Course Overview
Overview
The Microsoft Power Platform Fundamentals (PL-900) is the foundational certification for the Microsoft Power Platform. It is designed for individuals who want to demonstrate their understanding of how to build simple solutions, automate business processes, and analyze data to create actionable insights using low-code tools.
By 2026, the curriculum has been modernized to integrate Microsoft Copilot and Generative AI across all pillars of the platform, empowering “citizen developers” to build professional-grade solutions through natural language conversations.
Key Learning Outcomes
By the end of this course, participants will be able to build simple, end-to-end solutions, automate business processes, and prepare for the PL-900 certification exam.
Course Outline
Module 1: Business Value of Power Platform
Module 2: Get Started with Microsoft Dataverse
Module 3: Create a Canvas App
Module 4: Describe Power Automate
Module 5: Create a Power BI Report
Module 6: Describe Power Pages and Chatbots
Target Audience & Prerequisites
This course is designed for aspiring developers, business users, and IT professionals, with no prior coding
experience required. Basic familiarity with Microsoft 365 is recommended.
Exam Code
PL-900
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 19 – 22 | – | 2 – 3 | – | 25 – 26 | – |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 13 – 14 | – | 21 – 22 | – | 9 – 10 | – |
Overview
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion
within Power BI.
Learning Outcomes
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
Course Outline
Module 1: Get Started with Microsoft Data Analytics
Module 2: Prepare Data in Power BI
Module 3: Clean, Transform, and Load Data in Power BI
Module 4: Design a Data Model in Power BI
Module 5: Create Model Calculations using DAX in Power BI
Module 6: Optimize Model Performance
Module 7: Create Reports
Module 8: Create Dashboards
Module 9: Create Paginated Reports in Power BI
Module 10: Perform Advanced Analytics
Module 11: Create and Manage Workspaces
Module 12: Manage Datasets in Power BI
Module 13: Row-level security
Target Audience
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud.
Exam Code
PL-300
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 5 – 6 | – | 16 – 17 | – | 11 – 13 | – |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 20 – 22 | – | 7 – 9 | – | 16 – 18 | – |
