Fast Prototyping of GenAI Apps with Streamlit
DeepLearning.AI
Fast Prototyping of GenAI Apps with Streamlit tackles a costly problem: ideas lose momentum when they linger in discussions, drawn-out specifications, and intangibles that slow down the decision-making process. In a field where new GenAI capabilities surface every week, the teams that can show working demos first are the ones that influence roadmaps and win resources. This course gives you that speed advantage. Youâll explore how GenAI streamlines the prototyping workflow, facilitates rapid it
About this Course
Fast Prototyping of GenAI Apps with Streamlit tackles a costly problem: ideas lose momentum when they linger in discussions, drawn-out specifications, and intangibles that slow down the decision-making process. In a field where new GenAI capabilities surface every week, the teams that can show working demos first are the ones that influence roadmaps and win resources. This course gives you that speed advantage. Youâll explore how GenAI streamlines the prototyping workflow, facilitates rapid it
What You'll Learn
- Plan, build, and iterate GenAI ideas quickly by turning a short Python script into an interactive Streamlit app that runs entirely inside Snowflake.
- Strengthen your app with iterative development principles, practical prompt engineering methods, and RAG to ground responses in real data.
- Publish your prototype to private Snowflake environments or Streamlit Community Cloud and refine confidently without extra infrastructure.
Instructors
Chanin Nantasenamat