English | Size: 1.06 GB
Genre: eLearning
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.
There are 3 modules in 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.
You’ll explore how GenAI streamlines the prototyping workflow, facilitates rapid 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 using Snowflake’s secure data and coding copilot, and improve the performance of your application easily using Snowflake’s Cortex AI, a fully managed suite of LLMs, RAG, and text-to-SQL services (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.
rapidgator.net/file/215e3f74910a696ccacfbe19d35b95e4/CA-FastPrototypingofGenAIAppswithStreamlit2025-8.part1.rar.html
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trbt.cc/z73dq74d7o6v/CA-FastPrototypingofGenAIAppswithStreamlit2025-8.part3.rar.html
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