Build Shiny Apps Faster with AI

A practical, step-by-step guide to building dynamic dashboards, models, and workflows in R using AI support

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Build interactive Shiny dashboards in R using a clear, step-by-step workflow without breaking existing functionality.
Use AI effectively to generate, extend, and debug Shiny apps while staying in full control of the code.
Create dynamic dashboards with filters, tabs, tables, and interactive Plotly visualizations.
Integrate logistic regression models into a Shiny app with user-selected predictors and real-time predictions.
Export results from dashboards by downloading model summaries and prediction outputs.
Design professional-looking dashboards using bslib themes without needing HTML or CSS.
Publish and share Shiny apps online using beginner-friendly deployment tools.

Basic knowledge of R (you should be comfortable running scripts and working with data frames) R and RStudio installed on your computer No prior Shiny experience required No web development knowledge needed (HTML, CSS, or JavaScript are not required) No prior experience with AI tools required — everything is explained step by step If you’ve written R code before and want to build interactive dashboards faster and more confidently, you’re ready for this course.

Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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