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Vector Database Projects: AI Recommendation Systems
Coursera
Course
Unknown

Vector Database Projects: AI Recommendation Systems

IBM

Build AI-powered recommendation systems using vector databases through hands-on projects designed to develop advanced, job-ready skills.

Unknown2 weeksEnglish

About this Course

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, you’ll create two shareable projects that demonstrate your proficiency and readiness to develop AI-powered recommendation systems.  You’ll get step-by-step instructions t

What You'll Learn

  • Gain job-ready skills in AI-powered recommendation systems
  • Use NLP tools and embeddings for similarity search
  • Build a real-world food recommendation system using Hugging Face and Chroma DB
  • Implement customized NLP job search vector database recommendation systems

Instructors

I

IBM Skills Network Team

R

Richa Arora

Topics

AI Personalization
Database Systems
Natural Language Processing
Embeddings
MongoDB
Hugging Face
Artificial Intelligence
Vector Databases

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التخصيص بالذكاء الاصطناعي
أنظمة قواعد البيانات
معالجة اللغة الطبيعية
التضمينات
MongoDB
Hugging Face
الذكاء الاصطناعي
قواعد البيانات الاتجاهية

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