Streaming IoT Data with Azure Serverless and AI

Introduction

• Leveraging serverless capabilities using Azure services
• What you should know

1. Understanding Serverless Computing

• Streaming data with serverless and AI
• Our serverless weather station

2. IoT Hub

• What is IoT Hub?
• Provisioning IoT Hub
• Connecting devices
• Adding a Raspberry Pi simulator

3. Stream Analytics

• What is Stream Analytics?
• Provisioning an ASA job
• Defining an Azure Stream Analytics job
• Storing data using Stream Analytics
• Job performance monitoring

4. Event Hubs

• Event Hubs overview
• Provisioning an event hub
• Stream Analytics query language
• Send alerts to Event Hubs with Stream Analytics
• Comparing messaging services

5. Azure Functions

• Introducing function apps
• Create a function app
• Working with triggers
• Manage and monitor functions
• Logging in functions
• Working with Application Insights
• Working with Kudu
• Visual Studio function project
• Create a function with Visual Studio
• Deploy function from Visual Studio
• VS Code function project
• Create a function with VS Code
• Options for deploying a function from VS Code

6. Logic Apps and OpenAI

• Azure OpenAI Service
• Provisioning an Azure OpenAI Service
• What are Logic Apps?
• From queue to AI to email with Logic Apps

Conclusion

• Exploring Azure IoT Central and reference architectures
• Teardown
• Next steps: Learning more about Azure serverless computing