Vector Databases for AI Applications

Data Engineering · 02 Days · 16 Hours · Intermediate

Vector Databases for AI Applications is a focused two-day course covering the infrastructure layer behind retrieval-augmented generation (RAG), semantic search, and recommendation systems — one of the fastest-growing specializations in applied AI engineering as organizations move generative AI proofs-of-concept into production. Vector search has become foundational infrastructure for grounding LLMs in an organization's own data, and the ability to select, design, and operate a vector database is now a distinct, in-demand skill separate from prompt engineering or general LLM application develo…