Extend Microsoft Power Platform Solutions with Code and AI (AB-400)

Extend Microsoft Power Platform solutions with custom code and AI to build modern business applications. Explore advanced extensibility and customization, Power Apps code apps, and the integration of Microsoft Foundry and Copilot Studio agents. Apply core Power Platform development skills alongside AI-powered application development patterns to create connected, intelligent solutions.

Audience Profile

This course is designed for Microsoft Power Platform developers who extend and customize business solutions with code and integrate AI capabilities into applications. It is intended for pro-developers building custom application experiences and agent integrations, including those preparing for Exam AB-400 toward the Microsoft Certified: Power Platform Developer Associate certification.

Prerequisites

Before attending, learners should have working experience with:
• Microsoft Power Platform services
• JavaScript, TypeScript, JSON, and Power Fx
• C#, Python, HTML, and YAML
• RESTful web APIs
• Microsoft Azure
• Microsoft Foundry
• Microsoft Copilot Studio
Course Outcomes
• Build secure and supportable Microsoft Power Platform solutions.
• Extend the user experience with code apps, client-side logic, and reusable components.
• Extend Microsoft Dataverse with plug-ins, APIs, and Azure compute.
• Build resilient automation and integrate code-first and Copilot Studio agents.

Course Outline

Learning Path 1: Design and Deliver Secure Power Platform Solutions
Module 1: Evaluate Microsoft Power Platform solution implementation options
• Analyze solution components and out-of-the-box fit
• Decide where business logic and data live
• Evaluate identity and security constraints
• Choose user experience and agent approaches
• Select component implementation approaches
Module 2: Design extensible Microsoft Power Platform solution components
• Design Power Apps and Dataverse code components
• Design connectors, MCP servers, and integrations
• Design automations, code app interfaces, and custom agents
• Design monitoring and alerting
• Make component design decisions
Module 3: Deliver Power Platform solutions through governed ALM
• Manage solution dependencies and solution layers
• Create and use environment variables
• Implement and extend Microsoft Power Platform Pipelines
• Create CI/CD automations by using Power Platform Build Tools
• Make ALM release decisions

Learning Path 2: Build Professional Power Apps Experiences
Module 1: Build Dataverse experiences with Power Apps code apps
• Configure a code app to use Dataverse tables
• Perform Dataverse actions and functions from a code app
• Use environment variables in a code app
Module 2: Connect Power Apps code apps to platform services
• Configure a code app to use Power Platform connections
• Perform table and metadata operations on Dataverse data
• Configure a code app to use cloud flows and Copilot Studio agents
Module 3: Deploy and operate secure Power Apps code apps
• Configure Content Security Policy settings for a code app
• Package, deploy, and share a code app
• Monitor and troubleshoot a code app
• Optimize code app performance and resource usage
• Interpret CSP and Monitor results
Module 4: Apply client-side logic in model-driven Power Apps
• Build code that targets the Client API object model
• Create client scripting that targets the Dataverse Web API
• Implement navigation, dialogs, and notifications
Module 5: Build reusable controls with Power Apps component framework
• Demonstrate the code component lifecycle and configure its manifest
• Implement component interfaces and platform features
• Package, deploy, and consume a component

Learning Path 3: Extend Dataverse with Code and Azure Compute
Module 1: Get started with Microsoft Power Platform development
• Map where extension code runs and how it starts
• Compare client and application extension options
• Compare server, cloud, connector, and agent extension options
• Package extensions in Power Platform solutions
Module 2: Implement business logic with Microsoft Dataverse plug-ins
• Demonstrate the different event execution pipeline stages
• Develop a plug-in that uses the execution context
• Implement business logic with images and the Organization service
• Register plug-in components by using the Plug-in Registration tool
Module 3: Harden Dataverse extensions for production workloads
• Optimize plug-in performance
• Configure a custom API and develop its plug-in
• Configure Dataverse business events
• Configure Microsoft Power Platform managed identity for plug-ins
• Interpret plug-in evidence
Module 4: Perform reliable operations with Microsoft Dataverse APIs
• Perform operations by using the Dataverse Web API
• Perform operations by using the Organization service
• Implement API limit retry policies
• Perform operations by using Dataverse SDKs for .NET and Python
Module 5: Diagnose advanced Microsoft Dataverse API failures
• Diagnose performance and service-protection failures
• Resolve concurrency and authentication issues
• Troubleshoot long-running Dataverse operations
Module 6: Process Power Platform workloads with Azure Functions
• Process long-running operations by using Azure Functions
• Implement scheduled and event-driven triggers
• Authenticate to Microsoft Power Platform by using managed identities

Learning Path 4: Build Automation and Agent Integrations
Module 1: Implement resilient Power Automate cloud-flow logic
• Implement complex expressions and error-handling flow control
• Configure trigger filters and retry policies
• Develop reusable logic by using child flows
• Implement Microsoft Entra ID service principals
Module 2: Consume Dataverse MCP servers from MCP clients
• Connect a supported MCP client to a Dataverse MCP server
• Inspect tools and invoke a Dataverse operation
• Apply the MCP server governance boundary
Module 3: Integrate custom agents with Microsoft Power Platform
• Integrate code-first agents with Power Platform data
• Connect custom agents, Copilot Studio agents, and applications