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.
Vector Database Projects: AI Recommendation Systems
Vector Database Projects: AI Recommendation Systems
This course is part of Vector Database Fundamentals Specialization
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Job-ready proficiency with AI-powered database recommendation systems that you can immediately put to work and highlight on LinkedIn.
How to use Hugging Face natural language processing (NLP) tools, embeddings, and PDF classification skills for similarity search.
Build a real-world food search recommendation system using a Hugging face model and algorithms with Chroma DB.
Implement a customized real-world NLP job search vector database recommendation system using your choice of vector database platform.
Skills you'll gain
Details to know
Earn a career certificate
Add to your LinkedIn profile
Recently updated!
July 2024
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Vector Database Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There is 1 module in this course
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 peer’s 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.
What's included
2 videos4 readings1 assignment1 peer review4 app items4 plugins
Offered by
Recommended if you're interested in Software Development
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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