

Learners explore how Power Apps, Power Automate, Power Pages, Copilot Studio, and AI-powered features work together to develop agent-oriented, AI-powered solutions that improve productivity, decision-making, and the user experience.
1. Getting Started with AI-Driven Solutions in the Microsoft Power Platform
Before you start developing, you need developer like an AI-focused developer . This learning path will teach you the mindset, technical terminology, and tools you need to approach Power Platform solutions intelligently. You’ll explore AI-first design patterns and learn how Copilot features shape modern solution architecture. You’ll develop your prompt engineering skills to work effectively with generative AI tools. You’ll then apply these skills to AI-powered roadmaps that help you translate a business idea directly into a structured solution design—ensuring you move confidently from concept to implementation.
2. Create your data model using Microsoft Dataverse
Every smart app solution needs a solid data foundation. In this learning path, you’ll learn how to design and build that foundation in Microsoft Dataverse. First, you’ll learn how Dataverse works—its tables, columns, relationships, and built-in functions. Next, you’ll model your business data by creating tables and columns and configuring them to meet your organization’s requirements. Once your data structure is in place, you’ll assign security roles to control who can view which data and perform which actions. Finally, you’ll embed your business logic directly into the data layer using business rules—ensuring data integrity and consistency without having to write code.
3. Create smart apps and portals with Microsoft Power Apps
Once your data model is in place, it’s time to create the user interfaces that your users with. This learning path takes you from your first Canvas app to a fully configured model-driven app and a data-connected Power Pages portal—and introduces you to the full range of Power Apps interfaces for every audience and scenario. Whether you’re building an internal tool, a structured business application, or a publicly accessible website, every app you create here is designed to deliver intelligent, Dataverse-powered data.
4. Automate and expand your solutions with AI in Microsoft Power Automate
The best solutions handle routine tasks so your employees don't have employees . This learning path will give you the knowledge you need to connect your Power Platform solutions to intelligent automation using Microsoft Power Automate. You’ll create cloud flows that respond to events, use Dataverse triggers and actions to link automation directly to your data model, and build approval flows that route decisions to the right people at the right time. The learning path concludes by adding a layer of generative AI—using AI Builder-based prompts, you can query your own Dataverse data in natural language and display intelligent responses in your apps and flows.
Requirements:
This course consists of antraining is led by an instructor who provides live guidance to participants. Theory and practice are taught through live demonstrations and hands-on exercises. The course uses the video conferencing software Zoom.
This course is designed for individuals who want to learn how to develop intelligent applications using the Microsoft Power Platform and who have no prior experience with using AI, copilots, and agents in solution design. It is ideal for Learners general knowledge of business processes or app development who want to acquire the skills to analyze requirements, select appropriate Power Platform components, and build AI-powered solutions. The course teaches how AI and agents can enhance application behavior, automation, and the user experience, while also raising learners’ awareness of governance and responsible use as they begin their journey into intelligent app development.
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