PostgreSQL for AI Master SQL, pgvector & RAG Search 2026

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Every major LLM application requires a reliable, blazing-fast backend to store, filter, and search high-dimensional embeddings. While many developers scramble to adopt complex, standalone vector databases, industry leaders are turning to the most trusted relational database on earth: PostgreSQL.

This course is a comprehensive blueprint for building production-grade, AI-native backends using PostgreSQL and pgvector. Whether you are starting from scratch with relational database fundamentals or you are a seasoned performance engineer looking to master advanced vector geometry, this course bridges the gap between traditional relational database management systems (RDBMS) and modern AI infrastructure.