Azure IoT & AI Workshop

The Azure IoT & AI Workshop is an accumulation of several resources available on Azure Docs giving you an introduction to Azure IoT sensor telemetry integration, and Artificial Intelligence services covering vision and natural language with bot services.

We will start by walking through the IoT Hands on Labs, then proceed to the AI portion of the workshop. The final lab in the AI portion will bring both labs together while you implement IoT command-and-control functionality using natural language BoT processing.

Let's get started...

Azure IoT Hands on Labs

Labs using Azure Services to build Azure IoT End to End Solutions connecting real & simulated devices to Azure IoT Hub.

IoT Modules

Setup: Azure subscription access and the Data Science Virtual Machine

Duration: 15-30 minutes

Setup Lab

Module 1: Introduction to Azure IoT Hub and Connect MXChip

Duration: 60-90 minutes

Azure IoTHub Lab with MXChip

Module 2: Connect Pi Simulator to IoT Hub

Duration: 30 minutes

Azure IoTHub Pi Simulator Lab

Module 3: Create Azure Time Series Insights and Visualize Device Data

Duration: 60 minutes

Time Series Insights Lab

Module 4: Capture Device Events and Send Notifications

Duration: 30 minutes

Azure IoTHub with Event Grid Lab

Module 5: Cold Path Storage

Duration: 60-90 minutes

Azure Date Lake Store Lab

Module 6: Hot Path Analytics

Duration: 60 minutes

Cosmos DB Lab

Module 7: Batch Analytics

Duration: 60 minutes

SQL Data Warehouse Lab

Module 8: Load Test using Device Simulator

Duration: 30 minutes

Device Simulator

Module 9: Configure and monitor IoT devices at scale

Duration: 30 minutes

Automatic Device Configuration

Congratulations! You have completed the IoT portion of this workshop.

Azure Artificial Intelligence Hands on Labs

Labs using Azure Services to develop proficiency in Azure Cognitive Services including Computer Vision, Custom Vision, LUIS, and Bing Search. You will also learn to leverage other AI-oriented services such as Azure Search and Azure Bot Services.

AI Modules

Module 1.1: Simplifying Cognitive Services App Development using Portable Class Libraries

Duration: 60 minutes

Integrating Cognitive Services into VS Project

Module 1.2: Creating an Image Classification Application using the Custom Vision Service

Duration: 30 minutes

Build Custom Vision Model

Module 1.3: Creating an Object Detection Application using the Custom Vision Service

Duration: 30 minutes

Object Detection with Custom Vision

Module 1.5: Developing Intelligent Applications with LUIS

Duration: 30 minutes

Language Understanding Intelligent Service

Module 1 section complete! Take a break and continue on to Module 2.

Module 2.1: Developing Intelligent Applications with Azure Search

Duration: 60 minutes

Integrate Azure Search

Module 2.2: Building Intelligent Bots

Duration: 60-90 minutes

Working with BoT Framework

Module 2.3: Enhancing Applications with Bing Search

Duration: 60-90 minutes

Integrating with a Public Search Engine

Module 2.4: Logging with Microsoft Bot Framework

Duration: 60 minutes

Conversation Logging

Module 2.5: Testing Bots with Microsoft Bot Framework

Duration: 30 minutes

Testing Bots

Module 2.6: Command and Control IoT Devices using Conversational AI

Duration: 30 minutes

IoT Command and Control

Congratulations! You have completed the Azure IoT & AI Workshop.

Supplementary Learning Materials

• Microsoft Learn
• AI School
• IoT School
• Microsoft Professional Certification Programs
• edX Azure courses

Interesting GitHub resources

• Intelligent Kiosk
• AI Toolkit for IoT Edge
• Spark ML Batch Scoring for Predictive Maintenance
• Azure Organization
• Microsoft Organization

Certifications

The LearnAI team had intense participation in the creation of the following new Microsoft certifications and its required tests:

• Azure Data Engineer​

  • DP-200: Implementing an Azure Data Solution
  • DP-201: Designing an Azure Data Solutions​

• Azure AI Engineer​

  • AI-100: Designing and Implementing an Azure AI Solution

• Azure Data Scientist

  • DP-100: Designing and Implementing a Data Science Solution on Azure​

Use of GitHub

We will be using GitHub for all of our labs and corresponding documentation for this workshop. To learn more about GitHub, please visit this brief tutorial:

• GitHub Tutorial