Microsoft Power Platform Fundamentals PL-900 Certification

Microsoft Power Platform Fundamentals PL-900 Certification, available at $49.99, has an average rating of 4, with 83 lectures, based on 57 reviews, and has 169 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is for you if you want to understand what is available on Microsoft's Power Platform. It is particularly useful for This course is for you if you want to understand what is available on Microsoft's Power Platform.

Enroll now: Microsoft Power Platform Fundamentals PL-900 Certification

Summary

Title: Microsoft Power Platform Fundamentals PL-900 Certification

Price: $49.99

Average Rating: 4

Number of Lectures: 83

Number of Published Lectures: 82

Number of Curriculum Items: 83

Number of Published Curriculum Objects: 82

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 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

Lecture 4: Demo: Accessing Power Platform Admin Centre & Creating Data Policy

Chapter 2: Section 2 : Leveraging Power Apps to Build Enterprise-class Applications

Lecture 1: 06 Introducing to Power Apps Section

Lecture 2: 07 Understanding PowerApps

Lecture 3: 08 Connect your Data with PowerApps

Lecture 4: 09 How to Start Building PowerApps

Lecture 5: 010 Demo: Creating A Canvas App From Data Source

Chapter 3: Section 3 : Leveraging Power Automate to Automate Your Business Processes

Lecture 1: Introduction to Levaraging Power Automate

Lecture 2: What is Power Automate

Lecture 3: How to Start Building Flows

Lecture 4: Demo: Creating A Table in DataVerse

Lecture 5: Demo: Creating Our First Flow

Lecture 6: Demo: Running and Testing our flow

Lecture 7: Quick Recap of Power Automate

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

Lecture 1: Introduction

Lecture 2: Understand Power BI

Lecture 3: How to Start Getting Insights

Lecture 4: Quick Recap

Lecture 5: Creating Reports & Dashboard in Power BI

Lecture 6: Finding Report & Dashboard in Workspaces

Lecture 7: Sharing Dashboard With Other Team Members

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

Lecture 1: Understand Power Virtual Agents

Lecture 2: How to Start Building Your Bots

Lecture 3: Summary

Lecture 4: Creating A Chat Bot Using Power Virtual Agents

Lecture 5: Publishing & Testing Our Power Virtual Agent's Chat Bot

Chapter 6: Section 6 : Introduction to the Core Power Platform Components

Lecture 1: 01 The Core Power Platform Components

Lecture 2: 02 Section Conclusion

Chapter 7: Section 7 : Understanding Connectors

Lecture 1: Section Introduction

Lecture 2: Introduction to Connectors

Lecture 3: Triggers and Actions

Lecture 4: Use Case for Custom Connectors

Lecture 5: Section Conclusion

Chapter 8: Section 8 : Understanding Microsoft Dataverse

Lecture 1: Dataverse Introduction

Lecture 2: 02 Tables, Columns and RelationShips

Lecture 3: 03 Business Rules in Power Platfrom

Lecture 4: 04 Environments in Power Platform

Lecture 5: 05 Common Data Modle

Lecture 6: 06 Conclusion of Dataverse Section

Chapter 9: Section 9 : Understanding the AI Builder

Lecture 1: 01 AI Builder

Lecture 2: 02 Introduction to AI Builder

Lecture 3: 04 Getting Sample Data

Lecture 4: 05 Section Conclusion

Lecture 5: PART 2 : Core Components of Power Platform Conclusion

Chapter 10: Section 10: Business Value of Power BI

Lecture 1: Section Introduction

Lecture 2: Project Introduction

Lecture 3: Power BI Primer

Lecture 4: Power BI Desktop Interface

Lecture 5: Power BI Editor: An Important Component

Lecture 6: Data View: Connect & Load Data

Lecture 7: Power BI Editor: Data Transformation at Row Levell

Lecture 8: Power BI Editor: Data Transformation at Column Level

Lecture 9: Power BI Editor: Append and Merge Data

Lecture 10: Power BI Editor: Pivot and UnPivot Data

Lecture 11: Summary

Chapter 11: Explain Common Components in Power BI

Lecture 1: Model View – Build the Data Model

Lecture 2: Report View – Visualization, pages & Reports

Lecture 3: Report View – Bar Chart

Lecture 4: Report View – Pie Chart

Lecture 5: Report View -Text Table & Heat Map

Lecture 6: Report View -Filled Map Visual

Lecture 7: Donut Visualization

Lecture 8: Scatter Plot Visualizations

Lecture 9: Types of Filters and Slicers

Lecture 10: Visual Formatting

Lecture 11: Aggregate Functions

Lecture 12: Usage of Custom Visual

Lecture 13: Compare and Contrast Power BI Common Component

Lecture 14: Power BI Security Model

Chapter 12: Build a Basic Dashboard Using Power BI

Lecture 1: Introduction to Power BI Last Section

Lecture 2: Common Components of Power BI

Lecture 3: Publish to Power BI Service 1

Lecture 4: Publish to Power BI Service 2

Lecture 5: Power BI Reports

Lecture 6: Power BI Dashboard

Lecture 7: Workspaces and its types

Lecture 8: Reports Dashboards and workspaces

Lecture 9: View Share & Collaborate on Power BI Service

Lecture 10: Power BI Mobile

Lecture 11: Using Template Apps

Instructors

Saurabh Singh
Instructor | Software Engineer | Microsoft Expert

Rating Distribution

1 stars: 4 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 7 votes
5 stars: 42 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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