Vector Search with MongoDB & Cassandra

Keen to add vector search in NoSQL databases to your resume? A must-have skill for data scientists, ML engineers, and GenAI developers who are driving the future of AI-powered search. This course builds in-demand skills businesses need in just 1 week.

You will:

Gain in-demand vector search skills for NoSQL databases.
Learn how to store, index, and perform vector searches using MongoDB.
Explore vector storage and query techniques for Cassandra.
Apply vector search concepts to build real-world applications like movie recommendations, inventory systems, and personalized experiences.

Course overview:

Businesses use vector search in NoSQL databases to boost the accuracy and efficiency of AI-powered search and recommendation systems.

In this micro course, you’ll explore how to integrate vector search capabilities into NoSQL databases, focusing on MongoDB and Cassandra. You’ll learn how to store and index vector data, perform similarity searches, and apply these techniques to real-world use cases such as text similarity analysis, image classification, and recommendation systems.

Through practical labs, you’ll gain hands-on experience working with MongoDB and Cassandra, leveraging their unique features for storing, querying, and optimizing vector data. You’ll also apply your skills to build AI-driven applications for movie recommendations, inventory management, and personalized experiences. Then, in a final project, you’ll apply your skills to a hands-on, real-world challenge.

Enroll today and build valuable, job-ready skills in relational vector databases you can add to your resume in just 1 week!

Prerequisites:

To get the most from this course, you should have foundational knowledge of MongoDB, Cassandra, and Node.js and be familiar with vector databases and their applications.

Related Program:

This course is part of the Vector Database Fundamentals Specialization. If you’re keen to build job-ready skills in vector databases, we recommend you enroll for the full program and work through the courses in order. Within a short time, you’ll have valuable skills and practical experience employers look for on your resume!

Course Syllabus:

Module 0: Welcome

Module 0: Welcome
Video: Course Introduction
Reading: General Information
Reading: Learning Objectives and Syllabus
Reading: Grading Scheme
Reading: How to Make the Most from This Course

Module 1: Vector Search Implementation in NoSQL Databases

Reading: Module Introduction and Learning Objectives
Video: Introduction to MongoDB
Lab: Setting Up MongoDB Cloud Account
Video: Vector Search in MongoDB
Lab: [Optional] Setting Up MongoDB Docker
Video: Storing and Indexing Vectors in MongoDB
Video: Performing Vector Search in MongoDB
Lab: News Finder Service with MongoDB Atlas
Lab: Books Plot Search with MongoDB Atlas
Video: Introduction to Cassandra
Video: Vector Search in Cassandra
Lab: [Optional] Setting Up Cassandra Docker
Video: Performing Vector Search in Cassandra
Video: Storing and Querying Vectors in Cassandra
Lab: Songs Discovery Service with Cassandra Vector DB
Lab: Product Review Search with Cassandra Vector DB
Practice Quiz: Vector Search Implementation in NoSQL Databases
Reading: Summary: Vector Search Implementation in NoSQL Databases
Reading: Course Glossary: Vector Search Implementation in NoSQL Databases
Reading: Course Cheat Sheet: Vector Search Implementation in NoSQL Databases
Graded Quiz: Vector Search Implementation in NoSQL Databases

Module 2: Course Wrap-Up

Video: Course Wrap-Up
Reading: Congratulations and Next Steps
Reading: Thanks from the Course Team
Reading: Course Rating and Feedback

Vector Search with MongoDB & Cassandra

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