ML Engineering
Set Up a Feature Store with Feast
An ML engineering tutorial to build a feature store with Feast for centralized feature management.
Data Systems AcademyTutorials
Practice the lifecycle from ingestion to monitoring with guided, production-grade missions.
An ML engineering tutorial to build a feature store with Feast for centralized feature management.
A data engineering tutorial to build real-time streaming pipelines using Apache Kafka and Kafka Streams.
A GenAI tutorial to build a RAG system for document question answering using LangChain and vector databases.
An ML engineering tutorial on deploying models with versioning, monitoring, and rollback strategies.
A data engineering tutorial to implement automated data quality monitoring with Great Expectations and custom validators.
A beginner data engineering tutorial to build ingestion, validation, and monitoring for a reliable pipeline.