Get in Touch

Course Outline

Introduction

Overview of Microsoft Power Platform Features

  • Core components of the Power Platform
  • Integration with Office 365, Dynamics 365, and third-party applications
  • Data sources and connectors

Getting Started with the Microsoft Power Platform

  • Fundamentals of Microsoft Dataverse (formerly Common Data Service (CDS))
  • Tables and columns
  • Relationships and environments
  • Business rules
  • Power Platform admin center

Building Simple Applications with Power Apps

  • Connecting to common data sources
  • Various app types
  • No-code artificial intelligence (AI)
  • Security, governance, and reporting capabilities
  • Power Apps Portals

Creating Diverse Applications with Power Apps

  • Developing a canvas app
  • Basic elements and functions
  • Connecting to a data source
  • Creating a model-driven app
  • Building blocks (data, user interface, logic, visualization)
  • Creating a form
  • Security and access control

Automating Processes with Power Automate

  • Types of flows
  • Flow templates
  • Scheduled flows
  • Button flows
  • Approval requests
  • Business process flows

Generating Reports and Dashboards with Power BI

  • Power BI parts, concepts, and capacities
  • Components (workspaces, datasets, reports, dashboards)
  • Template apps
  • Visualizations (charts, KPIs, maps, matrices, etc.)
  • Data filters and buttons
  • Data transformation and cleaning
  • Working with aggregates
  • Security and administration
  • Constructing a simple dashboard

Creating Chatbots with Power Virtual Agents

  • Key components
  • Creating a chatbot
  • Managing topics
  • Testing and publishing
  • Analyzing a chatbot

Exploring Advanced Power Platform Topics

  • Administration guide
  • Application lifecycle management
  • Power Platform best practices
  • AI Builder

Troubleshooting

Summary and Conclusion

Requirements

  • A foundational understanding of Microsoft Office 365 and Dynamics 365 concepts
  • Familiarity with app development, workflow automation, and data analysis

Target Audience

  • Business staff
  • Managers
  • Developers
  • Data analysts
 14 Hours

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories