Hey SweetOps! If you're the one dealing with data pipeline reliability and now getting pulled into RAG or LLM data work, this might be worth your time. There's a hands on workshop on August 1 with Nikola Ilic, called "Designing Data Engineering Workflows for LLM Applications." You build a full production ready pipeline live during the session, ingestion, chunking, metadata, embeddings, vector storage, retrieval, and evaluation. It also covers the batch versus incremental refresh question, along with versioning and monitoring once things are live, the same operational concerns you already deal with, just applied to RAG pipelines instead of traditional infrastructure. You walk away with the source code, slides, and hands on lab files, plus a recording and certificate. 4 hours, code first throughout, Python and basic API/JSON familiarity required. Full details here: eventbrite.co.uk/e/designing-data-engineering-workflows-for-llm-applications-hands-on-tickets…?aff=sop1