Module 1: Introduction to Intelligent Applications on Microsoft Power Platform

Topics

• Understand what makes an application “intelligent.”
• Explore AI-first, agent-first, and automation-first solution patterns.
• Review how Power Apps, Power Automate, Dataverse, Power Pages, Copilot Studio, and Power BI work together.
• Identify business scenarios where copilots, agents, prompts, and AI models improve outcomes.
• Map business needs to Power Platform solution components.

Support Statements

• Students learn how intelligent apps combine data, automation, AI, and user experience into one business solution.
• This module establishes the relationship between apps, agents, workflows, prompts, and analytics.
• Learners begin thinking like AI-enabled business solution builders rather than traditional app makers.

Hands-On Lab

• Analyze a business scenario and identify the required app, automation, AI, data, and reporting components.

Module 2: Design Power Platform Solutions Using AI-Enabled Tools

Topics

• Analyze requirements and recommend implementation options.
• Evaluate when to use canvas apps, model-driven apps, Power Pages, agents, or automation.
• Recommend extensibility options for business applications.
• Select the appropriate environment type.
• Apply solution management, ALM, and deployment strategy.

Support Statements

• Microsoft’s exam guide includes analyzing requirements, evaluating built-in agents, recommending extensibility, selecting environments, and applying ALM strategy as part of the intelligent application foundation.
• Students learn how to translate business problems into Power Platform design decisions.
• The module reinforces Dynamics Edge’s business-first approach: design the process before building the technology.

Hands-On Lab

• Create a solution design blueprint for an AI-enhanced business application.

Module 3: Build Dataverse Data Models for Intelligent Applications

Topics

• Create and edit Dataverse tables.
• Modify standard tables and configure table properties.
• Create columns, relationships, views, and forms.
• Configure prompt columns and row summaries.
• Apply table-level and row-level security.

Support Statements

• Dataverse is the core business data platform for intelligent Power Platform applications.
• Students learn how AI-enhanced applications depend on clean, secure, well-modeled business data.
• The module connects data modeling to app behavior, prompts, agents, dashboards, and automation.

Hands-On Lab

• Build a Dataverse data model for a business request management or customer service scenario.

Module 4: Create Model-Driven Apps with AI-Enhanced Experiences

Topics

• Create and configure forms for model-driven apps.
• Create and configure views for business users.
• Generate app pages using natural language.
• Compose a model-driven app from Dataverse tables.
• Configure charts, dashboards, forms, and role-based access.

Support Statements

• Microsoft includes forms, views, generative pages, app composition, access control, charts, and dashboards in the AB-410 model-driven app skills area.
• Students learn how model-driven apps support structured, process-heavy business scenarios.
• AI-assisted design helps accelerate application creation while maintaining data and security discipline.

Hands-On Lab

• Build a model-driven app for managing cases, requests, approvals, or customer interactions.

Module 5: Create Canvas Apps Using Data, AI, and Copilot Capabilities

Topics

• Create a canvas app from Dataverse or other data sources.
• Design responsive and accessible app screens.
• Use Power Fx, variables, collections, and named formulas.
• Implement reusable components and component libraries.
• Test and troubleshoot canvas apps using Monitor.

Support Statements

• Canvas apps give organizations highly tailored user experiences for role-based business processes.
• Students learn how to build apps that are usable, accessible, responsive, and integrated with automation.
• The module introduces practical app-building techniques needed for intelligent application delivery.

Hands-On Lab

• Build a canvas app that captures user requests, displays intelligent recommendations, and triggers automation.

Module 6: Connect Canvas Apps to Copilot Studio Agents

Topics

• Understand how agents enhance application experiences.
• Create or connect a Copilot Studio agent from a canvas app.
• Identify when an agent should answer questions, guide users, or trigger actions.
• Connect agent conversations to business data and workflows.
• Design agent-assisted user experiences for real business processes.

Support Statements

• The AB-410 guide specifically includes creating a Copilot Studio agent from a canvas app.
• Students learn how agents can move apps beyond static forms and screens.
• The module shows how conversational AI can help users navigate processes, retrieve information, and complete work faster.

Hands-On Lab

• Add an agent-assisted experience to a canvas app for guided intake, support, or request triage.

Module 7: Build Cloud Flows for Intelligent Business Automation

Topics

• Recommend cloud flow triggers.
• Evaluate and recommend connectors.
• Configure cloud flow actions.
• Implement conditions, loops, approvals, and notifications.
• Test and troubleshoot cloud flows.

Support Statements

• Microsoft gives business application logic and automation the largest weighting in the AB-410 skills outline, at 40–45% of the exam coverage.
• Students learn how automation connects apps, data, approvals, AI, and business outcomes.
• This module focuses on turning business rules into repeatable digital workflows.

Hands-On Lab

• Build a cloud flow that routes a request, performs checks, sends approvals, and updates Dataverse records.

Module 8: Create Prompts and Use AI Hub in Apps and Flows

Topics

• Build prompts from templates or from blank.
• Add inputs and knowledge to prompts.
• Customize prompt settings and model behavior.
• Consume prompts in Power Apps.
• Consume prompts in Power Automate cloud flows.

Support Statements

• Microsoft’s AB-410 guide includes creating prompts and models in AI Hub, consuming prompts in apps and flows, adding knowledge, configuring model settings, and using prompt inputs.
• Students learn how prompts can summarize records, classify requests, generate responses, and recommend next actions.
• The module helps learners apply generative AI safely and practically inside business applications.

Hands-On Lab

• Create a prompt that summarizes a Dataverse record and recommends a next action inside an app or flow.

Module 9: Use AI Models in Power Apps and Power Automate

Topics

• Understand common AI model use cases.
• Consume AI models inside Power Apps.
• Consume AI models inside Power Automate.
• Combine AI outputs with business rules and Dataverse updates.
• Validate model results before using them in business processes.

Support Statements

• AI models can help classify data, extract information, summarize content, and improve decision support.
• Students learn how to embed AI into operational workflows instead of treating it as a standalone tool.
• This module reinforces responsible use by validating AI output before applying business actions.

Hands-On Lab

• Add an AI model to classify or summarize a business request and trigger the correct workflow path.

Module 10: Implement Business Rules, Process Logic, and Formula Columns

Topics

• Configure business rules.
• Configure business process flows.
• Create calculated columns.
• Create rollup columns.
• Use formula columns to support business logic.

Support Statements

• Microsoft includes business rules, business process flows, calculated columns, rollup columns, formula columns, and logic evaluation in the AB-410 automation skill area.
• Students learn when to use app logic, Dataverse logic, flow logic, or AI-driven logic.
• The module helps learners design maintainable solutions that align with real business processes.

Hands-On Lab

• Configure business rules and process logic for a request lifecycle, approval workflow, or service case process.

Module 11: Build Intelligent Power Pages Experiences

Topics

• Understand when to use Power Pages for external-facing applications.
• Connect Power Pages to Dataverse data.
• Apply identity, authentication, and access patterns.
• Use AI-enabled experiences to improve self-service.
• Design secure external portals for customers, partners, or citizens.

Support Statements

• Microsoft identifies Power Pages as part of the product scope for AB-410T00.
• Students learn how intelligent applications can extend beyond internal users.
• The module supports real-world scenarios such as customer portals, vendor onboarding, case intake, and citizen services.

Hands-On Lab

• Design a Power Pages self-service portal concept connected to Dataverse and supported by automation or AI.

Module 12: Add Power BI and Decision Support to Intelligent Applications

Topics

• Understand how Power BI supports intelligent application scenarios.
• Create dashboards and visualizations for app-driven processes.
• Use Dataverse data for operational reporting.
• Identify KPIs that measure automation and AI impact.
• Embed insights into user workflows and decision points.

Support Statements

• Microsoft lists Power BI as part of the AB-410T00 product scope.
• Students learn how intelligent apps should not only automate work but also improve visibility and decision-making.
• The module connects app usage, process performance, AI outcomes, and executive reporting.

Hands-On Lab

• Define a dashboard for tracking requests, cycle time, approval performance, and AI-assisted outcomes.

Module 13: Governance, Security, Responsible AI, and ALM

Topics

• Apply environment and security governance.
• Understand roles, policies, identity, and authentication.
• Manage solutions and pipelines.
• Monitor application performance and usage.
• Apply responsible AI principles for business solutions.

Support Statements

• Microsoft’s AB-410 audience profile highlights collaboration with environment administrators, security administrators, governance teams, ALM teams, and responsible AI stakeholders.
• Students learn how to build intelligent applications that are secure, manageable, and production-ready.
• This module helps organizations avoid unmanaged AI sprawl and low-code application risk.

Hands-On Lab

• Create a governance checklist for deploying an intelligent Power Platform application.

Module 14: Capstone Lab — Build an End-to-End Intelligent Business Application

Topics

• Analyze a real-world business scenario.
• Build a Dataverse data model.
• Create a model-driven or canvas app.
• Add automation, prompts, AI models, and agent-assisted experiences.
• Prepare the solution for deployment, governance, and adoption.

Support Statements

• The capstone brings together the full AB-410 skill set: data, apps, automation, AI, agents, governance, and user experience.
• Students practice building a complete business solution instead of isolated Power Platform components.
• The final lab mirrors real consulting and implementation work performed in enterprise Power Platform projects.

Hands-On Lab

• Build and present an intelligent application prototype for a business process such as service intake, HR request management, sales support, field operations, procurement intake, or customer onboarding.

Suggested 3-Day Delivery Plan

Day 1 — Intelligent App Foundation

• Module 1: Introduction to Intelligent Applications
• Module 2: Design Power Platform Solutions Using AI-Enabled Tools
• Module 3: Build Dataverse Data Models
• Module 4: Create Model-Driven Apps

Day 2 — Apps, Agents, and User Experience

• Module 5: Create Canvas Apps
• Module 6: Connect Canvas Apps to Copilot Studio Agents
• Module 11: Build Intelligent Power Pages Experiences
• Module 12: Add Power BI and Decision Support

Day 3 — Automation, AI Hub, Governance, and Capstone

• Module 7: Build Cloud Flows
• Module 8: Create Prompts and Use AI Hub
• Module 9: Use AI Models in Apps and Flows
• Module 10: Implement Business and Process Logic
• Module 13: Governance, Security, Responsible AI, and ALM
• Module 14: Capstone Lab