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 AzureLab: 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

Module 2: Devices and Device Communication

• IoT Hub and Devices
• 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

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
• 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

Module 4: Message Processing and Analytics

• Messages and Message Processing
• Data Storage Options
• Azure Stream Analytics
• Lab: Device Message Routing
• Lab: Filtering and Aggregating Message Data

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

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
• 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
• Configure IoT Data for Visualization in Power BI

Module 6: Azure IoT Edge Deployment Process

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

• Develop Custom Edge Modules
• Offline and Local Storage
• Lab: Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
• Lab: Run an IoT Edge Device in Restricted Network and Offline

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

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
• Lab: 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

• Monitoring and Logging
• Troubleshooting
• Lab: Configure Metrics and Logs in Azure IoT Hub
• Lab: Monitor and Debug Connection Failures

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

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

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 Security Center for IoT
• Configure Security Agents and Security Module Twins
• Aggregate Azure Security Center for IoT Events

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
• Lab: Implementing IoT Solutions with Azure IoT Central

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