Enroll Course: https://www.coursera.org/learn/vector-search-with-relational-databases-using-postgresql
In today’s data-driven world, the ability to perform lightning-fast searches and power sophisticated applications like recommendation engines is paramount. The vector database market is booming, projected to grow at a 23% CAGR by 2032. For many, the question arises: how can we leverage these powerful capabilities within the familiar landscape of relational databases?
Coursera’s “Vector Search with Relational Databases using PostgreSQL” micro-course offers a compelling answer. This course is designed for a broad audience, including aspiring data scientists, ML engineers, Gen-AI engineers, software developers, and anyone working with data who wants to acquire in-demand skills.
The course kicks off with a solid recap of Relational Database Management Systems (RDBMS), ensuring a common understanding before diving into the specifics of vector data. The core of the syllabus focuses on how RDBMS structures can be adapted to support vector data types and queries. This is where the magic happens – learning to implement similarity search tasks using specialized operators within PostgreSQL.
The practical application is a key strength of this course. You’ll get hands-on experience creating `tsvector` data, performing `tsquery` tasks, and executing bulk inserts. The course thoughtfully covers integration with popular programming languages, demonstrating how to use `pg-vector` for Node.js and `psycopg2` for Python. This practical approach ensures you can immediately apply your newfound knowledge to real-world projects.
Whether you’re looking to enhance existing applications with intelligent search capabilities or build new, cutting-edge solutions, this course provides the foundational knowledge and practical skills needed to harness the power of vector search within PostgreSQL. It’s an excellent investment for anyone looking to stay ahead in the rapidly evolving field of data and AI.
Enroll Course: https://www.coursera.org/learn/vector-search-with-relational-databases-using-postgresql