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Overview

This course teaches learners how to design and build intelligent applications with Microsoft Power Platform. Learners explore how Power Apps, Power Automate, Power Pages, Dataverse, AI Builder, Copilot Studio, and AI-enabled capabilities work together to create practical, low-code solutions.

The course focuses on building AI-enhanced applications that respond to real organisational needs. Learners will explore app design, data modelling, automation, prompt engineering, approvals, governance, security, and responsible AI considerations. They will also learn how to use agents and copilots to improve productivity, streamline workflows, and create better user experiences across business applications.

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Prerequisites

Participants should have:

  • A basic understanding of business processes and digital workflows.
  • Familiarity with app concepts, data, or automation in Microsoft 365 or similar cloud-based tools.
  • Confidence using business applications and navigating online services.
  • No prior coding experience is required.
  • Familiarity with Microsoft Power Platform fundamentals, Power Apps, Power Automate, or Dataverse is helpful but not essential.

Target audience

This course is designed for learners who want to build intelligent applications using Microsoft Power Platform. It is suitable for app makers, business users, functional consultants, and early-stage Power Platform learners who want to use AI, copilots, agents, automation, and data-driven design to solve organisational challenges.

It is also relevant for learners who need to analyse requirements, choose suitable Power Platform components, and understand how AI-enhanced solutions can improve application behaviour, productivity, and user experience.

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Delegates will learn how to

By the end of this course, learners will be able to:

  • Describe how Microsoft Power Platform components support intelligent, AI-enhanced solutions.
  • Analyse business requirements and recommend appropriate tools, including Power Apps, Power Automate, Power Pages, Dataverse, and AI Builder.
  • Design and build canvas apps, model-driven apps, and low-code websites that use data effectively.
  • Create and manage automated workflows using Power Automate, including approvals and Dataverse actions.
  • Apply prompt engineering and grounded prompt techniques to improve AI-assisted interactions.
  • Explain governance, security, and responsible AI considerations for intelligent applications.
  • Use AI-enabled Power Platform capabilities to support more productive and user-focused solution design.

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Outline

Module 1: Design AI-powered business solutions with Microsoft Power Platform

Learners explore how AI is built into Power Platform and how its components can be combined to solve organisational problems. They will learn how to map requirements to solution patterns, recommend suitable tools, and identify opportunities for automation, agents, and extensibility.

Key topics include:

  • Exploring the AI-first Power Platform
  • Recommending Power Platform components for business solutions
  • Mapping business processes to AI-first solution patterns
  • Exploring extensibility options in Power Platform
  • Knowledge check and summary

Module 2: Create effective prompts for generative AI tools

Learners are introduced to prompt engineering and the core elements of effective prompts. They will explore how prompt structure, context, and instructions influence AI-generated responses.

Key topics include:

  • Prompt-based generative AI models
  • Prompt engineering concepts
  • Types of prompt instructions
  • Creating effective prompts
  • Module assessment and summary

Module 3: Turn business ideas into Power Platform solutions with Plans

Learners use Plans in Power Apps to describe a business problem in plain language and generate requirements, a data model, and a technology proposal. They will review how AI agents support early-stage solution design and help accelerate app development.

Key topics include:

  • Exploring Plans and the AI agents that support them
  • Creating a plan and refining requirements
  • Reviewing the data model and technology proposal
  • Building and managing a solution
  • Creating a plan from an existing solution
  • Knowledge check and summary

Module 4: Get started with Microsoft Dataverse

Learners explore how Dataverse securely stores and manages data for business applications. They will learn about tables, relationships, importing data, security, logic, and auditing.

Key topics include:

  • Introduction to Microsoft Dataverse
  • Table characteristics
  • Dual-write and virtual tables
  • Creating Dataverse tables
  • Importing data into Dataverse
  • Creating table relationships
  • Dataverse logic, security, and auditing
  • Knowledge check and summary

Module 5: Create and manage columns within a table in Dataverse

Learners develop the skills to create and manage columns in Dataverse tables. They will explore column types, prompt columns, primary columns, restrictions, auto numbering, and alternate keys.

Key topics include:

  • Defining columns in Microsoft Dataverse
  • Dataverse column types
  • Adding columns to tables
  • Working with prompt columns and row summaries
  • Understanding primary columns
  • Applying column restrictions
  • Creating auto numbering columns and alternate keys
  • Exercises, knowledge check, and summary

Module 6: Get started with security roles in Dataverse

Learners explore how security roles control user permissions in Dataverse environments. They will learn how to manage environment users, apply user security roles, and configure teams for secure access.

Key topics include:

  • Environment roles
  • Adding or disabling environment users
  • User security roles and role defaults
  • Creating custom roles
  • Checking user role membership
  • Configuring Dataverse teams and group teams
  • Knowledge check and summary

Module 7: Get started with Power Apps canvas apps

Learners are introduced to canvas apps in Power Apps. They will explore the maker portal, app controls, data sources, and how to create apps from data, including AI-assisted app creation.

Key topics include:

  • Introduction to Power Apps
  • Starting Power Apps
  • Creating a first app
  • Power Apps data sources
  • Creating an app from Excel using Copilot
  • Using Power Apps with Power Automate and Power BI
  • Designing a Power Apps app
  • Knowledge check and summary

Module 8: Customise a canvas app in Power Apps

Learners build on their canvas app knowledge by customising app appearance, behaviour, and navigation. They will use controls, screens, Power Fx formulas, reusable components, and AI capabilities.

Key topics include:

  • Making basic canvas app customisations
  • Working with controls and screens
  • Applying Power Fx formulas to controls
  • Using Power Fx formulas in canvas apps
  • Creating screen navigation
  • Building reusable components and formulas
  • Knowledge check and summary

Module 9: Publish, share, and maintain a canvas app

Learners explore how to move a canvas app from development to use. They will learn how to publish, share, maintain, and manage app versions using application lifecycle management concepts.

Key topics include:

  • Publishing an app
  • Sharing an app
  • Maintaining an app
  • Application lifecycle management
  • Knowledge check and summary

Module 10: Get started with model-driven apps in Power Apps

Learners explore model-driven app design and how dashboards, forms, views, charts, and Dataverse components shape the app experience. They will also examine generative AI, Copilot chat, and agents in model-driven apps.

Key topics include:

  • Introducing model-driven apps
  • Model-driven app components
  • Designing model-driven apps
  • Creating a model-driven app
  • Building pages with generative AI
  • Managing security when sharing model-driven apps
  • Incorporating business process flows
  • Adding logic to commands with Power Fx
  • Enabling Copilot chat and adding agents
  • Module assessment and summary

Module 11: Configure forms, charts, and dashboards in model-driven apps

Learners configure the visual and interactive components used in model-driven apps. They will work with forms, grids, views, charts, dashboards, and custom pages.

Key topics include:

  • Forms overview
  • Form elements and multiple forms
  • Specialised form components
  • Extending model-driven apps with custom pages
  • Views overview
  • Charts overview
  • Module assessment and summary

Module 12: Core components of Power Pages

Learners explore how Power Pages is used to create data-driven websites for external and internal audiences. They will learn how Power Pages works with Dataverse and review its core tools, security, and extensibility options.

Key topics include:

  • Introduction to Power Pages
  • Getting started with Power Pages
  • Core Power Pages tools and components
  • Power Pages security overview
  • Power Pages extensibility overview
  • Knowledge check and summary

Module 13: Explore Power Pages design studio

Learners use Power Pages design studio to build and manage websites. They will add pages and components, style sites, secure access, and use Copilot and AI-powered agents to support development and user experience.

Key topics include:

  • Introduction to Power Pages design studio
  • Working with pages
  • Page components
  • Site styling and templates
  • Securing a Power Pages site
  • Adding an AI-powered agent
  • Editing pages
  • Knowledge check and summary

Module 14: Get started with Power Automate

Learners are introduced to Power Automate and how it automates actions across apps and services. They will create, share, troubleshoot, and manage flows, including agent flow conversion.

Key topics include:

  • Introducing Power Automate
  • Creating a cloud flow
  • Creating recurring flows
  • Monitoring incoming emails
  • Sharing flows
  • Troubleshooting flows
  • Converting a flow to an agent flow
  • Module assessment and summary

Module 15: Use Dataverse triggers and actions in Power Automate

Learners explore how Dataverse triggers and actions are used to build automated flows. They will learn how to query data and create, update, delete, and relate records through the Dataverse connector.

Key topics include:

  • Dataverse triggers
  • Querying data
  • Create, update, delete, and relate actions
  • Creating a cloud flow with a Dataverse connector
  • Knowledge check and summary

Module 16: Build approval flows with Power Automate

Learners build approval flows that streamline processes and support consistent decision-making. They will create approval requests and business process flows with conditions.

Key topics include:

  • Introduction to approval flows
  • Building an approval request
  • Creating a business process flow
  • Creating a business process flow with conditions
  • Knowledge check and summary

Module 17: Create AI Builder prompts using your own Dataverse data

Learners create and use grounded prompts in AI Builder with their own Dataverse data. They will apply grounded prompts in cloud flows, canvas apps, and custom copilots to create more relevant AI-assisted experiences.

Key topics include:

  • Creating a grounded prompt in AI Builder
  • Using a grounded prompt in a cloud flow
  • Using a grounded prompt in a canvas app
  • Using a grounded prompt in a custom copilot
  • Knowledge check and summary

Exams and assessments

This course aligns with the objectives of the AB-410 exam, which is available separately.

Learners will complete knowledge checks, module assessments, demonstrations, and practical exercises throughout the course to reinforce key concepts. These activities help learners validate their understanding of Power Platform components, AI-enhanced design, automation, Dataverse, and responsible solution development.

Hands-on learning

This course includes practical activities that help learners apply concepts in realistic Power Platform scenarios. Learners will create apps, configure Dataverse tables, build flows, use AI Builder prompts, explore Power Pages design studio, and work with AI-assisted capabilities across the platform.

The course is delivered through a combination of presentation, demonstrations, guided practice, and hands-on labs.

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