Coursera – Fast Prototyping of GenAI Apps with Streamlit 2025-8

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Description

Fast Prototyping of GenAI Apps with Streamlit is a course published by Coursera Academy. Fast Prototyping of GenAI Apps with Streamlit addresses a costly problem: Ideas lose momentum and slow down the decision-making process when they get bogged down in lengthy discussions, complex specifications, and intangibles. In a field where new GenAI capabilities emerge every week, teams that can deliver working demos faster shape the development path and attract resources. In this course, you’ll learn how GenAI streamlines the prototyping process, enables rapid iteration and validation of product-to-market fit, and allows anyone—regardless of programming experience—to contribute to app development. You'll learn how to turn a few lines of Python code into a shareable Streamlit web app, reduce iteration time from weeks to hours using Snowflake's secure data and coding assistant, and easily improve your app's performance with Snowflake's Cortex AI—a managed suite of Large Language Models (LLM), RAG, and text-to-SQL services (with a 120-day free trial). You'll start with a simple chatbot, add prompt engineering and RAG, and publish the result to Snowflake or the Streamlit Community Cloud for instant feedback. By the end of the course, you'll have a working GenAI app, a repeatable MVP-based framework, and the skills to validate any new idea as it emerges.

What you will learn

• Quickly plan, develop, and iterate on GenAI ideas by turning a short Python script into an interactive Streamlit application that runs entirely within the Snowflake environment.
• Strengthen your app with iterative development principles, practical prompt engineering practices, and using RAG to connect answers to real data.
• Publish your prototype to Snowflake private environments or the Streamlit Community Cloud and confidently improve it without the need for additional infrastructure.

Course details: Fast Prototyping of GenAI Apps with Streamlit

• Publisher: Coursera
• Lecturer: Chanin Nantasenamat
• Language: English
• Education level: Intermediate
• Number of lessons: 3
• Training duration: 9 hours to complete the course

Course topics: Fast Prototyping of GenAI Apps with Streamlit

Course prerequisites

• A learner comfortable with Python and basic ML/LLM concepts. Some SQL and data ingestion experience is recommended

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