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CoursesPower Platform
Microsoft Power Apps AI Builder
Power Platform

Microsoft Power Apps AI Builder

Learn how to use Microsoft Power Apps AI Builder to make smart business apps that use AI to give you insights. Find out how to automate tasks, make better decisions, and create smart apps without writing code.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About Microsoft Power Apps AI Builder

With Microsoft Power Apps AI Builder training by Techpratham, you can add AI to your business apps without having to write any code. Learn how to use AI-driven insights to make predictive models, automate workflows, and improve customer experiences. This course is great for professionals who want to use Power Platform to turn data into smart, scalable solutions.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Microsoft Power Apps AI Builder Course Curriculum

Introduction to AI Builder

A look at the features of AI Builder, how to use it, and how it works with Power Platform.

AI Builder overview – capabilities, benefits, licensing
Business scenarios – automation, predictions, insights
AI models – prebuilt, custom models
Integration – Power Apps, Power Automate

Overview of AI Builder

What is AI Builder? How does it add AI capabilities without requiring extensive knowledge of AI/ML

Prebuilt vs Custom AI models
AI Builder in Power Apps & Power Automate
Licensing / prerequisites (Dataverse, AI Builder add-on)
Regions & components available
Responsible AI / constraints

Prebuilt AI Models

enhancing apps rapidly by using Microsoft's pre-made models.

Sentiment analysis, key phrase extraction, language detection, entity extraction
Text recognition (OCR), receipt / business card / ID reader
Using model components in Canvas apps and Model Driven apps
Embedding AI models in formula / Power Fx
Use-cases & demos

Custom AI Models

When prebuilt models are insufficient, create your own model to meet particular business requirements.

Types: Form processing, Object detection, Category/classification, Prediction models
Data collection, labeling, training, validation
Performance considerations & testing
Versioning and maintaining custom models

Integrating AI Builder into Power Apps

How to use these models in actual Power Apps applications.

Adding AI Builder components to Canvas apps
Using AI models inside Model-Driven apps
Using Power Fx expressions with AI models
UI/UX design for AI features (feedback loops, error handling)
Working with Dataverse and other data sources

Power Automate + AI Builder

AI and flows (automation) are used to automate business-process tasks.

Triggering flows with AI models
Document processing in flows
Integrating text-analysis models in automations
Handling outputs & errors, routing results
Real world scenarios (e.g. invoice processing, support ticket triage)

Case studies & Hands-On Projects

using what has been learned to create practical business cases or applications.

Invoice/document processing
Business card scanning/contact capture app
Image/object detection in a catalogue
Text classification for feedback or support
Sentiment analysis dashboard
Capstone: end-to-end solution combining Canvas app, AI model, automation, Dataverse, UI

Governance, Security & Best Practices

Things to think about when using AI Builder in a production setting.

Data privacy, security, compliance
Managing model performance and biases
Monitoring & logging usage, costs
Version control, reuse of models
Performance optimization (latency, resource usage)
Handling errors and exceptions

Advanced Topics & New features

observing the most recent developments and cutting-edge applications.

Using Power Fx with AI models (preview features, formula approach)
Copilot & Prompt builder integration
Generative AI templates/custom models
Agents / AI assistants in Power Apps or Power Platform
Integrating Azure AI / Cognitive Services where needed
Multilingual support, scaling across regions

Introduction to Power Platform & Power Apps

An explanation of the Power Platform and the functions of Power Apps in the low-code/no-code realm.

What is Power Platform & components
Types of Power Apps (Canvas vs Model-Driven vs Portals)
Dataverse basics (tables, relationships, business rules)
User interface of Power Apps Studio

Power Platform Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

HD

Upcoming Batches

Can't find a batch you were looking for?

Who Should Take Microsoft Power Apps AI Builder

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

Microsoft Power Apps AI Builder

KPMG

KPMGFinancial Risk Insight Hub


Scenario: Developed Power BI analytics solution to monitor audit risk metrics financial variance trends compliance indicators and executive dashboards.

Live Work:

  • Built star schema data model
  • Created DAX risk measures
  • Published secure dashboards
Outcome: Improved financial risk visibility
Tata Consultancy Services

Tata Consultancy ServicesEnterprise Data Vision Grid


Scenario: Implemented Power BI reporting platform integrating multi client ERP CRM and finance data enabling real time insights and KPI tracking.

Live Work:

  • Designed ETL in Power Query
  • Developed advanced DAX KPIs
  • Automated report refresh cycles
Outcome: Enhanced enterprise data accuracy
Deloitte

DeloitteStrategic Performance Portal


Scenario: Built Power BI dashboards to analyze consulting project margins utilization rates forecast revenue and client engagement performance.

Live Work:

  • Modeled project fact tables
  • Created revenue forecasting DAX
  • Implemented row level security
Outcome: Optimized consulting performance
Accenture

AccentureDigital Operations Dashboard


Scenario: Designed Power BI analytics framework consolidating supply chain HR and finance data delivering interactive executive insights.

Live Work:

  • Integrated Azure data sources
  • Built interactive drill reports
  • Configured workspace security
Outcome: Strengthened operational decisions
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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is Microsoft Power Apps AI Builder?

What is AI Builder?

Do I need coding knowledge to learn Power Apps and AI Builder?

Who should attend this course?

What are the prerequisites?

What skills will I gain after this training?

Industry-Recognized Certification

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