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Implement AI models with Microsoft Power Platform AI Builder

Offered By: Microsoft via Microsoft Learn

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Business Intelligence Courses Machine Learning Courses Data Processing Courses Text Recognition Courses

Course Description

Overview

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  • Module 1: Discover the benefits of document automation and how it can streamline your workflow.

    In this module, you will:

    • Understand which scenarios are addressed in document automation.
    • Learn what you can accomplish with document automation.
  • Module 2: Explore the fundamentals of AI Builder's Document processing, its benefits to your organization, and its integration with Power Apps.

    This module explains how to:

    • Explore how automating document processing can help save time.
    • Create your first Document processing model.
    • Learn how to use your Document processing models in Power Apps and Power Automate.
  • Module 3: Explore AI Builder's ready-to-use models, enhancing Power Apps user experience and offering interactive controls.

    In this module, you'll:

    • Learn about the difference between custom and prebuilt AI Builder models.
    • Examine AI Builder models that are available for model-driven apps in Power Apps.
    • Examine AI Builder models that are available for canvas apps in Power Apps.
  • Module 4: Learn about AI Builder Text recognition and how to use it with other Microsoft Power Platform products.

    This module explains how to:

    • Integrate AI Builder Text recognition.
    • Identify how to use AI Builder Text recognition within Microsoft Power Platform.
    • Evaluate which business problems can be solved by AI Builder Text recognition.
    • Develop a simple flow with Power Automate that uses AI Builder Text recognition.
    • Practice processing files from a OneDrive folder and saving recognized text to Microsoft Dataverse.
    • Develop a Power Apps application that will use AI Builder Text recognition.
    • Practice retrieving recognized text.
  • Module 5: Discover the AI Builder prediction model and its different outcome patterns.

    In this module, you'll:

    • Learn about the AI Builder prediction model.
    • Discover the different outcome patterns.
    • Learn about historical data selection.
    • Create a prediction model.
    • Use the prediction model in a model-driven app.

Syllabus

  • Module 1: Module 1: Automate the processing of documents with the AI Builder prepackaged solution
    • Introduction to AI Builder document automation
    • Install the document automation base kit
    • Configure the document automation base kit
    • Monitor and review processing documents with the document automation base kit
    • Check your knowledge
    • Summary
  • Module 2: Module 2: Process custom documents with AI Builder
    • Introduction to Document processing
    • Create your first model
    • Use your model
    • Check your knowledge
    • Summary
  • Module 3: Module 3: Use AI Builder models in Power Apps
    • Introduction
    • Create a new custom model
    • Add a prebuilt model component to a model-driven app
    • Add a prebuilt model component to a canvas app
    • Add a custom model component to a canvas app
    • Check your knowledge
    • Summary
  • Module 4: Module 4: Recognize text with AI Builder
    • Introduction to AI Builder Text recognition
    • Business problems solved with AI Builder Text recognition
    • Build a Power Automate flow with AI Builder Text recognition
    • Build a Power Apps application that uses AI Builder Text recognition
    • Check your knowledge
    • Summary
  • Module 5: Module 5: Get started with AI Builder prediction
    • Introduction
    • Solve business problems with AI Builder prediction models
    • Exercise – Build a prediction model and use it in a model-driven app
    • Check your knowledge
    • Summary

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