PL-7004: Implement AI Models with Microsoft Power Platform AI Builder
Last Updated: 08-03-2025
The PL-7004: Implement AI Models with Microsoft Power Platform AI Builder course is designed to teach professionals how to create and implement AI-driven solutions using AI Builder within the Microsoft Power Platform. AI Builder allows users to integrate powerful AI capabilities into apps, workflows, and business processes, without requiring deep knowledge of data science or coding. This course will provide you with the skills needed to design and implement AI models, automate business processes with AI, and apply AI Builder to create solutions that drive business transformation. Whether you're a business analyst, citizen developer, or IT professional, this course will equip you with the knowledge to leverage AI in real-world business applications using Power Apps, Power Automate, and Power BI.
Basic familiarity with Microsoft Power Platform (e.g., Power Apps, Power Automate, Power BI) is recommended but not required.
A general understanding of business processes and data management will be beneficial.
No prior experience with data science or coding is necessary, as this course is designed for low-code and no-code environments.
Some familiarity with Microsoft 365 tools (e.g., SharePoint, Teams, Outlook) will be useful but not essential.
Learning Objectives
By the end of the PL-7004: Implement AI Models with Microsoft Power Platform AI Builder course, you will be able to:
Understand the key components and capabilities of AI Builder within the Microsoft Power Platform, and how it integrates with Power Apps, Power Automate, and Power BI.
Create and train AI models using AI Builder, including models for form processing, object detection, text recognition, and sentiment analysis.
Implement AI-driven solutions in Power Apps to build intelligent apps that leverage AI models for better decision-making and automation.
Use AI Builder in Power Automate to create intelligent workflows that can automatically handle tasks such as data extraction, text classification, and more.
Integrate AI Builder with Power BI to enhance data insights through AI-driven reports and dashboards, enabling smarter business decisions.
Apply AI Builder capabilities to automate and streamline business processes in a variety of industries, from finance to healthcare and beyond.
Understand best practices for model training, including data quality, model evaluation, and performance tuning to ensure optimal results.
Secure and govern AI-powered applications and workflows by implementing security measures and adhering to compliance standards in Power Platform solutions.
Troubleshoot and optimize AI models, ensuring that they provide accurate and reliable results across different scenarios and datasets.
Prepare for the PL-7004 certification exam by gaining hands-on experience with real-world scenarios, case studies, and practical exercises in AI Builder.
Target Audience
This course is ideal for:
Business analysts and citizen developers who want to enhance their applications and workflows with AI capabilities using Microsoft Power Platform.
IT professionals and developers seeking to integrate AI-powered features into their business solutions without deep coding expertise.
Solution architects interested in building AI-driven automation and enhancing business processes with AI Builder.
Business users looking to create smarter workflows and predictive models that can be easily integrated with Power Automate and Power Apps.
AI enthusiasts and professionals wanting to learn how to develop and deploy AI models using Microsoft Power Platform.
Individuals looking to prepare for the PL-7004 certification exam, which validates the ability to implement AI models within Power Platform using AI Builder.
Course Modules
Module 1: Introduction to AI Builder
Overview of AI Builder:
Understanding AI Builder’s role in automating and enhancing business solutions.
Types of AI models available in AI Builder (e.g., object detection, text classification).
Module 2: Create AI Models
Form Processing:
Implementing AI Builder’s form processing model to extract data from scanned documents and forms.
Object Detection:
Using AI Builder’s object detection model to classify and identify objects in images.
Text Classification:
Implementing text classification models to categorize and label text-based data.
Module 3: Train and Improve AI Models
Model Training:
Preparing data and training AI models using AI Builder.
Best practices for improving model accuracy.
Refining Models:
Iterating and refining models based on training results.
Module 4: Integrate AI into Power Apps
AI Integration:
Adding AI models into Power Apps for enhanced functionality.
Using AI Builder models in forms, galleries, and workflows.
Automation with AI:
Automating actions based on AI-driven insights and predictions.
Trustpilot
What Our Learners Are Saying
The training, courseware, and lab experience were insightful and valuable. Keep up the great work and
learning experience!
Nitish A. Anand – Accenture
Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025
The instructor was professional and very content.
Justine Daudi Mlimbilah – Bank of Africa, Tanzania
Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024
The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these
days. So appreciative to him.”
Mohd. Hassan – Ministry of Finance, UAE
Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024
Instructor is experienced and knowledgeable in guiding.
Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India
Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024
