Introduction to Microsoft Power Platform (PL-900T00)
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On-Site, Virtual
2 days
Learning Objectives
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Describe Microsoft Power Platform components
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Describe Microsoft Dataverse and connectors
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Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services
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Identify benefits and capabilities of Microsoft Power Platform
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Identify the basic functionality and business value Microsoft Power Platform components
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Implement simple solutions with Power Apps, Power Automate, and Power BI
Who Should Attend
This course is intended for those seeking to start their journey building solutions with Microsoft Power Platform.
This course helps learners understand how Microsoft Power Platform technologies can be used to develop tailored business solutions. It covers how to optimize the use of data by using Microsoft Dataverse and connectors and accelerate business outcomes by using Microsoft Power Apps for low code/no code solutions. Additionally, it covers how to improve processes by using Microsoft Power Automate, enable customer self-service by using Microsoft Power Pages, and boost productivity by using copilots.
Prerequisites
- none.
Course outline
Describe the business value of Microsoft Power Platform services
Describe Power Platform
Describe the business value of Power Platform
Describe connectors in Power Platform
Describe using Microsoft Dataverse to organize business data
Describe the value of Power Fx
Describe how Power Platform services work together
Describe the value of Copilots and generative AI features in Power Platform
Describe how to write effective prompts for Power Platform
How to integrate Microsoft Power Platform with Microsoft 365 and Teams
The features of Microsoft Copilot Studio and its functionality
Methods to integrate on-premises systems with Microsoft Power Platform
The basics of the Plan Designer in Power Apps
Describe Microsoft Dataverse
Describe Dataverse and its advantages over traditional databases
Describe tables, columns, rows, and relationships in Dataverse
Implement business logic in Dataverse
Create and refine Dataverse tables using Copilot
Describe data import and export options in Dataverse
Lab: Create and modify tables and columns by using conversations
Describe Microsoft Power Platform administration and governance
Describe the Power Platform security model
Describe Power Platform environments
Describe Power Platform administrative portals and experiences
Describe Application Lifecycle Management (ALM) in Power Platform
Demonstrate the capabilities of Microsoft Power Pages
Describe Power Pages use cases
Create and manage Power Platform sites using design studio and AI-powered Copilot
Describe the Power Pages security model
Create a Microsoft Power Pages site
Use Copilot for Power Pages site creation and refinement
Customize sites with Power Pages design studio
Manage tables, views, and forms in Power Pages Data workspace
Create, customize, and manage webpages with Power Pages design studio and AI-powered Copilot
Personalize Power Pages with themes, custom CSS, and custom templates
Implement security in Power Pages
Lab: Create a power page site
Identify basic Microsoft Power Apps capabilities
Describe Power apps and data integration
Describe canvas apps use cases
Describe model-driven apps use cases and core features
Choose between canvas and model-driven apps based on your business need
Build a canvas app
Choose and connect data sources for Power Apps canvas apps
Create canvas apps using Excel data
Describe and use controls
Build responsive layouts with containers
Build and edit Apps with Copilot
Integrate and customize Copilot controls
Automate business processes with Agent builder
Preview, test, and publish a canvas app
Manage and share canvas apps
Lab: Create a canvas app
Build a model-driven app
Describe the components of a model-driven app
Create a data model for a model-driven app using Microsoft Dataverse
Create and modify forms in model-driven app
Customize views in model-driven apps Build and customize a model-driven app using Power Apps
Describe role-based security and sharing in model-driven apps
Lab: Create a model-driven app
Identify Microsoft Power Automate components
Describe some use cases for Power Automate workflow automation
Describe process mining
Describe cloud flow templates
Describe triggers, actions, and connectors in Power Automate
Describe loops and branching in Power Automate cloud flows
Discuss approval actions
Describe the Power Automate home page, the Power Automate mobile app, and Copilot features
Describe the use of flow control actions in Power Automate for Desktop
Build a Microsoft Power Automate flow
Lab: Create a cloud flow using Copilot
