PL-7004: Implement AI models with Microsoft AI Builder - virtual



Kursarrangør: Glasspaper AS
Sted: Nettkurs / Nettstudie
Hele landet
Type:Nettkurs og nettstudie
Studie / yrkesutdanning
Undervisningstid: kl 09:00 - 16:00
Varighet: 1 dag
Pris: 9.500

We provide virtual course about PL-7004: Implement AI models with Microsoft AI Builder. Learn how to to automate document workflows, recognize text, and predict outcomes. Gain hands-on expertise with AI Builder in Power Apps and Power Automate, driving smarter, AI-powered business solutions.

Content:
This course guides you in leveraging AI Builder to automate document processing, recognize text, and make predictions. Through hands-on labs and projects, you'll create and integrate custom AI models with Power Apps and Power Automate for efficient, AI-driven workflows. Develop skills to streamline approvals, automate repetitive tasks, and enhance app functionality with prebuilt and custom AI models in Power Platform.

Course objectives:
• Automate document processing with AI Builder’s prepackaged solution
• Create custom document processing models and integrate them into workflows
• Differentiate between custom and prebuilt AI Builder models for Power Apps
• Implement AI Builder Text recognition for business applications
• Build a prediction model and apply it within a model-driven app
• Design Power Automate flows using AI models for streamlined approvals

Course outline:
Module 1 - Automate the processing of documents with the AI Builder prepackaged solution:
• Understand which scenarios are addressed in document automation
• Learn what you can accomplish with document automation

Module 2 - Process custom documents with AI Builder:
• 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 - Use AI Builder models in Power Apps:
• 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 - Recognize text with AI Builder:
• 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 - Get started with AI Builder prediction:
• 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
• Lab: Build a prediction model and use it in a model-driven app

Module 6 - Guided Project - Create document process model and email approval with AI Builder and Power Automate:
• Create document processing model - Create a Power Automate flow that consumes your document processing model for approvals.
• Lab: Create the invoice Processing Model
• Lab: Build an approval email that uses the Invoice Processor model

Prepare for your Applied Skills credential:
This one-day, instructor-led training is recommended as preparation for the assessment Implement AI models with Microsoft Power Platform AI Builder. Microsoft Applied Skills is a new scenario-based credential that proves your proficiency in skill sets specific to critical business problems, so you can make a bigger impact on your projects, your organization, and your career.

Target audience:
Power Platform App Maker

Prerequisites:
• You should be familiar with the Microsoft Power Platform Environment Maker role, Power Platform apps, Power Automate cloud flows and Dataverse.

Language:
• English course documentation, english or norwegian speaking instructor

Course material:
Digital course documentation and hands-on labs