Syllabus

Module 1: Introduction to IoT Services and Azure IoT

In this module, students will start by examining the business considerations for various IoT implementations and reviewing how Azure's IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of commonly used Azure services in an IoT solution and introduces the Azure portal.

Lessons

• Business opportunities for IoT
• Introduction to IoT Solution Architecture
• IoT Hardware and Cloud Services
• Lab Scenarios for this Course

Laboratory: Getting started with Azure

Laboratory: Getting 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 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 bidirectional 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 progresses.

Lessons

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

Laboratory: Setting up the Development Environment

Laboratory: Connecting the IoT Device to Azure

After completing this module, students will be able to:

• Explain the key 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 on the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
• Implement IoT Hub Device and Service SDKs

Module 3: Device Provisioning at Scale

In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service (DPS). Students will learn about the enrollment process, auto-provisioning and re-provisioning, deprovisioning, and how to implement various attestation mechanisms.

Lessons

• Terms and Concepts of Device Provisioning Service
• Configure and Manage the Device Provisioning Service
• Device Provisioning Tasks

Laboratory: Individual Device Enrollment in DPS

Laboratory: 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 the security considerations associated with device provisioning and how they are managed
• Implement the Device Provisioning Service SDKs
• Manage the device registration process, including deprovisioning and unregistering

Module 4: Message Processing and Analysis

In this module, students will examine how IoT Hub and other Azure services can be used for message processing. Students will start 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 range of ASA patterns.

Lessons

• Messages and Message Processing
• Data Storage Options
• Azure Stream Analytics

Laboratory: Device Message Routing

Laboratory: Message Data Filtering and Aggregation

After completing this module, students will be able to:

• Configure message and event routing
• Forward data to built-in and custom endpoints
• Implement message enrichment
• Implement Azure Stream Analytics inputs, queries, and outputs
• Store message data in hot storage for historical purposes and additional analysis
• Use an Azure function within a message processing and analysis solution

Module 5: Insights 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 applications and configure data connections and transformations for data visualization tools such as Time Series Insights and Power BI.

Lessons

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

Laboratory: Integrating IoT Hub with Event Grid

Laboratory: Exploring and Analyzing Data with Timestamps using Time Series Insights

After completing this module, students will be able to:

• Explain the business integration options 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 views
• Configure IoT data for visualization in Power BI

Module 6: Azure IoT Edge Deployment Process

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.

Lessons

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

Laboratory: Introduction to IoT Edge

Laboratory: Configuring 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

Module 7: Azure IoT Edge Modules and Containers

In this module, students will develop and deploy custom 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: Developing, Deploying, and Debugging a Custom Module on Azure IoT Edge

Laboratory: Running an IoT Edge Device in Restricted and Offline Network

After completing this module, students will be able to:

• Explain the requirements for building a custom edge module
• Configure Visual Studio Code for container module development
• Implement a custom module on an IoT Edge device
• Implement local storage on an IoT Edge device to support 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 using device twins and solutions using direct methods.

Lessons

• Introduction to IoT Device Management
• Managing IoT and IoT Edge Devices
• Managing Devices at Scale

Laboratory: Monitoring and Remote Control of Devices with Azure IoT Hub

Laboratory: 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

Module 9: Solution Testing, Diagnostics, and Logging

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

Lessons

• Monitoring and Logging
• Troubleshooting

Laboratory: Configuring Metrics and Logs in Azure IoT Hub

Laboratory: Monitor and Debugger Connection Failures

After completing this module, students will be able to:

• Describe the monitoring and logging options for an Azure IoT solution
• Configure Azure Monitor to support an IoT solution
• Configure IoT Hub Metrics to support an IoT solution
• Implement diagnostic logging
• Troubleshoot IoT device connection and communication issues

Module 10: Azure Security Center and IoT Security Considerations

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

Lessons

• Security Fundamentals for IoT Solutions
• Introduction to Azure Security Center for IoT
• Enhancing Protection with Azure Security Center for IoT Agents

Laboratory: Implementing Azure Security Center for IoT

After completing this module, students will be able to:

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

Module 11: Building an IoT Solution with IoT Central

In this module, students will learn how to configure and implement 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 then create and manage device templates, and subsequently manage devices in their IoT Central application.

Lessons

• Introduction to IoT Central
• Creating and Managing Device Templates
• Managing Devices in Azure IoT Central

Laboratory: Getting Started with Azure IoT Central

Laboratory: Implementing IoT Solutions with Azure IoT Central

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 a device template
• Create and publish a device template
• Manage devices using rules and notifications
• Manage devices at scale using jobs