AZ-220: Microsoft Azure IoT Developer

Microsoft Azure IoT Developer (AZ-220) instructor-led course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. this 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, and Azure IoT Central.  
 

Microsoft Courseware

 

Instructor-Led Training

 

Course Duration: 4-Days (32-Hour)

 

Microsoft Official Lab Exercises

 

Courseware Life Time Free Upgrade

 

Cloud Lab Access

Overview

An Azure IoT Developer is responsible for implementing and then maintaining the cloud and edge portions of an Azure 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 aPaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.


Prerequisites

  • Software Development Experience: Software development experience is a prerequisite for this course, but no specific software language is required, and the experience does not need to be at a professional level.
  • Data Processing Experience: General understanding of data storage and data processing is a recommended but not required.
  • Cloud Solution Awareness: Students should have a basic understanding of PaaS, SaaS, and IaaS implementations. Microsoft Azure Fundamentals (AZ-900), or equivalent skills, is recommended.
  • Modules

    Module 1: Introduction to IoT and Azure IoT Services

    • Introduction to IoT Solution Architecture
    • IoT Hardware and Cloud Services
    • Lab Scenario

    Module 2: Devices and Device Communication

    • IoT Hub Concepts
    • IoT Devices Lifecycle Concepts
    • IoT Developer Tools
    • Device Configuration and Communication

    Module 3: Device Provisioning at Scale

    • Device Provisioning Service Terms and Concepts
    • Configure and Manage the Device Provisioning Service
    • Device Provisioning Task

    Module 4: Message Processing and Analytics

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

    Module 5: Insights and Business Integration

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

    Module 6: Azure IoT Edge Deployment Process

    • Introduction to Azure IoT Edge
    • Edge Deployment Process
    • Edge Gateway Devices

    Module 7: Azure IoT Modules and Containers

    • Develop Custom Edge Modules
    • Offline and Local Storage

    Module 8: Device Management

    • Introduction to IoT Device Management
    • Manage IoT and IoT Edge Devices
    • Device Management as Scale

    Module 9: Solution Testing, Diagnostics and Logging

    • Monitoring and Logging
    • Troubleshooting

    Module 10: Microsoft Defender for IoT and Security Considerations

    • Security Fundamentals for IoT Solutions
    • Introduction to Microsoft Defender for IoT
    • Enhance Protection with Microsoft Defender for IoT Agents

    Module 11: Develop with Azure Digital Twins

    • Introduction to Azure Digital Twins
    • Introduction to Microsoft Defender for IoT
    • Enhance Protection with Microsoft Defender for IoT Agents

    Module 12: Build an IoT Solution with Azure IoT Central

    • Introduction to IoT Central
    • Create and Manage Device Templates
    • Manage Device in Azure IoT Central
    • Business Integration and Data Analysis

    Fees And Schedule

    Instructor-Led Training

    32-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

    Learning Objectives

    Expected Learning:

    • Create, configure, and manage an Azure IoT hub.
    • Provision devices by using IoT Hub and DPS, including provisioning at scale.
    • Establish secure 2-way communication between devices and IoT Hub.
    • Implement message processing by using IoT Hub routing and Azure Stream Analytics.
    • Configure the connection to Time Series Insights and support business integration requirements.
    • Implement IoT Edge scenarios using marketplace modules and various edge gateway patterns.
    • Implement IoT Edge scenarios that require developing and deploying custom modules and containers.
    • Implement device management using device twins and direct methods.
    • Implement solution monitoring, logging, and diagnostics testing.
    • Recognize and address security concerns and implement Microsoft Defender for IoT.
    • Extend an existing IoT solution by by using Azure Digital Twins.
    • Build an IoT Solution by using Azure IoT Central and recognize aPaaS opportunities for IoT.

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