Learn how to use Microsoft Power Platform to design and build low-code business apps. Do real-world projects in app development, automation, and analytics to get ready for the PL-100 certification exam.
Level
Advanced
Duration
8 weeks



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This training helps people learn how to use Power Apps, Power Automate, Power BI, and Dataverse to make useful business solutions without having to write a lot of code. You will learn how to make apps that run on a canvas or a model, automate workflows, create dashboards, and connect with Microsoft 365 and Dynamics 365. To make sure that enterprise solutions can grow, the course also covers data modeling, security, and governance. You will be fully ready to pass the PL-100 exam and move up in your career as a Power Platform App Maker after finishing this program.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Understand Power Platform components and their integration.
Analyze requirements and design low-code/no-code solutions.
Create responsive canvas apps tailored to business processes.
Develop model-driven apps using Dataverse.
Design data structures and manage data in Dataverse.
Automate processes using workflows and integrations.
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Use Power Automate workflows to automate the process of managing employee leave requests, approvals, and notifications in a canvas app that works with Dataverse.
Use Power BI to make a sales performance dashboard that connects to Dataverse and Excel. This will give you real-time information about your revenue and pipeline.
Use Power Automate and AI Builder to make a solution that collects, analyzes, and sorts customer feedback, and then takes automated actions to follow up.


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