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The data foundation every model depends on: batch and streaming, ingestion, ETL and ELT, lakes and warehouses, validation, versioning, labeling, and data contracts.
All 72 lessons plus every future lesson, with runnable code and enterprise diagrams. One payment, lifetime access.
The retrieval half of every LLM product, taught where it actually breaks: the scale cliff between a demo and 5 million documents, chunking, reranking, hybrid search, and the document ingestion layer that quietly caps everything downstream.
The data foundation every model depends on: batch and streaming ingestion, ETL and ELT, lakes and warehouses, validation, versioning, labeling, imbalanced data, synthetic data, and data contracts.
Putting an LLM in a loop, done reliably: why per-step errors compound, the tool-calling contract, durable execution, memory and context, and why constraining an agent beats maximizing its autonomy.