Microsoft Power Apps: AI Builder
1h 17mAdvanced2020-07-14
Authors
Gini von Courter
Teaching computer classes on Microsoft Office for 20+ years
Course details
Microsoft Power Apps gives both business power users and professional developers the ability to quickly create powerful, low-code/no-code business apps. With the AI Builder in Power Apps, you can make your apps and workflows even smarter by adding AI capabilities—no programming experience required. In this course, instructor Gini von Courter helps you get up and running with AI Builder, showing you how to create custom AI models that can be used in Power Apps or Power Automate. Gini explains how to create AI automation for tasks such as form processing, object detection, and text classification. Along the way, she demonstrates how to build each model; train, review, and test the models; and then implement them in your projects.
Skills covered
Power AppsNeural Networks and Deep LearningBusiness IntelligenceArtificial Intelligence FoundationsSoftware Development ToolsArtificial Intelligence for BusinessArtificial Intelligence (AI)Data ScienceBusiness Analysis and StrategyMicrosoftSoftware DevelopmentDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Create no-code AI models for your business
- 02 - What you should know
1. Get Started with the AI Builder
- 03 - Microsoft AI - The basics
- 04 - Setting up an AI Builder trial
- 05 - AI design process and models - The basics
2. Create and Use an AI Model - Form Processing
- 06 - Form processing model requirements
- 07 - Create the form processing an AI model
- 08 - Identify the form fields
- 09 - Train, review, and test the model
- 10 - Publish the form processing an AI model
- 11 - Use the AI model in an app
3. Create an Object Detection AI Model
- 12 - Object detection model requirements
- 13 - Build the AI model and tag images
- 14 - Train, review, and test the model
- 15 - Review the object detection AI model
4. Create a Category Classification AI Model
- 16 - Category classification model requirements
- 17 - Add your data to the Common Data Service
- 18 - Build and train the classification model
- 19 - Evaluate and manage the classification model
Conclusion
- 20 - AI Builder prebuilt models - The basics
- 21 - Next steps