- Learn about Microsoft Power Platform and explore Power Apps, Power Automate, Power Pages, Dataverse, Copilot Studio, connectors, and Plan Designer. Discover how organizations use these products to solve real business problems. PL-900
In this module, you learn how to:
- Describe the value of Microsoft Power Apps to build applications.
- Describe the value of Microsoft Power Automate to automate processes.
- Describe the value of Microsoft Power Pages to build websites.
- Describe the value of Microsoft Dataverse to organize business data.
- Describe the value of Copilot Studio to create agents.
- Describe the value of copilots and generative AI features in Microsoft Power Platform.
- Describe the value of connectors to integrate services and data for apps and flows.
- Describe the value of Plan Designer.
- In this module, you explore Microsoft Dataverse as the intelligent data platform at the core of Microsoft Power Platform. You learn how Dataverse differs from traditional databases, how to work with its structural components, how to implement business logic, and how to use Copilot to build data models through natural language. PL-900
In this module, you learn how to:
Explain the core capabilities and business value of Microsoft Dataverse as a data platform for Power Platform solutions.
Identify and work with the structural components of Dataverse, including tables, columns, rows, and relationships.
Choose the right business logic approach—business rules, Power Fx, or Power Automate—for common data scenarios.
Describe how forms and views support data entry and data display in model-driven apps.
Use Copilot to create and refine Dataverse tables using natural language prompts.
- This module explores Microsoft Power Platform's governance and administration capabilities, including environments, the security model, data privacy and accessibility guidelines, monitoring and analytics, and application lifecycle management with Power Platform Pipelines. PL-900
In this module, you learn how to:
Describe Power Platform environments and the role they play in organizing and governing resources.
Describe the Microsoft Power Platform security model.
Describe how Microsoft Power Platform supports data privacy and accessibility guidelines.
Describe the monitoring and analytics capabilities of the Microsoft Power Platform.
Describe application lifecycle management with Power Platform Pipelines.
- Use Microsoft Power Apps and Copilot to build functional apps by describing what you need in plain language. Explore canvas, model-driven, and code apps, and walk through creating each type through conversations with Copilot. PL-900
In this module, you learn how to:
Describe the use cases and capabilities of canvas apps.
Describe the use cases and capabilities of model-driven apps.
Describe the use cases and capabilities of code apps.
Create a canvas app through conversations with Copilot.
Create a model-driven app through conversations with Copilot.
- Explore Power Automate's cloud flows, desktop flows, triggers, actions, and Copilot capabilities. Learn how to automate approvals, integrate with Microsoft 365 services, and build cloud flows using the designer. PL-900
In this module, you learn how to:
Describe use cases for cloud flows and desktop flows.
Describe Power Automate use cases for approvals, Microsoft Teams, Outlook, SharePoint, Forms, and document automation.
Describe triggers for cloud flows.
Describe actions for cloud flows.
Create and modify cloud flows through conversations with Copilot.
Create and modify desktop flows with Copilot.
Describe how to build cloud flows using the designer.
- Learn how Microsoft Copilot Studio enables organizations to build, deploy, and manage intelligent agents. Explore agent use cases, data handling, knowledge and tools configuration, MCP servers, analytics, agent flows, evaluations, and the development process.
After completing this module, you'll be able to:
- Identify common business use cases for conversational and autonomous agents.
- Explain how Copilot Studio handles organizational data securely.
- Describe the end-to-end data flow when a user interacts with a Copilot Studio agent.
- Describe how knowledge sources and tools extend agent capabilities.
- Explain how MCP servers connect agents to live enterprise data.
- Use built-in analytics to monitor agent performance and track adoption.
- Describe agent flows and when to use them for deterministic automation.
- Create and run agent evaluations using test sets to validate agent quality.
- Follow the recommended agent development process from design through deployment.
- Describe how to build an agent in Copilot Studio using natural language and the low-code canvas.
