Rapid Prototyping of Generative AI Apps with Streamlit

This repo contains the lab materials for the course. This includes assets such as data, code scripts, Jupyter notebooks and Streamlit apps.

Table of Contents

• Module 1 - Introduction

  • M1 Lab 1 Explore the Avalanche Dataset and Streamlit Demo
  • M1 Lab 2 Build a simple Streamlit app
  • M1 Lab 3 Build a Functional Streamlit App

• Module 2 - Rapid Prototyping with Streamlit on Snowflake

  • M2 Lab 1 Building an Interactive Prototype
  • M2 Lab 2 Deploying Your Prototype Internally on Snowflake
  • M2 Lab 3 Deploying to Streamlit Community Cloud
  • M2 Lab 4 Deploy on Community Cloud and using Data from Snowflake

• Module 3 - Iterative Improvement

  • M3 Lab 1 Using Data Augmentation to Build a Simple Chatbot
  • M3 Lab 2 Setting up a RAG pipeline using Cortex Search
  • M3 Lab 3 Build a RAG chatbot on a complex, unstructured data