Course Name

Microsoft Azure IoT Developer

Course Introduction

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.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

The Azure IoT Developer is responsible for the implementation and the coding required to create and maintain the cloud and 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.

Course Prerequisites

To be successful in this course, learners should have the following:

  • Cloud Solution Awareness: Students should have experience using the Azure Portal and a basic understanding of PaaS, SaaS, and IaaS implementations.
  • 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.

Course Content

  • Module 1: Introduction to IoT and Azure IoT Services
    • Business Opportunities for IoT
    • Introduction to IoT Solution Architecture
    • IoT Hardware and Cloud Services
    • Lab Scenarios for this Course
    • Lab:
      • Getting Started with Azure
      • Setting Started with Azure IoT Services
  • Module 2: Devices and Device Communication
    • IoT Hub and Devices
    • IoT Developer Tools
    • Device Configuration and Communication
    • Lab:
      • Setup the Development Environment
      • Connect IoT Device to Azure
  • Module 3: Device Provisioning at Scale
    • Device Provisioning Service Terms and Concepts
    • Configure and Manage the Device Provisioning Service
    • Device Provisioning Tasks
    • Lab:
      • Individual Enrollment of Devices in DPS
      • Automatic Enrollment of Devices in DPS
  • Module 4: Message Processing and Analytics
    • Messages and Message Processing
    • Data Storage Options
    • Azure Stream Analytics
    • Lab:
      • Device Message Routing
      • Filtering and Aggregating Message Data
  • Module 5: Insights and Business Integration
    • Business Integration for IoT Solutions
    • Data Visualization with Time Series Insights
    • Data Visualization with Power BI
    • Lab:
      • Integrate IoT Hub with Event Grid
      • Explore and Analyze Time Stamped Data with Time Series Insights
  • Module 6: Azure IoT Edge Deployment Process
    • Introduction to Azure IoT Edge
    • Edge Deployment Process
    • Edge Gateway Devices
    • Lab:
      • Introduction to IoT Edge
      • Set Up an IoT Edge Gateway
  • Module 7: Azure IoT Edge Modules and Containers
    • Develop Custom Edge Modules
    • Offline and Local Storage
    • Lab:
      • Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
      • Run an IoT Edge Device in Restricted Network and Offline
  • Module 8: Device Management
    • Introduction to IoT Device Management
    • Manage IoT and IoT Edge Devices
    • Device Management at Scale
    • Lab:
      • Remotely Monitor and Control Devices with Azure IoT Hub
      • Automatic Device Management
  • Module 9: Solution Testing, Diagnostics, and Logging
    • Monitoring and Logging
    • Troubleshooting
    • Lab:
      • Configure Metrics and Logs in Azure IoT Hub
      • Monitor and Debug Connection Failures
  • Module 10: Azure Security Center and IoT Security Considerations
    • Security Fundamentals for IoT Solutions
    • Introduction to Azure Security Center for IoT
    • Enhance Protection with Azure Security Center for IoT Agents
    • Lab:
      • Implementing Azure Security Center for IoT
  • Module 11: Build an IoT Solution with IoT Central
    • Introduction to IoT Central
    • Create and Manage Device Templates
    • Manage Devices in Azure IoT Central
    • Lab:
      • Get Started with Azure IoT Central
      • Implementing IoT Solutions with Azure IoT Central
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Course Introduction

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.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

The Azure IoT Developer is responsible for the implementation and the coding required to create and maintain the cloud and 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.

Course Prerequisites

To be successful in this course, learners should have the following:

  • Cloud Solution Awareness: Students should have experience using the Azure Portal and a basic understanding of PaaS, SaaS, and IaaS implementations.
  • 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.

Course Content

  • Module 1: Introduction to IoT and Azure IoT Services
    • Business Opportunities for IoT
    • Introduction to IoT Solution Architecture
    • IoT Hardware and Cloud Services
    • Lab Scenarios for this Course
    • Lab:
      • Getting Started with Azure
      • Setting Started with Azure IoT Services
  • Module 2: Devices and Device Communication
    • IoT Hub and Devices
    • IoT Developer Tools
    • Device Configuration and Communication
    • Lab:
      • Setup the Development Environment
      • Connect IoT Device to Azure
  • Module 3: Device Provisioning at Scale
    • Device Provisioning Service Terms and Concepts
    • Configure and Manage the Device Provisioning Service
    • Device Provisioning Tasks
    • Lab:
      • Individual Enrollment of Devices in DPS
      • Automatic Enrollment of Devices in DPS
  • Module 4: Message Processing and Analytics
    • Messages and Message Processing
    • Data Storage Options
    • Azure Stream Analytics
    • Lab:
      • Device Message Routing
      • Filtering and Aggregating Message Data
  • Module 5: Insights and Business Integration
    • Business Integration for IoT Solutions
    • Data Visualization with Time Series Insights
    • Data Visualization with Power BI
    • Lab:
      • Integrate IoT Hub with Event Grid
      • Explore and Analyze Time Stamped Data with Time Series Insights
  • Module 6: Azure IoT Edge Deployment Process
    • Introduction to Azure IoT Edge
    • Edge Deployment Process
    • Edge Gateway Devices
    • Lab:
      • Introduction to IoT Edge
      • Set Up an IoT Edge Gateway
  • Module 7: Azure IoT Edge Modules and Containers
    • Develop Custom Edge Modules
    • Offline and Local Storage
    • Lab:
      • Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
      • Run an IoT Edge Device in Restricted Network and Offline
  • Module 8: Device Management
    • Introduction to IoT Device Management
    • Manage IoT and IoT Edge Devices
    • Device Management at Scale
    • Lab:
      • Remotely Monitor and Control Devices with Azure IoT Hub
      • Automatic Device Management
  • Module 9: Solution Testing, Diagnostics, and Logging
    • Monitoring and Logging
    • Troubleshooting
    • Lab:
      • Configure Metrics and Logs in Azure IoT Hub
      • Monitor and Debug Connection Failures
  • Module 10: Azure Security Center and IoT Security Considerations
    • Security Fundamentals for IoT Solutions
    • Introduction to Azure Security Center for IoT
    • Enhance Protection with Azure Security Center for IoT Agents
    • Lab:
      • Implementing Azure Security Center for IoT
  • Module 11: Build an IoT Solution with IoT Central
    • Introduction to IoT Central
    • Create and Manage Device Templates
    • Manage Devices in Azure IoT Central
    • Lab:
      • Get Started with Azure IoT Central
      • Implementing IoT Solutions with Azure IoT Central

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