Sofi Virtual Hands on Lab

Join us for an interactive learning experience that will give you tips and tricks into Snowflake ML and how to apply them in your role, whether it’s Data Science, Engineering, or Analytics. This hands-on lab puts you directly into Snowflake's unified ML platform, where you'll build, train, and deploy models using your governed data - all within a single, secure environment.

What You'll Experience

End-to-End ML in Action: Work hands-on with Snowflake's integrated ML capabilities including:
 

• Snowflake Notebooks on Container Runtime - Jupyter-like environment with preinstalled ML packages

• Feature Store - Automated feature engineering and management from your data

• Model Training & Experiments - Build and compare models with CPU/GPU compute

• Model Registry & Deployment - Operationalize models for scalable inference

• Cortex AI Functions - Leverage LLMs for text analysis, translation, and document processing

Real-World Application: You'll work through practical scenarios that demonstrate how to:
 

• Engineer features at scale without moving data

• Train models using popular frameworks (PyTorch, XGBoost, Scikit-learn)

• Deploy models for production inference

• Monitor model performance and drift

• Implement ML observability and explainability