Learn how to integrate AI Builder into Microsoft Power Apps to build intelligent, automated, and data-driven apps without coding, using prebuilt and custom AI models.
Learn how to integrate AI Builder into Microsoft Power Apps to build intelligent, automated, and data-driven apps without coding, using prebuilt and custom AI models.
Level
Advanced
Duration
8 weeks
















At Jast Tech, the Microsoft Power Apps AI Builder course empowers learners to seamlessly incorporate artificial intelligence into business applications using Microsoft’s low-code platform. AI Builder, a component of the Power Platform, enables users to apply ready-to-use and custom AI models directly within Power Apps and Power Automate — without the need for extensive coding or data science expertise. Through this course, you’ll explore how to use models such as text recognition, object detection, form processing, prediction, and classification to automate processes, extract insights from data, and build smarter applications that solve real business problems. You will also learn how to connect AI Builder with Power Fx formulas, customize AI models to meet specific business needs, and integrate solutions with Dataverse and other data sources. Practical scenarios such as automating invoice extraction, sentiment analysis, and predictive analytics will give you hands-on experience. By the end of the program, you’ll confidently design, build, deploy, and optimize AI-driven applications that deliver measurable business value.
At Jast Tech, the Microsoft Power Apps AI Builder course empowers learners to seamlessly incorporate artificial intelligence into business applications using Microsoft’s low-code platform. AI Builder, a component of the Power Platform, enables users to apply ready-to-use and custom AI models directly within Power Apps and Power Automate — without the need for extensive coding or data science expertise. Through this course, you’ll explore how to use models such as text recognition, object detection, form processing, prediction, and classification to automate processes, extract insights from data, and build smarter applications that solve real business problems. You will also learn how to connect AI Builder with Power Fx formulas, customize AI models to meet specific business needs, and integrate solutions with Dataverse and other data sources. Practical scenarios such as automating invoice extraction, sentiment analysis, and predictive analytics will give you hands-on experience. By the end of the program, you’ll confidently design, build, deploy, and optimize AI-driven applications that deliver measurable business value.
Job Roles You Can Achieve
After completing this course
Introduction to Power Apps & AI Builder
Understand the Power Platform, Power Apps types (canvas and model-driven), and AI Builder fundamentals.
Setting Up Your Environment
Configure your workspace, environment variables, and prerequisites for AI Builder.
Prebuilt AI Models
Work with ready-to-use AI models in Power Apps and Automate to add intelligence quickly.
Custom AI Model Creation
Learn how to build, train, and test custom AI models tailored to business data.
Integrating AI Builder with Canvas Apps
Add AI capabilities directly into canvas apps using controls and logic.
Seven intentional milestones — from first session to dream job.
Hands-on experience with real-world scenarios designed for mastery.
AI-Driven Invoice Processing & Approval System
Customer Feedback Sentiment Analysis & Case Management System
Document Classification & Compliance Review System
Select a schedule that works best for you
Starts
23 May 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
25 May 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
30 May 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
01 Jun 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



Microsoft Power Apps AI Builder – Associate
SAA-C03
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
Curated questions with expert answers to help you ace your next interview.
1. What types of models are supported by AI Builder?
AI Builder supports prebuilt models (text, receipt, business card readers, sentiment, language detection) and custom models (object detection, form processing).
2. How do you use AI Builder in a canvas app?
Add the AI model as a data source or component and use controls or Power Fx formulas to integrate predictions into UI.
3. What licensing is required for AI Builder?
AI Builder requires appropriate Power Apps or Power Platform licensing; features might need additional AI credits depending on model usage.
4. Explain how prediction models work in AI Builder.
Prediction models analyze historical data to forecast outcomes or classify new data based on learned patterns.
5. How do you monitor AI Builder model performance?
Use model insights, performance logs, and testing feedback to evaluate accuracy and make necessary training refinements.
Support
Can't find what you're looking for? Reach out to our support team anytime.
Q1. What is AI Builder in Microsoft Power Apps?
AI Builder is a low-code, AI-powered capability in Power Apps and Power Automate that lets you use prebuilt and custom AI models to build intelligent applications without coding.
Q2. Do I need coding skills to use AI Builder?
No. AI Builder is designed for low-code/no-code use, enabling business users to implement AI without traditional coding skills.
Q3. What are prebuilt versus custom models?
Prebuilt models are ready to use for standard tasks like text recognition or sentiment analysis; custom models are trained with your own data for bespoke needs.
Q4. Can AI Builder models be used across apps and workflows?
Yes. AI Builder models integrate with Power Apps and Power Automate to provide AI insights within apps and automated business processes.
Q5. How do I measure the success of an AI model?
Success is measured using performance metrics (accuracy, recall, etc.), testing results, and real-world business outcomes from the app or workflow usage.
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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