"Grasp Vector DB Basics" is an intermediate course for machine learning practitioners and data professionals looking to understand the technology powering modern semantic search and AI applications. In an era where keyword search is no longer enough, this course builds a strong conceptual foundation, explaining how vector databases store and retrieve vector representations, how similarity-based retrieval differs from traditional database querying, and how these capabilities enable applications such as semantic search and recommendation.

You will transition from foundational theory to practical analysis, learning to explain what vector databases are, why their ability to understand relationships is a game-changer, and how to compare them against traditional databases. Through scenario-based assignments, you will build and defend a decision framework for choosing the right database and justify your choice to stakeholders. By the end, you will be equipped to analyze use cases and articulate the strategic value of vector databases.