Structured Learning Path

Microsoft Power Platform Mastery (Power BI + Power Apps + Power Automate + Copilot + Dataverse) Syllabus

Explore all chapters and subchapters in a clear, organized format designed for better learning and faster navigation.

1

Introduction to Microsoft Power Platform

1.1 What is Power Platform?

1.2 Why Low-Code Revolution Matters

1.3 Real-world Use Cases (Industry Examples)

1.4 Components Overview (Big Picture)

1.5 How all tools work together (Architecture)

2

Power BI – Data Analytics & Visualization

2.1 Introduction to Power BI

2.2 Power BI Interface & Workspace

2.3 Connecting Data Sources

2.4 Data Cleaning with Power Query

2.5 Data Modeling Basics

2.6 Creating Reports & Dashboards

2.7 DAX Basics (Formulas & Measures)

2.8 Publishing Reports to Power BI Service

2.9 Real-Time Dashboards

2.10 Power BI Project (Business Report)

3

Power Apps – App Development (Low-Code)

3.1 Introduction to Power Apps

3.2 Types of Apps (Canvas vs Model-Driven)

3.3 Power Apps Interface

3.4 Working with Dataverse in Apps

3.5 Forms, Galleries & Controls

3.6 Building Business Apps

3.7 Power Apps Functions & Logic

3.8 App Navigation & UX Design

3.9 Power Apps Integration with Excel/SharePoint

3.10 Mini Project: Employee Management App

4

Power Automate – Workflow Automation

4.1 Introduction to Automation

4.2 Types of Flows (Cloud, Desktop, Business Process)

4.3 Trigger & Actions Concept

4.4 Approval Workflows

4.5 Integration with Email, Teams, SharePoint

4.6 RPA Basics (Desktop Automation)

4.7 Scheduled Automation

4.8 Error Handling in Flows

4.9 Real-life Automation Scenarios

4.10 Project: Leave Approval System

5

Power Pages – Website & Portal Development

5.1 Introduction to Power Pages

5.2 Creating a Business Website

5.3 Authentication & User Roles

5.4 Dataverse Integration

5.5 Forms & Data Display

5.6 External User Access Setup

5.7 Styling & Customization

5.8 Security Configuration

5.9 Project: Customer Support Portal

6

Copilot Studio (AI Chatbots)

6.1 Introduction to AI in Power Platform

6.2 What is Copilot Studio?

6.3 Building Your First Chatbot

6.4 Topics, Triggers & Responses

6.5 Integration with Websites & Teams

6.6 Connecting Dataverse to Bots

6.7 AI-driven Conversations

6.8 Escalation to Human Agents

6.9 Project: AI Customer Support Bot

7

Microsoft Dataverse – Data Backbone

7.1 What is Dataverse?

7.2 Tables, Columns & Relationships

7.3 Data Types & Schema Design

7.4 Security Roles & Permissions

7.5 Business Rules

7.6 Data Integration Concepts

7.7 Using Dataverse in Apps & Flows

7.8 Data Management Best Practices

8

Connectors & Integration

8.1 What are Connectors?

8.2 Standard vs Premium Connectors

8.3 Common Integrations (SQL, SharePoint, Gmail, etc.)

8.4 API-based Integration Basics

8.5 Data Sync Between Apps

8.6 Custom Connectors Overview

8.7 Real Integration Architecture

9

AI Builder (Intelligent Automation)

9.1 Introduction to AI Builder

9.2 Form Processing Model

9.3 Object Detection

9.4 Text Recognition

9.5 Prediction Models

9.6 AI in Power Apps

9.7 AI in Power Automate

9.8 Real-world AI Use Cases

10

Security, Governance & Administration

10.1 Environment Management

10.2 Data Policies (DLP Rules)

10.3 User Roles & Access Control

10.4 Compliance Standards

10.5 Monitoring & Logs

10.6 Performance Optimization

10.7 Power Platform Admin Center

11

End-to-End Project Building

11.1 Project Planning & Requirement Analysis

11.2 Choosing Tools for Solution Design

11.3 Database Design (Dataverse)

11.4 App + Flow + BI Integration

11.5 Testing & Debugging

11.6 Deployment Strategy

11.7 Real Enterprise Project Example

12

Career & Certification Path

12.1 PL-900 Certification Guide

12.2 PL-100 / PL-200 Overview

12.3 Resume Building for Power Platform Roles

12.4 Freelancing Opportunities

12.5 Real Job Roles in Market

12.6 Interview Questions & Preparation

13

PL-600 Solution Architect Hands-On Labs & Exercises

13.1 Becoming a Solution Architect - Exercise – Getting to Know Your Customer

13.2 Conceptualizing the design from requirements Exercise - Design from requirements

13.3 Implement project governance for Power Platform and Dynamics 365 Exercise - Review workbook

13.4 Model data for Power Platform solutions Exercise - Model data

13.5 Explore Power Apps architecture Exercise - Power Apps architecture

13.6 Plan application lifecycle management for Power Platform Exercise - App composition and solution segmentation

13.7 Explore Power Automate architecture Exercise - Power Automate architecture

13.8 Model security for Power Platform solutions Exercise - Security model

13.9 Implement integrations with Power Platform Exercise - Evaluate integration options

13.10 Explore Dynamics 365 applications architecture Exercise - First party apps

13.11 Explore Power Virtual Agents Exercise - PVA architecture

Microsoft Power Platform Mastery (Power BI + Power Apps + Power Automate + Copilot + Dataverse)

Microsoft Power Platform Mastery

Total Chapters

13

Total Subjects

129