Microsoft Power Platform - Getting Started with AI Models

In this course you will learn how to deploy AI Models in common business scenarios using the Microsoft Power Platform AI Builder.

Description

This course introduces AI Models in the Microsoft Power Platform. Building a foundation understanding of practical scenarios where business can leverage the power of AI in their organization quickly and effectively. This includes an introduction to the pre-built AI Models in the Power Platform, training Models in common business scenarios, testing and optimizing Models for best performance.

Students will also learn how to implement Models in practical scenarios using Canvas Apps and Power Automate Flows.

 

Audience profile

 This course has been designed to apply to users of the Microsoft Power Platform.

Although not essential, it is recommended that attendees of this course have an existing knowledge of the Microsoft Power Platform.

 

At course completion

 After completing this course, students will be able to:

Understand the AI Models in the Microsoft Power Platform
Build, train and deploy AI Models for practical business scenarios
Leverage the power of AI Models by integrating with Canvas Apps and Power Automate Flows

 

 

Course Outline

 

Module 1: Introduction

This module provides an introduction to the course as well as a brief orientation of the Microsoft Power Platform and AI Models.

Lessons

  • Overview of the AI Models in the Microsoft Power Platform

Lab 1: Set up your Lab Environment

 

 

Module 2: Document Processing AI Model

This module will provide the student with the skills needed to build and deploy a Document Processing AI Model into a custom application.

Lessons

  • Prepare your data
  • Build a Document Processing AI Model
  • Train a Document Processing AI Model
  • Test a Document Processing AI Model
  • Publish a Document Processing AI Model
  • Optimize your Document Processing AI Model
  • Create an App that uses your Document Processing AI Model
  • Use your AI Model in a business scenario

Lab 1: Build a Document processing AI Model

Lab 2: Create an App that uses your AI model

 

 

Module 3: Object Detection AI Model

This module will provide the student with the skills needed to build and deploy the Object Detection AI Model into a custom application.

Lessons

  • Prepare your data
  • Build an Object Detection AI Model
  • Train an Object Detection AI Model
  • Test an Object Detection AI Model
  • Publish an Object Detection AI Model
  • Optimize an Object Detection AI Model 
  • Create an app that uses your Object Detection AI Model 
  • Use your AI Model in a business scenario

Lab 1: Data Preparation

Lab 2: Build an Object Detection AI Model

Lab 3: Create App for Object Detection AI model

 

 

Module 4: Prediction AI Model

This module will provide the student with the skills needed to develop and deploy a Prediction AI model into a custom application.

Lessons

  • Prepare your data
  • Build a Prediction AI Model
  • Train a Prediction AI Model
  • Test and Publish a Prediction AI Model
  • Optimize your Prediction AI Model
  • Create an app that uses your Prediction AI Model 
  • Use your AI Model in a business scenario

Lab 1: Data Preparation

Lab 2: Build a Prediction AI Model

Lab 3: Create a model data driven App for your Prediction Model

 

 

Module 5: Text Classification AI Model

This module will provide the student with the skills needed to develop and deploy a Text Classification AI model into a custom process flow.

Lessons

  • Prepare your data
  • Build a Text Classification AI Model
  • Train a Text Classification AI Model
  • Test a Text Classification AI Model
  • Publish a Text Classification AI Model
  • Optimize a Text Classification AI Model
  • Create a workflow in Power Automate to use your Text Classification AI Model
  • Run your workflow to test the Text Classification AI Model

Lab 1: Data Preparation

Lab 2: Build a Text Classification AI Model

Lab 3: Build a Flow to use the Text Classification AI model

 

 

Module 6: Entity Extraction AI Model

This module will provide the student with the skills needed to develop and deploy an Entity Extraction AI model into a custom process flow.

Lessons

  • Prepare your data
  • Build an Entity Extraction AI Model
  • Train a Entity Extraction AI Model
  • Test an Entity Extraction AI Model
  • Publish an Entity Extraction AI Model
  • Design a workflow in Power Automate to use your Entity Extraction AI Model
  • Run your workflow to test the Entity Extraction AI Model

Lab 1: Data Preparation

Lab 2: Build an Entity Extraction AI Model

Lab 3: Build a Flow to use the Entity Extraction AI model

 

 

Prerequisites

No previous experience of the Power Platform is needed to sit this course. This course applies to end users and provides a foundation for subsequent learning and courses.

Similar courses

This course is designed for citizen developers and technical users, providing the skills required to gain insights into data held within the Dataverse, create custom reports, custom visualizations and implement the Artificial Intelligence features in Microsoft Dynamics 365 and the Power Platform.

More Information

This course provides students with detailed hands-on experience of Microsoft Dynamics 365 Sales with the new Copilot AI companion .

More Information

This course provides students with detailed hands-on experience of Microsoft Dynamics 365 Customer Service with the new Copilot AI companion .

More Information

This course provides end users with an introduction to Microsoft Dynamics 365 and the latest AI tools.

More Information

This course provides students with an introduction to the AI capabilities of Dynamics 365 Customer Insights by building an in-depth understanding of the key AI Insights features of Dynamics 365.

More Information

This course is designed to showcase tools designed to help gain insight into data held within Dynamics 365 Apps, as well as increase efficiencies and productivity with the implementation of the Artificial Intelligence features in Microsoft Dynamics 365 and Copilot.

More Information

This course is designed to provide an insight into the benefits gained through the implementation of Artificial Intelligence features in the Microsoft Power Platform.

More Information

This course is for IT professionals looking to learn how to build AI solutions in Azure AI Services.

More Information