Get practical tips for building fast feature stores that scale
Want to build latency-sensitive ML models that scale to millions of feature requests per second — and keep latency in single-digit milliseconds?
Join this free interactive developer workshop where we’ll build a real-time ML app with Python, Feast, and ScyllaDB (NoSQL). Along the way, you will discover the tools and best practices that developers at Tripadvisor, Medium, and ShareChat use to ensure real-time inference with low latency at scale.
You’ll learn how to:
- Understand tradeoffs between online vs offline feature stores
- Set up your local development environment
- Train your model using offline features
- Serve features in real-time with online inference
- Make smart data modeling choices to optimize performance
Whether you’re a developer, ML engineer, or system architect… If you’re interested in building scalable low-latency ML systems, this workshop is for you.
