Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the power of feature platforms in AI innovation through this comprehensive MLOps Community Mini Summit. Dive into Tecton's journey in building a unified feature platform for large-scale real-time AI applications using Python, learn about Cleo's production-ready feature platform built with Feast, and discover how to build a feature platform from scratch. Gain insights from industry experts on key architectural tradeoffs, common pitfalls, and best practices in feature engineering. Understand the importance of real-time data processing, predictive features, and model integration in modern AI applications. Learn how Python enables collaboration, rapid iteration, and easy retrieval in enterprise-level AI projects. Explore topics such as subscription models for credit building, flexible feature engineering platforms, and advanced classifier improvements. Discover how compilers process definitions into actionable entities and how to manage state effectively. Gain knowledge about utilizing streaming cases for low-latency data and the use of RocksDB on SSDs for efficient data storage and retrieval. Read more