Azure IoT Hub
Learning
Learning Paths
You'll learn about the message processing and data analytics capabilities that must be implemented within your IoT solution by using IoT Hub, and the storage options that are often configured as part of your solution.
Levels: Intermediate
Roles: Developer, Administrator, Solution Architect
Modules
- Examine Azure IoT Hub message routing
- Consider Azure IoT Hub message processing options and constraints
- Examine Cloud storage options for Azure IoT Hub solutions
- Examine Azure Stream Analytics and Azure Functions in Azure IoT Hub solutions
- Guided project - Route and process messages from your Azure IoT Hub devices
Learn about device management patterns and capabilities, and the solution monitoring tools available in Azure and how to apply them to the IoT Hub service.
Levels: Intermediate
Roles: Developer, Administrator, Solution Architect
Modules
- Examine device management concepts and methods for Azure IoT Hub
- Evaluate device management tools for Azure IoT Hub
- Examine approaches to device management at scale using Azure IoT Hub
- Examine Azure IoT Hub monitoring and logging
- Troubleshoot Azure IoT Hub device connections and communication
- Guided project - Explore Azure IoT Hub monitoring
Learn to design conceptual architecture for data classifications using data residency for Microsoft 365 and Dynamics 365 services while utilizing Azure regions and Customer lockbox. Manage breach notifications in Service Trust Portal and Microsoft Defender for Cloud. And encrypt data throughout its lifecycle.
Levels: Intermediate
Roles: Business User
Modules
Enhance IoT solution security by using Microsoft Defender for IoT
Levels: Intermediate
Roles: Developer
Modules
This learning path aims to explain learners how to deploy AI at the edge using Azure services.
Levels: Beginner
Roles: AI Engineer, Data Scientist
Modules
- Introduction to Azure IoT
- Introduction to Azure IoT Hub
- Introduction to Azure IoT Edge
- Deploy a pre-built module to the Edge device
- Train and package an Azure machine learning module for deployment to IoT Edge device
- Introduction to Azure Functions for IoT
- Connecting IoT devices to Cognitive Services using Azure Functions
- Run Cognitive Services on IoT Edge
- Introduction to MLOps for IoT Edge
- Implement CI/CD for IoT Edge
- Introduction to Azure Sphere
- Image classification using Azure Sphere
- Develop secure IoT Solutions for Azure Sphere with IoT Hub
- Develop secure IoT solutions for Azure Sphere, Azure RTOS and Azure IoT Central
- Create an image recognition solution with Azure IoT Edge and Azure Cognitive Services
- Void detection on Edge devices with Live Video Analytics using own images and video
- Object detection on Edge devices with Live Video Analytics using YOLO model
Learn how to create a mixed reality application using Azure Digital Twins and Unity, a real-time 3D platform.
Levels: Beginner
Roles: Developer, Business Owner, Student, Technology Manager
Modules
Provision IoT devices at scale by using the Device Provisioning Service
Levels: Intermediate
Roles: Developer
Modules
Learn how to develop and securely deploy custom NVIDIA DeepStream applications to NVIDIA-powered IoT Edge devices.
Levels: Beginner
Roles: AI Engineer, Data Scientist
Modules
Learning Modules
