Join us for an immersive two-hour technical and hands-on lab session where you’ll learn to build generative AI applications using Snowflake, Amazon Bedrock, and Streamlit.
This session, designed for System Integrators, will guide you through creating a Streamlit app hosted in Snowflake that seamlessly integrates with Amazon Bedrock. You’ll set up environments in both Snowflake and AWS, create functions leveraging Snowpark External Access to call Amazon Bedrock, and develop a Streamlit app that generates personalized responses using Snowflake data and prompts.
By the end of this hands-on lab, you’ll have the skills to build efficient architectures within Snowflake that can access purchase history data and utilize Bedrock models to generate context-aware marketing messages, opening up new possibilities for AI-driven data applications.
Prerequisites: In the session we will provide a mechanism to access AWS Lab Accounts. Please, set up a Trial Account or use your SPN Snowflake Account before this session. If you plan to attend several sessions, we strongly suggest having the account under AWS eu-west-2.