AB-410: Building Intelligent Applications with Microsoft Power Platform

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Design the Contoso Service Hub solution with the Power Apps Plans experience, then build the Dataverse data model that every subsequent lesson relies on. Learners create a solution with a contoso publisher prefix, add the Account and Contact standard tables (pre-seeded with sample Contoso customers), build the custom contoso_case table with 11 columns (including an autonumber Case Number and a formula SLA Due), and configure the one-to-many relationships that chain Account → Case, Contact → Case, and User → Case. This is the schema baseline every subsequent lesson's env template rolls forward.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Add AI-powered Dataverse columns to the Contoso Service Hub Case table. Learners import the Lesson 2 schema solution to bootstrap the contoso_case table, then enable AI features on their per-student env, create two prompt columns (AI Summary + AI Suggested Priority) that run generative AI against row data on save, apply a Status filter so the summary skips closed cases, configure a Row Summary that renders a Copilot-generated at-a-glance paragraph on the Case main form (with LanguageCode input for multi-language users), and build a new contoso_faq table plus the many-to-many relationship contoso_case to contoso_faq. By the end of the lesson, opening any Case row shows an AI summary, a model-suggested priority, and a dedicated insights bar — plus FAQ articles can be associated with cases bidirectionally. Covers exam objectives Configure prompt columns and Configure row summaries, both weighted on the current AB-410 exam blueprint.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Lock down the Contoso Service Hub Case table with security roles that scope what agents and managers can do, then declaratively enforce business logic without writing code. Learners build two custom security roles (Contoso Service Agent at User scope, Contoso Service Manager at Organization scope with Assign + Share), add two business rules to contoso_case (Priority Critical requires Assigned Agent; Status Resolved auto-sets Resolved On to today), and finish with a rollup column on Account that counts open child cases. Covers exam objectives Configure security and Configure business rules + rollups — both weighted on the current AB-410 blueprint and not covered by the Microsoft AB-410T00 labs.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Compose the Contoso Service Hub Case table, Account, Contact, and the AI columns from Lesson 3 into a working model-driven app that agents and managers use day to day. Learners build the Contoso Customer Service model-driven app, customize the Case main form to surface AI Summary + AI Suggested Priority prompt columns and a Resolution tab, create two views (My Open Cases and Critical Cases), build two classic charts (Cases by Priority pie and Cases by Status bar), assemble a Service Agent Dashboard, and finish by sharing the app with the Contoso Service Agent and Contoso Service Manager roles from Lesson 4. Covers exam objectives Create model-driven apps, Configure forms and views, Create charts and dashboards, Configure app access.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build the Contoso Technician App — a phone-form canvas app that field technicians use to view and update service orders tied to open cases, with an AI-powered priority suggestion backed by a cloud flow. Learners create the contoso_serviceorder table, build List and Detail screens bound to it, author a SuggestPriorityFlow that calls AI Builder's text-generation prompt action to infer priority from on-site notes, wire the flow to a Suggest priority button on the Detail screen, and use the Copilot-in-formula-bar to generate Power Fx for the Save button. Covers exam objectives Create canvas apps using data, Automate business processes from canvas apps, Integrate AI prompts/models.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build the Contoso Employee Self-Service App — a responsive tablet-form canvas app that employees use to submit HR, IT, and facility requests, then track their own request history. The build teaches the modern canvas patterns the exam weighs: responsive containers, accessibility labels and tab order, named formulas (App.Formulas) for shared values, user-defined functions (App.Formulas with parameters), collections for client-side scratch state, and the Monitor tool to catch delegation warnings. Learners create the contoso_employeerequest table, build Submit + My Requests screens with responsive containers, define App.Formulas.CurrentUserDisplayName and an UrgencyColor UDF, pass an accessibility audit, and use Monitor to find and fix one delegation issue. Covers exam objectives Design apps for accessibility/performance/responsiveness, Create reusable components (named formulas + UDFs), Test canvas apps using Monitor.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build the Contoso Asset Request App alongside a reusable component library that every subsequent app can import. Learners create the contoso_assetrequest table, publish a Contoso Shared UI component library containing a branded header, a Status badge, and a confirmation dialog, build the Asset Request App Submit/My Requests/Approvals screens using those components, wrap all Patch calls in IfError + Notify error-handling patterns, and finish by swapping the shared Header into the Employee Self-Service App from Lesson 7 — proving library reuse. Covers exam objectives Create reusable components, Create component libraries, Implement error handling.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Capstone to the Create-intelligent-apps section — teach the student how to measure canvas app performance and systematically fix the common anti-patterns. Learners open the Service Request Tracking App from Lesson 6 in Monitor, identify slow Dataverse calls and non-delegable formulas, refactor one gallery filter to be delegable, capture a Monitor session from the published app, add Azure Application Insights telemetry via an instrumentation key, and submit a short written performance review that assesses what they changed and why. Covers exam objectives Test canvas apps using Monitor, Performance patterns, Instrument canvas apps with telemetry.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Shift from Power Apps to Power Automate. Build the first cloud flow of the course — a Case Created audit log that triggers when a contoso_case row is added, posts to a Teams channel, and extends to a condition (only post for High+ priority), a loop (iterate related service orders), and a run-history diagnostic (fix a deliberately broken OData filter). Covers exam objectives Recommend cloud flow triggers, Evaluate connectors, Configure actions, Implement conditions and loops, Test and troubleshoot flows.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build a reusable notification framework — a Notify Agent child flow that accepts an agent user ID, a case ID, and a preferred channel, then internally sends an email, a Teams DM, or both based on the channel parameter. The parent flow Case Assigned Notification fires on Assigned Agent change and invokes the child. Covers exam objectives Configure cloud flow actions, Recommend connectors, Child flow reuse patterns.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build the Asset Request Approval flow — automated trigger on contoso_assetrequest created, filtered to requests over $500, uses the Approvals connector with Approve/Reject Everyone must approve assigned to the requestor's manager and a Finance approver, Switch on outcome updates the request status and emails the requestor with the result. Covers exam objective Manage approvals by using cloud flows.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Build the customer onboarding automation and the Case Lifecycle Business Process Flow. The onboarding flow fires when a new Account is created, provisioning a placeholder Primary Contact, a welcome email, a Teams post, and a kickoff Case so the sales handoff to service is automatic. The Business Process Flow drives Case Lifecycle through five stages (Intake, Triage, In Progress, Resolution, Closed) with required fields per stage. Covers exam objectives Implement business and process logic via Business Process Flows and Configure cloud flow actions.

Note: This lab pre-provisions a Windows 11 VM and a per-student Power Platform environment at start — allow up to 15 minutes for the environment to become ready before beginning the exercises.

Shift from standalone prompt columns to a reusable AI Hub prompt library. Build a Case Summarization prompt grounded on contoso_case data, consume it from a model-driven app page via a cloud flow, and layer in prebuilt Sentiment Analysis that enriches new cases with a sentiment score. Covers exam objectives Create prompts and models in AI Hub, Build prompts from templates or blank, Consume a prompt in apps and cloud flows, Add knowledge to a prompt, Add inputs to a prompt, Consume an AI model.

Note: This lab pre-provisions a Windows 11 VM, a per-student Power Platform environment, and a per-student SharePoint site (with the Contoso-Invoices document library) at start — allow up to 15 minutes for the environment to become ready before beginning the exercises. Your Contoso Invoices site URL appears on the Environment tab under Lab Resources.

Automate invoice intake with the prebuilt Invoice Processing AI Builder model and layer in a custom document-processing model trained on Contoso's own Service Report PDF layout. Learners create the contoso_invoice table, build an Invoice Processing flow that triggers on new files in the per-student Contoso-Invoices SharePoint library, calls the prebuilt model, writes extracted fields to Dataverse, trains a custom document model on 5 sample Service Report PDFs, and chains the custom model after the prebuilt via vendor filter. Covers exam objectives Consume an AI model in cloud flows, Customize prompt settings (parallels model inputs), Add inputs to a prompt.