AI Engineering 6
- Lakehouse Patterns for Retrieval and Semantic Search
- Prompt Version Governance for Data Teams
- Building Evaluation Datasets from Warehouse Data
- RAG Data Pipelines: Chunking, Metadata, and Freshness
- Feature-Ready Tables: Preparing Data for ML and GenAI Workloads
- Data Engineer to AI Engineer: A Practical Roadmap That Actually Works