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.