Module 1: Get Started with AI-First Solutions in Microsoft Power Platform
This module introduces the AI-first mindset for building Power Platform solutions. Learners explore how AI, copilots, agents, and automation influence solution design and how to translate business ideas into structured Power Platform solutions.
Lessons
Design AI-powered business solutions with Microsoft Power Platform
- Explore the AI-first Power Platform
- Recommend Power Platform components for business scenarios
- Map business processes to AI-first solution patterns
- Explore extensibility options in Power Platform
- Identify built-in agents and when custom extensibility is needed
Create effective prompts for generative AI training tools
- Understand prompt-based generative AI models
- Define prompt engineering
- Identify types of prompt instructions
- Create clear, effective prompts
- Evaluate prompt clarity, context, and output format
Turn business ideas into Power Platform solutions with Plans
- Explore Plans and the AI agents that support them
- Create a plan and refine generated requirements
- Review the generated data model and technology proposal
- Build and manage solution components
- Create a plan from an existing solution
Module 2: Build Your Data Model with Microsoft Dataverse
This module focuses on creating the data foundation for intelligent apps. Learners design tables, columns, relationships, security roles, and business rules in Dataverse to support scalable and secure business applications.
Lessons
Create tables in Dataverse
- Understand Dataverse tables and table characteristics
- Compare dual-write and virtual tables
- Create Dataverse tables
- Import data into Dataverse
- Create table relationships
- Apply Dataverse logic, security, and auditing
Create and manage columns within a table in Dataverse
- Define columns and column types
- Add columns to tables
- Work with Prompt columns and row summaries
- Understand primary columns and column restrictions
- Create auto-numbering columns
- Create alternate keys
Get started with security roles in Dataverse
- Understand environment roles and user security roles
- Add or disable environment users
- Identify default security roles
- Create custom security roles
- Assign roles to tables and users
- Configure Dataverse teams and group teams for security
Define and create business rules in Dataverse
- Define business rules
- Identify the components of a business rule
- Create and manage business rules
- Use business rules to enforce consistent logic across apps
Module 3: Build Intelligent Apps and Portals with Microsoft Power Apps
This module teaches learners how to create user experiences with Power Apps and Power Pages. Learners build canvas apps, customize app behavior, publish and maintain apps, create model-driven apps, configure forms and dashboards, and build data-connected Power Pages sites.
Lessons
Get started with Power Apps canvas apps
- Describe canvas apps and how they differ from other Power Apps app types
- Navigate the Power Apps maker portal
- Connect apps to data sources
- Use gallery and form controls
- Build a canvas app from Excel
- Use Copilot to generate a canvas app from an uploaded file
Customize a canvas app in Power Apps
- Customize galleries and forms
- Create screen navigation
- Use Power Fx formulas
- Filter data and handle errors
- Add AI capabilities with Microsoft 365 Copilot controls
- Build reusable components and formulas
Publish, share, and maintain a canvas app
- Publish an app
- Share an app with users
- Maintain app versions
- Manage future iterations
- Apply application lifecycle management concepts
Get started with model-driven apps in Power Apps
- Understand model-driven app design
- Identify model-driven app components
- Create a model-driven app
- Build pages with generative AI
- Control security when sharing apps
- Add business process flows, Power Fx logic, Copilot chat, and agents
Configure forms, charts, and dashboards in model-driven apps
- Configure forms and form elements
- Use specialized form components
- Use editable grids
- Configure views
- Configure charts and dashboards
- Extend model-driven apps with custom pages
Core components of Power Pages
- Identify Power Pages capabilities
- Review the site provisioning process
- Explore Power Pages tools and components
- Understand Power Pages security and extensibility
- Control access to site content and Dataverse data
Explore Power Pages design studio
- Use Power Pages design studio
- Work with pages, components, styling, and templates
- Configure site security
- Add custom HTML, CSS, or code
- Add AI-powered features, including Copilot and agents
Module 4: Automate and Extend Your Solutions with AI in Microsoft Power Automate
This module shows learners how to automate business processes using Power Automate, Dataverse, approvals, and AI Builder grounded prompts. Learners create cloud flows, connect automation to Dataverse, route approval decisions, and add generative AI responses grounded in business data.
Lessons
Get started with Power Automate
- Create cloud flows
- Create recurring flows
- Monitor incoming emails
- Share flows
- Troubleshoot flows
- Convert a flow to an agent flow
Use Dataverse triggers and actions in Power Automate
- Use Dataverse triggers
- Query Dataverse data
- Create, update, delete, and relate records
- Build cloud flows with the Dataverse connector
Build approval flows with Power Automate
- Create approval requests
- Process approvals
- Build recurring approval flows
- Create business process flows
- Add conditions to business process flows
Create AI Builder prompts using your own Dataverse data
- Create grounded prompts in AI Builder
- Use grounded prompts in Power Automate cloud flows
- Use grounded prompts in canvas apps
- Use grounded prompts in custom copilots
- Test, publish, and provide feedback on prompts
