This course teaches learners how to design and build intelligent applications on the Microsoft Power Platform by using AI, copilots, and agents to solve real business problems. Learners explore how Power Apps, Power Automate, Power Pages, Copilot Studio, and AI-enabled capabilities work together to create agent-first, AI-enhanced solutions that improve productivity, decision-making, and user experience.
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Course Outline
1. Design AI-powered business solutions with Microsoft Power Platform
• Explore the AI-first Power Platform
• Recommend Power Platform components for business solutions
• Map business processes to AI-first solution patterns
• Explore extensibility options in Power Platform
2. Create effective prompts for generative AI training tools
• Prompt-based generative AI model
• What is prompt engineering?
• Identify the types of prompt instructions
• Create effective prompts
3. Turn business ideas into Power Platform solutions with Plans
• Explore plans and the AI agents that power them
• Create a plan and refine the requirements
• Review the data model and technology proposal
• Build and manage your solution
• Create a plan from an existing solution
4. Create tables in Dataverse
• Introduction to Microsoft Dataverse
• Table characteristics
• Dual-write vs. virtual tables
• Table relationships
• Dataverse logic and security
• Dataverse auditing
5. Create and manage columns within a table in Dataverse
• Define columns in Microsoft Dataverse
• Column types in Microsoft Dataverse
• Add a column to a table
• Work with Prompt columns and row summaries
• Primary column
• Restrictions that apply to columns in a table
• Create an auto numbering column
• Create an alternate key
6. Get started with security roles in Dataverse
• Introduction to environment roles
• Understand environment roles
• Adding or disabling an environment user
• Understand user security roles and security role defaults
• Check the roles that a user belongs to
• Configure Dataverse teams for security
• Configure Dataverse group teams for security
7. Get started with Power Apps canvas apps
• Introduction to Power Apps
• Start Power Apps
• Power Apps data sources
• Use Power Apps with Power Automate and Power BI
• Designing a Power Apps app
8. Customize a canvas app in Power Apps
• Improve your app by making basic customizations
• Explore controls and screens in canvas apps
• Apply Power Fx formulas to canvas app controls
• Work with Power Fx formulas in canvas apps
• Create screen navigation in a canvas app
• Build reusable components and formulas in canvas apps
9. Publish, share, and maintain a canvas app
• Publish your app
• Share your app
• Maintain your app
• Application lifecycle management
10. Get started with model-driven apps in Power Apps
• Introducing model-driven apps
• Components of model-driven apps
• Design model-driven apps
• Build pages with generative AI
• Incorporate business process flows
• Add logic to commands with Power Fx
• Enable Copilot chat for app users
• Add agents to your model-driven app
11. Configure forms, charts, and dashboards in model-driven apps
• Forms overview
• Form elements
• Configure multiple forms
• Use specialized form components
• Extend model-driven apps with custom pages
• Configure views overview
• Configure charts overview
12. Core components of Power Pages
• Introduction to Power Pages
• Get started with Power Pages
• Core tools and components of Power Pages
• Overview of Power Pages security
• Overview of Power Pages extensibility
13. Explore Power Pages design studio
• Introduction to Power Pages design studio
• Work with pages
• Page components
• Site styling and templates
• Secure your Power Pages site
• Add an AI-powered agent to your site
14. Get started with Power Automate
• Introducing Power Automate
• Create a cloud flow
• Troubleshoot flows
• Convert a flow to an agent flow
15. Use Dataverse triggers and actions in Power Automate
• Dataverse triggers
• Query data
• Create, update, delete, and relate actions
16. Build approval flows with Power Automate
• Introduction to approval flows
• Build an approval request
• Create a business process flow
• Create a business process flow with conditions
17. Create AI Builder prompts using your own Dataverse data
• Use a grounded prompt in a cloud flow
• Use a grounded prompt in a canvas app
• Use a grounded prompt in a custom copilot
Course Details
• Basic familiarity with Microsoft Power Platform
• Completion of the Get started with AI-first solutions in Microsoft Power Platform learning path, or equivalent experience with Microsoft Power Platform
• Access to a Power Apps environment with a Dataverse database
• Completion of the Design AI-first solutions with Microsoft Power Platform learning path, or equivalent experience with Dataverse tables and columns
• Completion of the Build your data model with Microsoft Dataverse learning path, or equivalent experience with Dataverse
• A Power Automate account
This course is designed for individuals who want to learn how to build intelligent applications using the Microsoft Power Platform and are new to using AI, copilots, and agents in solution design. It is ideal for learners with a general understanding of business processes or app building who want to develop the skills to analyze requirements, select appropriate Power Platform components, and create AI-enhanced solutions. The course introduces how AI and agents can improve application behavior, automation, and user experience, while also building awareness of governance and responsible use as learners begin their journey into intelligent app development.
For online (live) format
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