: Individual Enrollment of Devices in DPS
Lab: Automatic Enrollment of Devices in DPS
After completing this module, students will be able to:
In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.
Lessons
Lab: Filtering and Aggregating Message Data
Lab: Device Message Routing
After completing this module, students will be able to:
In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.
Lessons
Lab: Integrate IoT Hub with Event Grid
Lab: Explore and Analyze Time Stamped Data with Time Series Insights
After completing this module, students will be able to:
In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.
Lessons
Lab: Set Up an IoT Edge Gateway
Lab: Introduction to IoT Edge
After completing this module, students will be able to:
In this module, students will develop and deploy custom edge modules and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.
Lessons
Lab: Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
Lab: Run an IoT Edge Device in Restricted Network and Offline
After completing this module, students will be able to:
In this module, students will learn how to implement device management for their IoT solutions. Students will develop device management solutions that use devoice twins and solutions that use direct methods.
Lessons
Lab: Automatic Device Management
Lab: Remotely Monitor and Control Devices with Azure IoT Hub
After completing this module, students will be able to:
In this module, students will configure logging and diagnostic tools that help developers test their IoT solutions. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.
Lessons
Lab: Configure Metrics and Logs in Azure IoT Hub
Lab: Monitor and Debug Connection Failures
After completing this module, students will be able to:
Lab: Implementing Azure Security Center for IoT
After completing this module, students will be able to:
In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps toward implementing ADT. Students will begin by investigating the concepts behind the Azure Digital Twins service and an ADT solution, followed by an introduction to the development tools that can be used to build and monitor an ADT solution. Students will then use the development tools to create custom models, build and query an ADT environment graph, ingest IoT device telemetry, and implement business logic and data processing.
Lessons
Lab: Develop Azure Digital Twins (ADT) solutions
After completing this module, students will be able to:
In this module, students will learn how to configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central established, students will move on to creating and managing device templates and then managing devices in their IoT Central application.
Lessons
Lab: Build an IoT Solution with IoT Central
After completing this module, students will be able to:
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Yes, this course prepares you for Microsoft exam AZ-220 which is the requirement for the Microsoft Associate certification - Azure IoT Developer Specialty.
