Fast Prototyping of GenAI Apps with Streamlit

Fast Prototyping of GenAI Apps with Streamlit tackles a simple but costly problem: product ideas lose momentum when they linger in discussions, drawn-out specifications, and intangibles that slow down the decision-making process. In the constantly evolving world of generative AI, the ability to prototype quickly is a significant competitive advantage. Teams that can show working demos and iterate fast influence roadmaps, shape decisions, and win resources. Generative AI makes this speed accessible to everyone.

This course gives you that speed advantage. You’ll explore how GenAI streamlines the prototyping workflow, facilitates fast iteration and validation of product-market fit, and allows anyone, regardless of coding experience, to participate in the app creation process.

You’ll learn to turn a few lines of Python into a shareable Streamlit web app, cut down iteration time from weeks to hours, and improve the performance of your application easily using Cortex AI (free 120-day trial included).

You’ll start with a basic chatbot, layer on prompt engineering and RAG, and publish the result to Snowflake or Streamlit Community Cloud for real-time feedback.

By course end, you’ll leave with a working GenAI app, a repeatable MVP-first framework, and the skills to validate any new idea as soon as it strikes.

What is Streamlit?

Streamlit is an open-source Python library that turns a few lines of code into interactive, data-driven web apps in minutes, no front-end skills required. Its simplicity and speed have made it a go-to tool for thousands of developers who need to share insights or prototype AI features fast.

If you’re comfortable coding in Python and familiar with generative AI and the basics of prompting, this course is perfect for you! Basic knowledge of SQL is helpful but optional.