AZ-220: Microsoft Azure IoT Developer
AZ-220: Microsoft Azure IoT Developer AZ-220: Microsoft Azure IoT Developer

Course description

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.

 

 

Audience profile

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.

 

Items in this collection

  • Examination of the architecture of an IoT solution (6 Units)
  • Examination of the components of an IoT solution (7 Units)
  • Explore the Azure portal (5 Units)
  • Explore Azure IoT services (7 Units)
  • IoT Hub Properties Exam (6 Units)
  • Analysis of the concepts of the life cycle of IoT devices (9 Units)
  • Analysis of IoT development tools (11 Units)
  • Exploration of device configuration and communication (8 Units)
  • Device Provisioning Service Terms and Concepts Exam (14 Units)
  • Device Provisioning Service Access and Encryption Tools Exam (6 Units) 
  • Analysis of device provisioning life cycle tasks (9 Units)
  • Individual Enrollment Task Exploration (4 Units) 
  • Exploration of group enrollment tasks (4 Units)
  • IoT Hub Message Routing Quiz (9 Units)
  • Consideration of message processing options and constraints (6 Units)
  • Introduction to cloud storage for IoT (9 Units)
  • Azure Stream Analytics and Azure Functions exam (15 Units)
  • Exploration of message processing tasks (4 Units)
  • Business Integration for IoT Solutions Exam (10 Units)
  • Azure Time Series Insights Analysis (7 Units)
  • Analysis of data visualizations with Power BI (6 Units)
  • Event Grid Integration Exploration (4 Units)
  • Exploring Time Series Insights Integration (4 Units)
  • Analysis of the Azure IoT Edge environment (9 Units)
  • IoT Edge Device Deployment Exam (6 Units)
  • Iot Edge Gateway Device Configuration Analysis (6 Units)
  • IoT Edge Module Implementation Exploration (4 Units)
  • IoT Edge Gateway Configuration Tour (4 Units)
  • IoT Edge Module Development Exam (9 Units)
  • Exam of local and offline storage functionalities (6 Units)
  • Exploration of custom module development for IoT Edge (4 Units)
  • Offline IoT Edge Exploration (4 Units)
  • Device management concepts and methods exam (8 Units)
  • Analysis of device management tools (6 Units)
  • Analysis of approaches for large-scale device management (7 Units)
  • Exploring device management with device twins and direct methods (4 Units)
  • Automatic Device Scan in IoT Hub (4 Units)
  • Azure IoT Solutions Monitoring and Registration Exam (8 Units)
  • Troubleshooting communication and device connections (5 Units)
  • Explore IoT Hub Monitoring (4 Units)
  • IoT Security Principles Exam (7 Units)
  • Microsoft Defender for Cloud and Microsoft Defender for IoT exam (9 Units)
  • Microsoft Defender for IoT Security Agents Exam (8 Units)
  • Microsoft Defender for IoT Deployment Exploration (4 Units) 
  • Exam of the components of an Azure Digital Twins solution (8 Units)
  • Exam of Azure Digital Twins solution development tools and processes (15 Units)
  • ADT Monitoring and Troubleshooting (8 Units)
  • Azure Digital Twins Deployment Exploration (4 Units)
  • Introduction to IoT Central (7 Units)
  • Creation and management of device templates (9 Units)
  • Device administration in Azure IoT Central (6 Units)
  • Enterprise Integration Configuration (7 Units)

 

Previous requirements

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. 

 

Course outline

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.

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

Module 6: Azure IoT Edge implementation process

In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to set up and use an IoT Edge device as a gateway device.

lessons

  • Introduction to Azure IoT Edge

  • Edge Deployment Process

  • Edge gateway devices

Lab : Deploying an IoT Edge Gateway

Lab : Introduction to IoT Edge Deployments

After completing this module, students will be able to:

  • Describe the difference between an IoT device and an IoT Edge device

  • Set up an IoT Edge device

  • Perform an IoT Edge deployment using a deployment manifest

  • Configure an IoT Edge device as a gateway device

Module 7 - Azure IoT Edge Containers and Modules

In this module, students will develop and implement custom edge modules and 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 compatible container engine.

lessons

  • Developing custom edge modules

  • Offline and local storage

Laboratory: Creation and implementation of a customized perimeter module

Lab : Deploying IoT Edge Offline and Constrained Network Scenarios

After completing this module, students will be able to:

  • Explain the requirements for creating a custom Edge module

  • Configure Visual Studio Code to develop containerized modules

  • Deploy a custom module to an IoT Edge device

  • Deploy local storage on an IoT Edge device to accommodate an offline scenario

Module 8: Device Management

In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use device twins and solutions that use direct methods.

lessons

  • Introduction to IoT device management

  • LoT and IoT Edge device management

  • Large-scale device management

Lab : Implementing automatic device management

Lab : Device Management Using Device Twins and Direct Methods

After completing this module, students will be able to:

  • Describe the most common device management patterns and configuration best practices

  • Describe when and how to use device twins and direct methods to implement device management

  • Implement device management for various patterns using device twins and direct methods

  • Implement large-scale device management using automatic device and job management

Module 9: Testing, Diagnostics, and Solution Registration

In this module, students will set up logging and diagnostic tools that help developers test their IoT solution. Students will use IoT Hub and Azure Monitor to set up alerts and track conditions, such as device connection status, that can be used for troubleshooting.

lessons

  • Monitoring and registration

  • Problem solving

Lab : Configuring IoT Hub monitoring

After completing this module, students will be able to:

  • Describe options for monitoring and logging an Azure IoT solution

  • Configure Azure Monitor to support an IoT solution

  • Configure IoT Hub metrics to support an IoT solution

  • Implement diagnostic logs

  • Troubleshoot IoT device connection and communication issues

Module 10: Microsoft Defender for IoT and IoT Security Considerations

In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Microsoft Defender for IoT supports device deployment and IoT Hub integration. Students then use Microsoft Defender for IoT Agents to enhance the security of their solution.

lessons

  • Security principles for IoT solutions

  • Get started with Microsoft Defender for IoT

  • Improving protection with Microsoft Defender for IoT agents

Lab : Deploying Microsoft Defender for IoT

After completing this module, students will be able to:

  • Describe security issues and best practices for an IoT solution

  • Describe the Azure IoT security architecture and threat modeling

  • Describe the features and support provided by Microsoft Defender for IoT

  • Configuring security agents and security twins

  • Aggregate Microsoft Defender for IoT events

Module 11: Developing with Azure Digital Twins

In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps towards implementing Azure Digital Twins. Students will begin by investigating the concepts underlying the Azure Digital Twins service and a Digital Twins solution, followed by an introduction to the development tools that can be used to build and monitor an Azure Digital Twins solution. Students will then use development tools to create custom models, build and query an Azure Digital Twins environment graph, ingest telemetry from IoT devices, and implement business logic and data processing.

lessons

  • Introduction to Azure Digital Twins

  • Introduction to ADT Solution Development

  • ADT Monitoring and Troubleshooting

Lab : Developing Azure Digital Twins solutions

After completing this module, students will be able to:

  • Describe the components of an Azure Digital Twins solution

  • Explain how to create and configure an Azure Digital Twins instance

  • Explain how to create, query, and manage the Azure Digital Twins graph

  • Explain how to ingest Azure Digital Twins data from the IoT hub and implement support for downstream services

  • Describe how to monitor and troubleshoot Azure Digital Twins

Module 12: Building an IoT solution with IoT Central

In this module, students will learn how to configure and deploy Azure IoT Central as a SaaS solution for IoT. Students will start with a high level investigation of IoT Central and how it works. With a basic understanding of setting up IoT Central, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

lessons

  • Introduction to IoT Central

  • Create and manage device templates

  • Device management in Azure IoT Central

  • Business integration and data analysis

After completing this module, students will be able to:

  • Describe the difference between Azure IoT Central and Azure IoT PaaS services

  • Describe the features provided by Azure IoT Central

  • Describe the purpose and components of device templates

  • Create and publish device templates

  • Manage devices using rules and notifications

  • Manage devices at scale using jobs

 

Language

  • English course

  • Labs: English

€695.00