Microsoft Power Platform Fundamentals Pl-900 Certification

Learn Power Apps, Power Automate, Power BI, the AI Builder and the Dataverse (CDS) - for Microsoft's PL-900 exam.

What you'll learn

Describe the business value of Microsoft's Power Platform

Identify the Core Components of Power Platform, including Dataverse (CDS), Connectors and AI Builder

Become a Power Platform champion

Get the PL-900 certification

Requirements

You need to know how to use a computer, and hopefully know how to use a spreadsheet.

No prior knowledge of Microsoft's Power Platform or any of its apps are required

Description

We'll look at Power Apps. We'll get a free Developer edition and or free trial of Power Apps, and get some sample data using the Dataverse (previously known as the Common Data Service). We'll then create each of the three different types of Power Apps: Canvas, model-driven, and portals while looking at the various types of connectors you can use to connect to different data sources.Next up is Power Automate. Using our free Developer edition, we'll create several automated flows, and the different triggers and actions you can use.The next app is Power Virtual Agents. We'll create a basic chatbot that can ask and answer a few questions. We'll then see how you can find out how well it is performing.We will have a brief look at the AI Builder, and how models such as the business card reader, object detection model, form processing model, and prediction model can be integrated into Power Apps and Power Automate.We'll finish off by looking at how Power Platform can extend other business solutions, and some Power Platform administration and security.This course will teach you how to leverage Power Platform to simplify the process of creating business apps, analyze data, automate business workflows, and implement chatbots and artificial intelligence solutions to fill their business needs.

Overview

Section 1: Section 1 : Overview of Power Platform

Lecture 1 Power Platform as a Service

Lecture 2 Administration and Security on Power Platform

Lecture 3 Governance and Compliance on Power Platform

Section 2: Section 4 : Leveraging Power BI to Get Insights from Your Data and Business

Lecture 4 Introduction

Lecture 5 Understand Power BI

Lecture 6 How to Start Getting Insights

Lecture 7 Quick Recap

Section 3: Section 5 : Leveraging Power Virtual Agent to Build Intelligent Chatbots

Lecture 8 Understand Power Virtual Agents

Lecture 9 How to Start Building Your Bots

Lecture 10 Summary

Section 4: Section 1 : Introduction to the Core Power Platform Components

Lecture 12 01 The Core Power Platform Components

Lecture 13 02 Section Conclusion

Section 5: Section 2 : Understanding Connectors

Lecture 14 Section Introduction

Lecture 15 Introduction to Connectors

Lecture 16 Triggers and Actions

Lecture 17 Use Case for Custom Connectors

Lecture 18 Section Conclusion

Section 6: Section 3 : Understanding Microsoft Dataverse

Lecture 19 Dataverse Introduction

Lecture 20 02 Tables, Columns and RelationShips

Lecture 21 03 Business Rules in Power Platfrom

Lecture 22 04 Environments in Power Platform

Lecture 23 05 Common Data Modle

Lecture 24 06 Conclusion of Dataverse Section

Section 7: Section 4 : Understanding the AI Builder

Lecture 25 01 AI Builder

Lecture 26 02 Introduction to AI Builder

Lecture 27 04 Getting Sample Data

Lecture 28 05 Section Conclusion

Lecture 29 PART 2 : Core Components of Power Platform Conclusion

Section 8: Section 1 : Business Value of Power BI

Lecture 30 Section Introduction

Lecture 31 Project Introduction

Lecture 32 Power BI Primer

Lecture 33 Power BI Desktop Interface

Lecture 34 Power BI Editor: An Important Component

Lecture 35 Data View: Connect & Load Data

Lecture 36 Power BI Editor: Data Transformation at Row Levell

Lecture 37 Power BI Editor: Data Transformation at Column Level

Lecture 38 Power BI Editor: Append and Merge Data

Lecture 39 Power BI Editor: Pivot and UnPivot Data

Lecture 40 Summary

Section 9: Power Platform Getting Stared

Lecture 41 Creating A Canvas App From Data Source

Lecture 42 Creating An Environment and Data Policy

Lecture 43 Creating A Table in DataVerse

Lecture 44 Creating Our First Flow

Lecture 45 Running and Testing our flow

This course is for you if you want to understand what is available on Microsoft's Power Platform.