Introduction to Gen AI with Snowflake [Updated: 10/1/2025]

Looking for an overview of how to leverage the power of GenAI on Snowflake? This course covers common use cases and the core concepts required to set up your own environment and build AI applications. Learn how to use the Cortex LLM Functions to accomplish many essential AI tasks, as well as fine-tune models to perform specific tasks. This course is an ideal fit for anyone looking to upskill with AI, but is particularly well suited for data scientists, AI and ML engineers, and other data professionals. As a prerequisite, you should already have a basic working knowledge of Python and LLMs.

Learning objectives

• Build applications to implement common AI tasks such as summarization, translation, sentiment analysis, and text classification.
• Select a foundation model, including how to decide between the smaller or larger model sizes within a model family.
• Perform prompt engineering and inference programmatically with foundation model families including Llama, Mistral, and Claude.
• Fine-tune a foundation model to distill the capability of a larger model into a smaller one, or to train a model to respond in a preferable style.