Quickstarts¶

Use the following quickstarts to help you get up to speed with Snowflake ML.

Quickstart	Topic	Level	Available in Free Trial	Accompanying Video	Featured Capabilities
Getting started with Snowflake ML	End-to-End	Beginner	Yes	N/A	Notebooks, Container Runtime, Feature Store, Model Registry, ML Explainability
Getting Started with Snowflake Container Runtime	Model Development	Beginner	No	N/A	Notebooks, Container Runtime
Train an XGBoost Model with GPUs using Snowflake Notebooks	End-to-End	Advanced	No	Accelerate the training of an XGBoost model with GPUs on Snowflake Notebooks	Notebooks, Container Runtime
Scale Embeddings with Snowflake Notebooks on Container Runtime	Model Development	Advanced	No	Converting Data into Vector Representations	Notebooks, Container Runtime
Getting Started with Distributed PyTorch with Snowflake Notebooks	End-to-End	Advanced	No	Getting Under the Hood of Snowflake ML	Notebooks, Container Runtime, Model Registry, Streamlit in Snowflake
Defect Detection Using Distributed PyTorch with Snowflake Notebooks	End-to-End	Advanced	No	Using Snowflake ML to Build Computer Vision Models	Notebooks, Container Runtime, Model Registry, Streamlit in Snowflake
Introduction to Snowflake Feature Store with Snowflake Notebooks	MLOps	Beginner	Yes	N/A	Notebooks, Feature Store
Getting Started with Snowflake Feature Store API	MLOps	Beginner	Yes	N/A	Notebooks, Feature Store
Develop and Manage ML Models with Feature Store and Model Registry	MLOps	Advanced	Yes	Snowflake Feature Store	Notebooks, Feature Store, Model Registry
Getting Started with ML Observability in Snowflake	MLOps	Beginner	Yes	N/A	Notebooks, Model Registry, ML Observability