1. Introduction to Power Apps

• What is Power Apps?
• Role in the Power Platform
• Types of apps

2. Canvas Apps vs Model-Driven Apps

• Key differences
• When to use each type
• Strengths and limitations

3. Licensing Requirements

• Power Apps licenses overview
• Dataverse usage scenarios
• When Premium licensing is required

4. Introduction to Canvas Apps

• Canvas app building blocks
• Designing screens and layout

5. Working with Canvas App Controls, Power Fx & Data Connections

• Controls and properties
• Power Fx fundamentals
• Connecting to data sources (SharePoint, Excel, Dataverse, etc.)
• Building simple formulas and logic

6. Introduction to Dataverse & Model-Driven Apps

• What is Dataverse?
• Tables, columns, relationships
• Overview of model-driven design principles

7. Creating Solutions and Tables in Dataverse

• What are Solutions?
• Creating custom tables and relationships
• Option sets, lookups, and data types
• Understanding primary keys and schema design

8. Creating Model-Driven Apps

• App design and components
• Navigation, sitemap, and app configuration
• Adding forms, views, dashboards

9. Creating and Working with Forms & Views in Model-Driven Apps

• Form types and customization
• Business rules and visibility settings
• View creation and filtering

10. Publishing & Sharing Model-Driven Apps

• App validation and publishing
• Sharing apps and managing permissions

Module 1 — Copilot Basics

• What is Microsoft Copilot?
• Licensing and prerequisites
• Prompting fundamentals

Module 2 — Using Copilot in Office Apps

• Copilot in Word: drafting, summarizing, improving content
• Copilot in Excel: insights, formulas, visualizations
• Copilot in PowerPoint: slide generation and editing
• Copilot in Outlook: email summaries and drafting

Module 3 — Copilot in SharePoint

• Using Copilot with document libraries

Module 4 — Copilot Chat in Teams

• Meeting recaps and action items
• Summarizing chat history

Module 5 — Work Copilot vs Web Copilot

• Differences between Work Copilot and Web Copilot
• Generative AI Capabilities

Module 6 — Creating Copilot Agents in Teams

• Connecting data sources
• Publishing an Agent to Teams

Part 1: Introduction to DAX

1. What is DAX?
2. Why use DAX with Power BI
3. Calculated Columns vs Measures
4. Types of Functions
   1. Logical Functions
   2. Table manipulation functions
   3. Date and time functions
   4. Filter functions
   5. Financial functions
   6. Math and Trig functions 
   7. Parent and Child functions
   8. Relationship functions 
   9. Statistical functions
   10. Text functions
   11. Time intelligence functions

Part 2: Logical functions

1. TRUE
2. FALSE
3. IF
4. IFERROR
5. AND
6. OR
7. SWITCH
8. COALESCE

Part 3: Tables

1. Tables Overview
2. Filtering Tables
   1. FILTERS
   2. TOPN
3. Summarizing Tables
   1. SUMMARIZE
   2. SUMMARIZECOLUMNS
   3. ROLLUP
   4. GROUPBY
4. Generating Tables
5. Distinct Values
   1. DISTINCT column
   2. DISTINCT table
6. Joining Tables
   1. CROSSJOIN
   2. NATURALINNERJOIN
   3. NATURALLEFTOUTERJOIN
7. Adding Values
   1. Columns
   2. Missing items
8. Table Constructor

Part 4: Date and Time Functions

1. Date and Time Functions Overviews
2. Units of Time
3. Creating a Calendar
   1. CALENDAR
   2. CALENDARAUTO
4. Dates
5. TODAY
6. NOW
7. TIME
8. TIMEVALUE

Part 5: Filter Functions

1. Filter Functions Overview
2. Filtering Tables
   1. FILTER
   2. REMOVEFILTERS
   3. ALL (ALL, ALLCROSSFILTERED, ALLEXCEPT, ALLNOBLANKROW, & ALLSELECTED)
   4. CALCULATETABLE
   5. KEEPFILTERS
3. CALCULATE
4. LOOKUPVALUE
5. SELECTEDVALUE

Part 6: Financial functions

1. Accrued Interest
   1. ACCRINT
   2. ACCRINTM
2. Depreciation
   1. DB
   2. DDB

Part 7: Relationships Functions

1. CROSSFILTERS
2. RELATED
3. RELATEDTABLE
4. USERELATIONSHIP
5. Parent and Child Functions
   1. PATH
   2. PATHCONTAINS
   3. PATHITEM
   4. PATHITEMREVERSE

Part 8: Text functions

1. FIND
2. SEARCH
3. REPLACE
4. FORMAT
5. LOWER
6. UPPER
7. RIGHT
8. LEFT
9. COMBINEVALUES
10. CONCATENATE
11. CONCATENATEX
12. EXACT
13. FIXED
14. LEN
15. MID
16. SUBSTITUTE
17. TRIM
18. VALUE

Part 9: Statistical functions

1. Central Tendencies
   1. Averages
   2. Means
   3. Geo means
2. Counting
   1. Counting and COUNTX
   2. Blanks, and rows
   3. Distinct count: distinct, approximate, no blank
3. Min/Max
   1. MAX, MAXA and MAXX
   2. MIN, MINA and MINX
4. Sample
5. Distributions
   1. Normal
   2. Exponential
   3. Beta
   4. Poisson
6. Inverse
7. Percentiles
8. Ranking
9. Standard Deviation
10. Variance
    1. VAR.P and VARX.P
    2. VAR.S and VARS.P

Part 1: What is BI?

We’ll start out by covering business intelligence basics to lay the groundwork for an intelligent approach to reporting and visualizing data.

• Business Intelligence Overview
• Common Challenges
• Benefits of Power BI

Part 2: Getting started with Power BI

Power BI is an extensive toolbox for working with and analyzing data. We’ll cover the fundamentals of the service, how Power BI’s features are organized, and immediately orient towards dashboards and visualization.

• Overview & Pricing/Licensing
• Components of Power BI
• Building Blocks of Power BI
• Quick Tour of Power BI Service

Part 3: Building simple reports

Reports are the first step in graphically communicating information related to your data. In this section of the class, you’ll learn to use and navigate the types of datasets you encounter every day, and how to use them to begin shaping meaningful communication.

• Importing excel data
• Using preexisting datasets
• Creating visualizations
• Using slicers

Part 4: Dashboards

In this section, we’ll cover how to create and use dashboards for common needs. By the end of this section, you’ll understand what’s realistic to expect from your PowerBI dashboards and how to set them up, share them, and produce valuable insights with your team quickly.

• Dashboard expectations vs. features
• Using KPI
• Create and Configure a Dashboard
• Shared Dashboards with your Organization
• Pinning visuals

Part 5: Exploring data

In this final section of class, we’ll get a bit more granular about navigating, analyzing and communicating about your data. By the time we conclude, you’ll be ready to start applying what you’ve learned in your own real-world situations. 

• Use Quick Insights
• Display Visuals and Tiles Full-Screen
• Edit Tile Details
• Get More Space on Your Dashboard
• Ask Questions of your Data with Natural Language
• Advanced Navigation