Develop AI enabled Applications in PowerApps using AI Builder
summary
Builds a custom object detection model in AI Builder, uploads and tags images (demonstration uses ~30 images but recommends 50+ images per class), trains and publishes the model, and tests it with a sample showing about 92% confidence on detected items. The model is embedded in a PowerApps canvas app via the Object Detector control and a data table that shows tag names and counts; the same model can also be used to create Power Automate flows.
AI-written summary · about
chapters (24)
- 0:00Start
- 0:29Developing Ai Enabled Applications in Power Apps Using Ai Builder
- 2:31Agenda
- 3:38Overview around the Power Platform Products
- 5:57Ai Builder
- 8:12Sentiment Analysis
- 8:38Key Phrase Extraction
- 9:01Text Recognition
- 11:20Form Processing
- 12:15Add Intelligence to Applications
- 12:46Tailor Your Ai Model
- 13:05Training Your Ai Model
- 13:49Object Detection Using the Ai Builder in Powerapps
- 14:25Sample Model
- 17:27Demo
- 20:37Add Images
- 21:04Quick Tips
- 21:27Tagging the Images
- 24:39Model Summary
- 25:17Train the Model
- 27:41Create a New App
- 28:09Application Editing
- 28:22Object Detector
- 30:53Preview
related talks
28mBuilding Intelligent PowerApps using Azure Cognitive Services
57mEasier AI allows everyone to build smart apps
01h 04mBuilding and Training your own Custom Image Recognition AI
42mProduct Recognition in Retail/E-Commerce with Azure AI
09mBuilding Apps with AI: Agents + Power Platform in Action
58mPlaying the game with Azure Cognitive Services
41mAI + Machine Learning for .NET Developers
50mAzure AI, Power new possibilities for every organization
