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PL-900: Microsoft Power Platform Fundamentals by Udemy
Learn about Power Apps, Power Automate, Power BI, the AI Builder and the Dataverse (CDS) - for Microsoft's PL-900 exam.
Course Highlights
- Describe the business value of Microsoft's Power Platform
- Identify the Core Components of Power Platform, including Dataverse (CDS), Connectors and AI Builder
- Demonstrate the capabilities of Power BI
- Demonstrate the capabilities of Power Apps
- Demonstrate the capabilities of Power Automate
- Demonstrate the capabilities of Power Virtual Agents
Skills you will learn!
Curriculum
8 Topics
Introduction
Welcome to Udemy
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1 2 3 4 5 6/1-3 5-6. The business value of Power Platform services
4 7 8. The business value of Power Pages Microsoft Dataverse and AI Builder
Curriculum
Resources
8 Topics
Downloading Power BI Desktop
Identify available types of data sources including Microsoft Excel
29. Creating our first visualization
Describe and implement aggregate functions
29. Identify and describe uses for visualization controls - basic types
28. Describe how AI Insights helps identify anomalies and trends in data
Describe types of filters
Power BI Desktop - Visualizations
7 Topics
27. Loading queries into the Power Query Editor
27. Menus in Power Query Editor
27. Clean and transform data
27. Combine multiple data sources
25. Describe the Power BI Desktop Reports Data and Model tabs
27. Design data layout and mapping
Power BI Desktop - Managing Data
12 Topics
Publishing to the Power BI Service
Why do I need a Work email address? And how can I get one if I don't have it?
A quick look around the Power BI Service
Power BI Terminology
The Power BI Service has been updated
25. Compare and contrast Power BI Desktop and Power BI Service
30 31. Design a Power BI Dashboard including adding visuals by using Q&A
26 32. Compare and contrast and publish reports dashboards workspaces
26d. Paginated reports
29. Create a Power BI report
32. Describe options for viewing Power BI reports and dashboards
Power BI Service
5 Topics
33. Introduction to Power Apps incl. canvas and model-driven apps
Signing up for PowerApps
Creating our first canvas Power App
15. Describe Environments
Environments and our first Power App
9 Topics
The Power Apps User Experience
19. Tables
19. Columns and Relationships and describing people places things
18. The difference between databases and Dataverse
Solutions
20. Business Rules
20. Real-time workflows and actions
21. Dataflows
The Dataverse (Common Data Service)
7 Topics
34. Templates including types of data sources and multiple data sources
23 36. Connect to data by using connectors premium licensing options
What does the end-user see?
38. Use controls to design the user experience
34. Components
34. Formulas
Canvas Apps
6 Topics
41. Modify views
40. Modify forms
Charts and Dashboards
Model-driven app update
35 39. Creating our first model-driven app adding tables to app navigation
Model-driven apps
12 Topics
22 42-44: Intro incl. flow types templates connectors triggers
45. Power Automate use cases for Microsoft Teams Outlook SharePoint Forms
22 49 50: Creating modifying and running an instant (button) flow
Connecting to Twitter
49: Creating an automated flow template with a condition and expression
49. Creating a scheduled flow using an Apply to Each loop
51. Other flow controls such as Switch and Do Until
45. Approvals and Business Processes
24. Identify use cases for custom connectors
46. Describe the Power Automate portal and mobile
47 53. Describe the Power Automate Desktop
Power Automate
4 Topics
57. Provision and create our first Power Pages portal
58. Other Portal templates
59. Common portal customizations including how to share data externally
Portals
8 Topics
54. Uses and where you can publish chatbots creating our first chatbot
-. Test a chatbot
55. Topics entities and actions
Looking at topic conversation flowcharts
-. Creating a topic using nodes conditions and trigger phrases
56. Create topics from existing FAQs by using Suggest Topics
54. Publish a chatbot
Power Virtual Agents
13 Topics
60 61. Use cases and lifecycle for AI Builder models
48. Describe document processing in Power Automate
14. Power Platform Security
14. Azure Identity Services and Access Management (IAM)
16. Manage apps and users and where to perform specific admin tasks
16. Data Loss Prevention (DLP) policies
17. Privacy and accessibility guidelines
16. Power Platform governance capabilities
9. Dynamics 365 and Power Platform
10 12. Microsoft 365 and Power Platform
13. Microsoft Azure Third-party apps and Power Platform
11. How Microsoft Power Platforms apps works together
Other Power Platform Topics
3 Topics
Practice Test
What's Next?
Well done
4 Topics
No longer needed for PL-900 exam
Describe uses for custom visuals including charts or controls
Shared datasets and template apps
Describe using Power BI in mobile apps
7 Topics
The Common Data Model (CDM)
The Native Dataverse connector
The difference between Dataverse and Dataverse for Teams
Publish and share a canvas app
Revert to an earlier version
-. Embedding into Microsoft Teams
-. Publish and share an model-driven app
9 Topics
Power Pages - User authentication
-. Describe use cases for Power Virtual Agents within Microsoft Teams
Power Virtual Agents - Monitor chatbot usage and performance
-. Consuming AI Builder in Microsoft Teams and SharePoint
-. How Power Platform can consume Azure Cognitive Services
-. Privacy and accessibility capabilities
-. AppSource
-. Analytics
Bonus Section Quiz
1 Topic
Bonus Lecture - PL-900
PL-900: Microsoft Power Platform Fundamentals
Related Microsoft Power Platform Courses
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