Streaming IoT Data with Azure Serverless and AI

2h 2mIntermediate2025-08-15

Authors

Mike Benkovich

Former Microsoft Evangelist, Current Software Architect

Course details

You may already be familiar with platform as a service (PaaS), but this course takes you further by teaching you how to work with several of the serverless options available in Azure. After covering the foundations of serverless computing, instructor Mike Benkovich introduces you to stream analytics, Event Hubs, advanced queries, and functions. Working through a real-world scenario, follow along with demos that will help you build skills for IoT provisioning, provisioning an ASA job, and more. Check out this course to gain the skills to leverage Azure Serverless capabilities to design data flows.

Learning objectives
Provision an IoT Hub in Azure.
Provision a Stream Analytics job in the Azure portal.
Send alerts to Event Hub using Stream Analytics.
Create a Function app in the Azure portal.
Set up and use Logic Apps to send alerts.

Skills covered

Internet of ThingsHardwareCloud DevelopmentCloud AdministrationAzureSoftware Development ToolsCloud ServicesCloud PlatformsCloud ComputingMicrosoftSoftware DevelopmentDeep Dive (X:Y)

Concepts

0. Introduction

01 - Leveraging serverless capabilities using Azure services
02 - What you should know

1. Understanding Serverless Computing

03 - Streaming data with serverless and AI
04 - Our serverless weather station

2. IoT Hub

05 - What is IoT Hub
06 - Provisioning IoT Hub
07 - Connecting devices
08 - Adding a Raspberry Pi simulator

3. Stream Analytics

09 - What is Stream Analytics
10 - Provisioning an ASA job
11 - Defining an Azure Stream Analytics job
12 - Storing data using Stream Analytics
13 - Job performance monitoring

4. Event Hubs

14 - Event Hubs overview
15 - Provisioning an event hub
16 - Stream Analytics query language
17 - Send alerts to Event Hubs with Stream Analytics
18 - Comparing messaging services

5. Azure Functions

19 - Introducing function apps
20 - Create a function app
21 - Working with triggers
22 - Manage and monitor functions
23 - Logging in functions
24 - Working with Application Insights
25 - Working with Kudu
26 - Visual Studio function project
27 - Create a function with Visual Studio
28 - Deploy function from Visual Studio
29 - VS Code function project
30 - Create a function with VS Code
31 - Options for deploying a function from VS Code

6. Logic Apps and OpenAI

32 - Azure OpenAI Service
33 - Provisioning an Azure OpenAI Service
34 - What are Logic Apps
35 - From queue to AI to email with Logic Apps

Conclusion

36 - Exploring Azure IoT Central and reference architectures
37 - Teardown
38 - Next steps - Learning more about Azure serverless computing