Microsoft Azure IoT Developer AZ-220
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.
Module 1: Introduction to IoT and Azure IoT services
In this module, students will begin by examining the business considerations for various IoT implementations and by reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of Azure services commonly used in an IoT solution and provides an introduction to the Azure portal. Designing and Implementing a Data Science Solution on Azure course DP-100
lessons
Introduction to the architecture of IoT solutions
Hardware para IoT y Cloud Services
Lab scenarios for this course
Lab : Introduction to Azure
Lab : Introduction to Azure IoT services
After completing this module, students will be able to:
Explain how IoT and Azure IoT could be applied to your business
Describe the main components of an Azure IoT solution architecture
Describe Azure IoT services and how they relate to an IoT solution
Create an Azure account and use the Azure portal to create an IoT Hub and DPS service
Module 2: Devices and device communication
In this module, students will take a closer look at the Azure IoT Hub service and learn how to set up secure two-way communication between the IoT Hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints, which will be explored in more depth as the course continues.
lessons
IoT Hub concepts
IoT Device Life Cycle Concepts
Development tools for IoT
Device configuration and communication
Lab : Connect IoT devices to Azure
Lab : Setting up the development environment
After completing this module, students will be able to:
Explain the main features of IoT Hub services
Describe the lifecycle of an Azure IoT device
Describe how IoT Hub manages device identities and implements other security features
Register devices with IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
Deploy the IoT Hub service and device SDKs
Module 3: Large-Scale Device Provisioning
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, automatic provisioning and reprovisioning, de-enrollment, and how to implement various certification mechanisms.
lessons
Device provisioning service terms and concepts
Device provisioning service configuration and management
Device provisioning tasks
Lab : Individual Device Enrollment in DPS
Lab : Automatic Device Enrollment in DPS
After completing this module, students will be able to:
Explain the device provisioning process and the features of the device provisioning service
Explain security considerations associated with device provisioning and how they are managed
Deploy Device Provisioning Service SDKs
Manage the device enrollment process, including de-provisioning and de-enrollment
Module 4: Message processing and analysis
In this module, students will examine how the 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 complete their module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.
lessons
Messages and message processing
Additional considerations for IoT Hub messages
Data storage and lambda architecture
Azure Functions y Stream Analytics
Lab : Routing device messages
After completing this module, students will be able to:
Configure message and event routing
Route data to built-in and custom endpoints
Implement message enrichment
Implement Azure Stream Analytics inputs, queries, and outputs
Buffer message data for historical purposes and further analysis
Use an Azure function within a message processing and parsing solution
Module 5: Information and Business Integration
In this module, students will learn about 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 set up data connection and transformations for data visualization tools like Time Series Insights and Power BI.
lessons
Enterprise integration for IoT solutions
Data visualization with Time Series Insights
Data visualization with Power BI
Lab : Integrating IoT Hub with Event Grid
Lab : Exploring and Analyzing Time-Stamped Data with Time Series Insights
After completing this module, students will be able to:
Explain the options for business integration within an IoT solution and how to achieve them
Build support for enterprise integration using Logic Apps and Event Grid
Configure IoT data for visualization in Time Series Insights
Describe data visualization with Power BI
