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Microsoft Official Curriculum

Role-Based Certification PrepTrack: AB-410T00Official Source: Microsoft Learn
MicrosoftIntermediate

Build intelligent applications

This course teaches learners how to design and build intelligent applications on the Microsoft Power Platform by using AI, copilots, and agents to solve real business problems. Learners explore how Power Apps, Power Automate, Power Pages, Copilot Studio, and AI‑enabled capabilities work together to create agent‑first, AI‑enhanced solutions that improve productivity, decision‑making, and user experience.

Duration

3 days

Level

Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

Ideal for

Business AnalystCloudCertification ReadinessTailored Team Delivery

Audience Profile

Built for these roles

This course is designed for individuals who want to learn how to build intelligent applications using the Microsoft Power Platform and are new to using AI, copilots, and agents in solution design. It is ideal for learners with a general understanding of business processes or app building who want to develop the skills to analyze requirements, select appropriate Power Platform components, and create AI‑enhanced solutions. The course introduces how AI and agents can improve application behavior, automation, and user experience, while also building awareness of governance and responsible use as learners begin their journey into intelligent app development.

Overview

Executive overview

Official Microsoft Learn-aligned instructor-led program for Build intelligent applications.

Readiness

Prerequisites

  • Relevant foundational experience in the target technology area.
  • Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in cloud scenarios

Strengthen capability in power bi scenarios

Strengthen capability in role-based scenarios

Curriculum

Curriculum roadmap

1

Cloud

2

Power BI

3

Role-Based

1

Module 1

Get started with AI-first solutions in Microsoft Power Platform

+

Establish the AI-first mindset and foundational skills you need to build intelligent Power Platform solutions. Learn to apply AI-first design patterns with Copilot, master prompt engineering to work effectively with generative AI, and use AI-powered Plans to translate business ideas into structured solution blueprints.

  • Design AI-powered business solutions with Microsoft Power Platform
  • Create effective prompts for generative AI training tools
  • Turn business ideas into Power Platform solutions with Plans
2

Module 2

Build your data model with Microsoft Dataverse

+

Build the data foundation that intelligent Power Platform solutions are built on. Learn how Dataverse tables and columns work, how to model your business data, apply security roles to control access, and encode business logic directly into the data layer with business rules.

  • Create tables in Dataverse
  • Create and manage columns within a table in Dataverse
  • Get started with security roles in Dataverse
3

Module 3

Build intelligent apps and portals with Microsoft Power Apps

+

Build AI-ready apps and portals that surface intelligent, Dataverse-backed data. Create and customize canvas apps, configure model-driven apps for customer engagement, and build data-connected Power Pages portals for any audience.

  • Get started with Power Apps canvas apps
  • Customize a canvas app in Power Apps
  • Publish, share, and maintain a canvas app
  • Get started with model-driven apps in Power Apps
  • Configure forms, charts, and dashboards in model-driven apps
  • Core components of Power Pages
  • Explore Power Pages design studio
4

Module 4

Automate and extend your solutions with AI in Microsoft Power Automate

+

Wire your Power Platform solutions with intelligent automation and generative AI capabilities. Create event-driven cloud flows, connect automation directly to your Dataverse data model, build approval flows that route decisions to the right people — then extend your solutions further by generating natural language responses from your own business data with AI Builder grounded prompts.

  • Get started with Power Automate
  • Use Dataverse triggers and actions in Power Automate
  • Build approval flows with Power Automate
  • Create AI Builder prompts using your own Dataverse data

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Build intelligent applications using the official Microsoft Learn outline.

  • Align labs to your production environment and platform priorities
  • Add readiness reviews and instructor-led practice sessions
  • Extend into project-specific architecture or delivery coaching

Credentials

Certification & official source

  • AB-410T00

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Enterprise Proof

Trusted delivery outcomes

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services
We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.

VP of Technology

Large Healthcare Organization

Healthcare

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid