Build AI Apps Fast with Streamlit

Stop letting your GenAI ideas stall in discussions. This course by DeepLearning.AI and Snowflake empowers you to turn short Python scripts into fully interactive web applications in hours, not weeks. Master the "MVP-first" framework to validate your ideas instantly, influence product roadmaps, and win resources with tangible, working demos.

What Will You Learn?

• Transform Python scripts into interactive Streamlit apps running inside Snowflake.

• Apply iterative development and MVP mindset to accelerate coding and debugging.

• Strengthen GenAI prototypes with prompt engineering and RAG to ground AI in real data.

• Deploy prototypes to private Snowflake environments or Streamlit Community Cloud.

• Leverage Snowflake Cortex AI for managed LLMs, sentiment analysis, and pattern extraction.

Course Details:

• Duration: Approximately 9 hours (3 modules)

• Level: Intermediate

• Language: English

• Certificate: Paid Certificate available (Financial Aid applicable)

• Course Type: Online

Course Features:

• Includes a free 120-day trial of Snowflake for hands-on labs.

• Taught by Chanin Nantasenamat, an expert from Snowflake.

• Provides a repeatable framework for building and validating MVPs at speed.

Target Audience:

• Learners comfortable with Python and basic ML/LLM concepts.

• Developers and data professionals looking to deploy rapid GenAI solutions.

• Professionals with some SQL and data ingestion experience who want to build apps.

Why Choose This Course?

• Direct hands-on experience with the Snowflake and Streamlit ecosystem.

• Bridges the gap between a raw script and a shareable, interactive product.

• Addresses the industry's need for rapid validation in a fast-moving AI landscape.

How to Register:

• Visit the official Coursera course page via the link provided.

• Click the "Enroll for Free" button to begin.

• Sign in or create a new Coursera account.

• Choose to audit for free or select the paid track to earn a professional certificate.

FAQ:

Question: Do I need prior coding experience?
Answer: Yes, you should be comfortable with Python and have a basic understanding of machine learning and LLM concepts.
Question: What is Snowflake Cortex?
Answer: It is a fully managed suite of LLMs and AI services within Snowflake that you will use to power your Streamlit apps in this course.

Don't just talk about GenAI—build it. Enroll in the Streamlit prototyping course today!