PL-7004: Implement AI models with Microsoft Power Platform AI Builder

Unlock the power of artificial intelligence with PL-7004: Implement AI Models with Microsoft Power Platform AI Builder, an agent-led, hands-on course designed to empower business analysts, developers, and consultants to create intelligent applications using AI Builder. This course covers the latest AI Builder capabilities, guiding you through building, training, and deploying AI models to automate processes and gain actionable insights. Learn to seamlessly integrate AI models into Power Apps and Power Automate to enhance business workflows and drive digital transformation. Whether you're new to AI or looking to deepen your Power Platform expertise, this course delivers practical knowledge to implement AI solutions effectively.

Audience

• Business Analysts and Functional Consultants seeking to implement AI capabilities in Power Platform solutions

• Developers and Citizen Developers aiming to enhance apps and workflows with AI Builder

• IT Professionals and Solution Architects involved in digital transformation initiatives using Microsoft Power Platform

• Power Platform enthusiasts and professionals looking to expand AI skills for business automation and insights

Course Outline

1. Introduction to AI Builder and AI in Power Platform

• Overview of AI Builder capabilities

• Understanding AI models in business contexts

• Exploring AI Builder integration with Power Apps and Power Automate

2. Creating and Managing AI Models

• Building prebuilt and custom AI models

• Model training, evaluation, and optimization

• Managing datasets and improving model accuracy

3. Implementing AI Models in Power Apps

• Embedding AI Builder components in canvas and model-driven apps

• Using AI models to enhance user experiences and app functionality

4. Automating Business Processes with AI Builder in Power Automate

• Designing workflows that incorporate AI predictions

• Automating decision-making and approvals with AI insights

5. Advanced AI Builder Features and Customization

• Exploring object detection, form processing, and text classification

• Using AI Builder with Microsoft Dataverse for scalable solutions

6. Monitoring, Governance, and Best Practices

• Monitoring AI model performance and usage

• Understanding compliance, data privacy, and governance in AI Builder