WHAT TO EXPECT

Building applications that incorporate image data adds a whole new layer of complexity with more diverse types of data, different data sources to manage, and greater horsepower required. But with an integrated data stack, developers can streamline the process from development to deployment in minutes. In this hands-on lab we’ll show you how to build an image-based recommendation application that is powered by generative AI (GenAI) and built with Snowpark External Access, Azure Open AI and Streamlit.

WHAT YOU WILL EXPLORE & LEARN
  • Set up and integrate Snowflake and Azure OpenAI platforms
  • Create a Snowpark External Access integration to call Azure OpenAI
  • Build a Streamlit app that calls OpenAI leveraging tabular and image data from Snowflake
  • Deploy your first GenAI app with image data in Snowflake!
WHO SHOULD ATTEND

Virtual Hands-On Labs sessions cater to individuals ranging from beginners to those with extensive experience in using Snowflake. These sessions are tailored to help you initiate or enhance your skills and confidence in the Data Cloud. This includes IT Managers, Data Architects, Engineers, Scientists, Administrators, and Developers.

We look forward to seeing you there.

IN PARTNERSHIP WITH

講演者
  • Venkat Suru

    Principal Partner Sales Engineer, Cloud and ISV
    Snowflake

  • Miguel Arcilla

    Cloud Solutions Architect - ISV
    Microsoft

SAVE YOUR SEAT