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 Duration 14 hours

Course Outline

Introduction

Overview of Microsoft Power Platform Capabilities

  • Core components of the Power Platform
  • Interoperability with Office 365, Dynamics 365, and external applications
  • Data sources and connectivity options

Onboarding to Microsoft Power Platform

  • Fundamentals of Microsoft Dataverse (formerly Common Data Service)
  • Data tables and column definitions
  • Entity relationships and environment management
  • Definition of business rules
  • Utilizing the Power Platform admin center

Developing Basic Applications with Power Apps

  • Linking standard data sources
  • Distinction between application types
  • No-code artificial intelligence (AI) capabilities
  • Features for security, governance, and reporting
  • Deployment of Power Apps Portals

Constructing Diverse Applications with Power Apps

  • Creation of a canvas app
  • Foundational elements and functions
  • Establishment of data source connections
  • Development of a model-driven app
  • Foundational components (data, user interface, logic, visualization)
  • Configuration of a form
  • Implementation of security and access control measures

Process Automation via Power Automate

  • Classification of flow types
  • Utilization of flow templates
  • Configuration of recurring flows
  • Setup of button-triggered flows
  • Management of approval requests
  • Definition of business process flows

Production of Reports and Dashboards using Power BI

  • Power BI architecture, concepts, and capacity models
  • Core components (workspaces, datasets, reports, dashboards)
  • Application of template apps
  • Visual data representation (charts, KPIs, maps, matrices, etc.)
  • Use of data filters and interactive buttons
  • Data transformation and cleansing procedures
  • Handling of aggregate data
  • Administrative security protocols
  • Construction of a foundational dashboard

Development of Chatbots with Power Virtual Agents

  • Identification of key components
  • Initialization of a chatbot
  • Management of conversation topics
  • Testing and publication procedures
  • Analytical review of chatbot performance

Examination of Advanced Power Platform Subjects

  • Administrative guidelines
  • Application lifecycle management strategies
  • Recommended best practices for Power Platform
  • Integration of AI Builder

Troubleshooting

Conclusion and Summary

Requirements

  • Proficient understanding of Microsoft Office 365 and Dynamics 365 operational concepts
  • Working knowledge of application development, workflow automation, and data analytics principles

Target Audience

  • Agency and business staff
  • Program managers and administrators
  • Software developers and engineers
  • Data analysts and researchers

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