Coursera: Fast Prototyping of GenAI Apps with Streamlit

What many people misunderstand: Design Thinking (and therefore Data & AI Business Design) is NOT just about only sketching colorful user interfaces, AI workflows, architecture diagrams and the like. Design Thinking is particularly concerned with riskiest assumption testing (RATs) regarding feasibility, desirability and viability. Design is conception AND experimentation.

Prototypes are a form of technical experiments. Following the mantra “Fail fast to succeed sooner.”, prototypes should be implemented as fast as possible. Streamlit is a wonderful tool for quickly building data analytics and AI prototypes. On coursera there is now a helpful introductory course in “Fast Prototyping of Gen AI Apps with Streamlit” by DeepLearning.AI and Snowflake. The first module is free and I can highly recommend it:

👉 https://www.coursera.org/learn/fast-prototyping-of-genai-apps-with-streamlit/

The combination of Streamlit and a large language model (LLM) is what makes the course so exciting. At Datentreiber, we are currently using Streamlit in combination with GPT-5 for a chat-with-your-data project. We tested the critical assumptions within two weeks and are now even using Streamlit for the first demo version of the application.