Vector Database Projects: AI Recommendation Systems

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Overview

The global recommendation engine market is predicted to grow 37% annually through 2030 (Straits Times). The expertise to predict user preferences and drive engagement using AI recommendation system skills has become an essential business need and a highly sought-after skill using vector databases. In this IBM mini-course, youll create two shareable projects that demonstrate your proficiency and readiness to develop AI-powered recommendation systems. Youll get step-by-step instructions to create a real-life inspired food ordering recommendation system using Chroma DB and...

Syllabus

AI Recommendation Systems with Vector Databases

You will create a job recommendation system for your final project in this module by applying many of the skills learned throughout this program. In the first lesson, you will learn about Hugging Face, a growing, open-source AI community. You will learn about several of their crowd-sourced NLP models and how to incorporate them into your projects. In lesson two, we provide you with a practice project before the final project. This non-graded project provides you with step-by-step instructions for building a recommendation system similar to the final project. You will complete the second project independently and will be graded by one of your peers. You will also evaluate one of your peers projects using a rubric with objective grading criteria. You also have the opportunity to demonstrate your comprehension of the final project by completing a graded quiz.