Introduction to Gen AI with Snowflake
2h 16mIntermediate2025-04-08
Authors
Snowflake, Inc
Course details
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.
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.
Skills covered
SnowflakeCloud StorageDatabase DevelopmentGenerative AIDatabase ManagementCloud ServicesArtificial Intelligence (AI)Cloud ComputingSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Navigating the generative AI revolution with Snowflake
- 02 - What we ll cover in this course
1. Introduction to GenAI on Snowflake
- 03 - Preparing your development environment
- 04 - Build a simple AI app in Snowflake
2. Snowflake Cortex s LLM-Based Functions
- 05 - Introduction
- 06 - Introduction to LLM functions and Cortex COMPLETE
- 07 - Task-specific LLM functions and helper functions
- 08 - Using the Cortex COMPLETE function
- 09 - Using task-specific Cortex LLM functions
- 10 - Using helper functions
- 11 - Getting ready to put it all together - Build a Streamlit app
- 12 - Module recap
3. Customize LLM Responses with Cortex Fine-Tuning
- 13 - What is Cortex fine-tuning
- 14 - Setting up your environment
- 15 - Analyzing customer support tickets
- 16 - Preparing your training data
- 17 - Starting the fine-tuning job
- 18 - Inference using fine-tuned model
- 19 - Streamlit app to autogenerate custom emails and text messages
- 20 - Module recap
- 21 - Continue your generative AI education