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AZ-220T00: Microsoft Azure IoT Developer Training

4.9
(4.9)

This technical course contains an in-depth explanation of core Azure IoT services, including Device Provisioning Services, IoT Hub, Time Series Insights, Azure Stream Analytics, and many more.

  • Accredited By : Microsoft Partner Logo
  • Category : Azure

Course Price : $2295 Per Participant

Course Description

Note: This course is retired on July 31, 2023.

AZ-220T00: Microsoft Azure IoT Developer Training is developed to help professionals gain the knowledge and skills required to successfully build and manage the cloud and edge portions of Azure IoT solutions. This technical course contains an in-depth explanation of core Azure IoT services, including Device Provisioning Services, IoT Hub, Time Series Insights, Azure Stream Analytics, and many more.

This training program is ideal for IoT developers who implement and maintain the cloud of an Azure IoT solution and IoT developers who operate with other stakeholders to make sure that business integration is successful. By the end of the course, trainees will know how to identify and address security concerns and implement device management with the help of direct methods and device twins.

This training is designed based on the objectives of the course variant AZ-220T00-A.

Microsoft Course Microsoft Course
500+

Courses

experience experience
20+

Years of Experience

learners learners
95K+

Global Learners

What you will learn

  • green-tick Creating, configuring, and managing an Azure IoT hub.
  • green-tick Supporting business integration requirements and configuring the connection to Time Series Insights.
  • green-tick Establishing a secure two-way communication between IoT hub and devices.
  • green-tick Provisioning devices by using DPS and IoT Hub, including provisioning at scale.
  • green-tick Implementing IoT Edge scenarios that need development and deployment of custom modules and containers.
  • green-tick Implementing IoT Edge scenarios using a wide variety of edge gateway patterns and marketplace modules.
  • green-tick Implementing message processing by using Azure Stream Analytics and IoT Hub routing.
  • green-tick Implementing solution logging, monitoring, and diagnostics testing.
  • green-tick Implementing device management using direct methods and device twins.
  • green-tick Recognizing SaaS opportunities for IoT and building an IoT Solution by using Azure IoT Central.
  • green-tick Recognizing and addressing security concerns and implementing Azure Security Center for IoT.

Who should attend this course?

The Microsoft Azure IoT developer training is ideal for Azure IoT developers who are responsible to implement and maintain cloud and edge portions of an Azure IoT solution.

With the training, Microtek Learning is aiming to help developers to learn various tools and devices that are needed to set up the physical devices and be responsible for maintaining them throughout their life cycle.

Developers can gain knowledge about device connectivity, security, topology, and debugging. Having basic programming skills in an Azure-supported language such as Python, Java, C#, C, or Node.js will help learners ace their training.

Microsoft Learning Partner

Microtek Learning is a Microsoft Certified Partner for Learning Solutions. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Schedules

Oops! For this course, there are currently no public schedules available. Clicking on "Notify Me" will allow you to express your interest.

For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.

Curriculum

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.

Lesson

  • Introduction to IoT Solution Architecture
  • IoT Hardware and Cloud Services
  • Lab Scenarios for this Course
  • Lab: Getting Started with Azure

    Lab: Setting Started with Azure IoT Services

    After completing this module, students will be able to:

  • Explain how IoT and Azure IoT could be applied to their business
  • Describe the core components of an Azure IoT Solution Architecture
  • Describe the 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
  • 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.

    Lesson

  • IoT Hub Concepts
  • IoT Device Lifecycle Concepts
  • IoT Developer Tools
  • Device Configuration and Communication
  • Lab: Setup the Development Environment

    Lab: Connect IoT Device to Azure

    After completing this module, students will be able to:

  • Explain the core features of the 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 the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
  • Implement the IoT Hub Device and Service SDKs
  • 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.

    Lesson

  • Device Provisioning Service Terms and Concepts
  • Configure and Manage the Device Provisioning Service
  • Device Provisioning Tasks
  • Lab: Individual Enrollment of Devices in DPS

    Lab: Automatic Enrollment of Devices in DPS

    After completing this module, students will be able to:

  • Explain the process of device provisioning and the features of the Device Provisioning Service
  • Explain the security considerations associated with device provisioning and how they are managed
  • Implement the Device Provisioning Service SDKs
  • Manage the device enrollment process, including deprovisioning and disenrollment
  • 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.

    Lesson

  • Messages and Message Processing
  • Additional Considerations for IoT Hub Messaging
  • Data Storage and the Lambda Architecture
  • Azure Functions and Stream Analytics
  • Lab: Device Message Routing

    After completing this module, students will be able to:

  • Configure message and event routing
  • Route data to the built-in and custom endpoints
  • Implement message enrichment
  • Implement Azure Stream Analytics Inputs, Queries, and Outputs
  • Store message data in a warm storage for historical purposes and additional analysis
  • Use an Azure Function within a message processing and analytics solution
  • 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.

    Lesson

  • Business Integration for IoT Solutions
  • Data Visualization with Time Series Insights
  • Data Visualization with Power BI
  • 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:

  • Explain the options for business integration within an IoT solution and how to achieve them
  • Develop business integration support using Logic Apps and Event Grid
  • Configure IoT Data for Visualization in Time Series Insights
  • Describe Data Visualization with Power BI
  • 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.

    Lesson

  • Introduction to Azure IoT Edge
  • Edge Deployment Process
  • Edge Gateway Devices
  • Lab: Introduction to IoT Edge Deployments

    Lab: Implement an IoT Edge gateway

    After completing this module, students will be able to:

  • Describe the difference between an IoT device and an IoT Edge device
  • Configure an IoT Edge device
  • Implement an IoT Edge deployment using a deployment manifest
  • Configure an IoT Edge device as a gateway device
  • 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.

    Lesson

  • Develop Custom Edge Modules
  • Offline and Local Storage
  • Lab: Create and Deploy a Custom Edge Module

    Lab: Implement Restricted Network and Offline Scenarios for IoT Edge

    After completing this module, students will be able to:

  • Explain the requirements for building a custom edge module
  • Configure Visual Studio Code for developing containerized modules
  • Deploy a custom module to an IoT Edge device
  • Implement local storage on an IoT Edge device in support of an offline scenario
  • In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.

    Lesson

  • Introduction to IoT Device Management
  • Manage IoT and IoT Edge Devices
  • Device Management at Scale
  • Lab: Manage Devices using Device Twins and Direct Methods

    Lab: Implement Automatic Device Management

    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 device management at scale using automatic device management and jobs
  • In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. 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.

    Lesson

  • Monitoring and Logging
  • Troubleshooting
  • Lab: Configure IoT Hub Monitoring

    After completing this module, students will be able to:

  • Describe the options for monitoring and logging an Azure IoT solution
  • Configure Azure Monitor to support of an IoT solution
  • Configure IoT Hub Metrics to support of an IoT solution
  • Implement diagnostics logging
  • Troubleshoot IoT device connection and communication issues
  • 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 Azure Security Center for IoT supports device deployment and IoT Hub integration. Students then use Azure Security Center for IoT Agents to enhance the security of their solution.

    Lesson

  • Security Fundamentals for IoT Solutions
  • Introduction to Azure Defender for IoT
  • Enhance Protection with Azure Defender for IoT Agents
  • Lab: Implementing Azure Defender for IoT

    After completing this module, students will be able to:

  • Describe security concerns and best practices for an IoT solution
  • Describe the Azure IoT Security Architecture and Threat Modeling
  • Describe the features and support provided by Azure Defender for IoT
  • Configure Security Agents and Security Module Twins
  • Aggregate Azure Defender for IoT Events
  • 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.

    Lesson

  • Introduction to Azure Digital Twins
  • Introduction to ADT solution development
  • Monitor and troubleshoot ADT
  • Lab: Develop Azure Digital Twins solutions

    After completing this module, students will be able to:

  • Describe the components of an Azure Digital Twins (ADT) solution
  • Explain how to create and configure an ADT instance
  • Explain how to create, query, and manage the ADT graph
  • Explain how to ingest ADT data from IoT hub and implement support for downstream services
  • Describe how to monitor and troubleshoot ADT
  • In this module, students will learn how 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 establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

    Lesson

  • Introduction to IoT Central
  • Create and Manage Device Templates
  • Manage Devices 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 the Azure IoT PaaS services
  • Describe the features provided by Azure IoT Central
  • Describe the purpose and components of a Device Template
  • Create and publish a Device Template
  • Manage devices using rules and notifications
  • Mange devices at scale using jobs
  • What Exam Do I Need To Get Certified?

    • Exam AZ-220

    Course Details

    • cert cert-green
      Certification: YES
    • skill skill-green
      Skill Level: Intermediate
    • enroll enroll-green
      Enrolled: 1763
    • duration duration green
      Duration: 4 Days

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