Maria Doina Irimias
RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer
#1about 5 minutes
Understanding the fundamentals of Robotic Process Automation
RPA is a software technology that mimics human actions to automate rule-based digital tasks, increasing speed and accuracy while reducing costs.
#2about 11 minutes
Comparing .NET development with an RPA career path
While .NET is for building applications, RPA focuses on automating business processes, offering a closer connection to business impact and rapid delivery cycles.
#3about 5 minutes
Exploring the UiPath automation platform ecosystem
The UiPath platform provides a complete ecosystem for automation, from discovering processes with process mining to building, managing, and measuring robots.
#4about 7 minutes
Understanding the core components of UiPath
UiPath's architecture consists of Studio for designing workflows, Robots for executing tasks, and Orchestrator for managing the entire robot workforce.
#5about 10 minutes
A developer's first look at UiPath Studio
UiPath Studio offers a visual, drag-and-drop interface similar to Visual Studio's form designer for building automation sequences and workflows.
#6about 13 minutes
Best practices for building robust RPA solutions
Apply software engineering principles like modular design, consistent naming conventions, and secure credential management to create scalable and maintainable automations.
#7about 13 minutes
Live demo of building a simple web bot
Follow a step-by-step demonstration of creating a web automation that opens a browser, interacts with form elements, and extracts data from a page.
#8about 16 minutes
Extending UiPath with custom .NET libraries
Leverage your .NET skills by building custom activities in Visual Studio, packaging them as NuGet libraries, and importing them into UiPath for advanced functionality.
#9about 23 minutes
Using AI for document understanding in RPA
Enhance your automations with AI Center to process unstructured documents by training machine learning models to classify layouts and extract data.
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+1

