Get Hands On with Agentic AI using AWS and Snowflake

Are you growing a startup and looking to scale your tech stack while keeping a competitive advantage? Or maybe you’re deploying a data-heavy application and want to deliver value to your core business.

By combining the power of a cloud data platform and generative AI, you can scale your business while simplifying complex workflows.

Join our virtual hands-on lab to build a conversational AI solution using Snowflake Cortex and Agents for Amazon Bedrock. 

This is a great opportunity for:

• Data practitioners looking to extend their core data workloads with gen AI with SQL or quickly deploy data applications using Streamlit, within Snowflake’s secure platform

• ML practitioners looking to take advantage of Snowflake’s scalable compute for their ML and gen AI workflows

You’ll learn how to:

• Set up environments in both Snowflake and AWS for gen AI

• Create a function that leverages Snowpark External Access to securely call Amazon Bedrock

• Create a Streamlit app that leverages the above function to generate responses using data from Snowflake and prompts

• Create an agent-based app using Amazon Bedrock Agents that will query data in Snowflake to answer questions using Snowflake’s Cortex APIs