Vector Database Projects: AI Recommendation Systems
Build practical AI recommendation systems using vector databases, Hugging Face NLP, and similarity search techniques.
Build practical AI recommendation systems using vector databases, Hugging Face NLP, and similarity search techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Vector Database Fundamentals Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
Richa Arora
English
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What you'll learn
Create AI recommendation systems using vector databases
Implement similarity search with Hugging Face NLP tools
Build a food recommendation system using ChromaDB
Develop a job search recommendation platform
Master vector database operations for AI applications
Skills you'll gain
This course includes:
0.12 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There is 1 module in this course
This hands-on course focuses on building AI-powered recommendation systems using vector databases. Students learn to implement real-world projects including a food search system and a job recommendation platform. The curriculum covers essential skills in vector databases, Hugging Face NLP tools, embeddings generation, and similarity search implementation. Through practical projects, learners develop expertise in creating sophisticated recommendation engines using platforms like ChromaDB, PostgreSQL, Cassandra, or MongoDB.
AI Recommendation Systems with Vector Databases
Module 1 · 5 Hours to complete
Fee Structure
Instructors
Empowering Businesses, Professionals, and Students with Job-Ready Skills
At IBM Skills Network, we understand the importance of building hands-on, job-ready skills quickly to stay competitive in today’s fast-paced world. Our courses, developed by industry experts at the forefront of technological innovation, cover key areas such as AI, software development, cybersecurity, data science, and business management. With real-world insights and practical learning in every module, we equip both individuals and teams with the future-focused technical and business knowledge necessary for success in an ever-evolving landscape.
Richa Arora
4.7 rating
29 Reviews
81,100 Students
8 Courses
Empowering Future Developers through MERN and MEVN Expertise
Richa Arora is a seasoned Full Stack Web Developer and subject matter expert at IBM, specializing in the MERN (MongoDB, Express.js, React, Node.js) and MEVN (MongoDB, Express.js, Vue.js, Node.js) technology stacks. With over nine years of experience in the field, Richa is dedicated to demystifying complex technical concepts for her students, guiding them from foundational knowledge to advanced skills in web development. Her teaching approach emphasizes hands-on projects and clear explanations, making the learning process enjoyable and rewarding for aspiring developers. Richa's mission is to equip her students with the tools and confidence needed to bring their innovative ideas to life, fostering a new generation of skilled web developers ready to tackle real-world challenges. Through her work at IBM and contributions to online education platforms like Coursera, she continues to inspire and empower learners in the ever-evolving tech landscape.
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