Demonstrate your proficiency with vector database development by completing this capstone course! In this course, you will implement your skills in two real-life inspired projects, a guided practice project, and a final project. You will use your expertise to develop successful solutions.
In both projects, you will use ChromaDB to create recommendation systems by generating embeddings for the data in your collection so your users can search the data using their choice of search terms. Based on those search terms and the embeddings, you will perform similarity searches using natural language processing (NLP) algorithms to provide your users with appropriate results.
Upon completion, you will have two working ChromaDB vector database projects to showcase to potential employers.
Before starting this course, we recommend completing the other mini-courses offered in the specialization.
Overview
Syllabus
- AI Recommendation Systems with Vector Databases
Taught by
IBM Skills Network Team and Richa Arora