Vector Search with NoSQL Databases using MongoDB & Cassandra
Master vector search implementation in MongoDB and Cassandra for AI applications. Ideal for data scientists and ML engineers.
Master vector search implementation in MongoDB and Cassandra for AI applications. Ideal for data scientists and ML engineers.
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:
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What you'll learn
Learn to store and index vectors efficiently in MongoDB
Implement vector search capabilities in Cassandra
Build practical applications using vector search techniques
Develop text similarity analysis systems
Create recommendation engines using vector search
Skills you'll gain
This course includes:
0.78 Hours PreRecorded video
3 assignments, 4 lab exercises
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There is 1 module in this course
This comprehensive course focuses on implementing vector search capabilities in NoSQL databases, specifically MongoDB and Cassandra. The curriculum covers efficient vector storage, indexing, and search techniques in both platforms. Students learn practical applications including text similarity analysis, image classification systems, and building recommendation engines. The course combines theoretical knowledge with hands-on labs and real-world projects, preparing learners for implementing vector search solutions in enterprise environments.
Vector Search Implementation in NoSQL Databases
Module 1 · 4 Hours to complete
Fee Structure
Instructors
Leaders in Technology Education and Professional Development
SkillUp EdTech has established itself as a comprehensive education platform offering cutting-edge courses across multiple technology domains. Their course catalog spans crucial areas including Data Science, Cloud Computing, Artificial Intelligence, Blockchain, and Professional Certifications. Their teaching methodology combines theoretical knowledge with practical applications through hands-on labs, capstone projects, and real-world case studies. The platform offers both self-paced and instructor-led options, featuring one-on-one mentoring, live classes, and peer discussion forums. Their curriculum is designed in collaboration with industry leaders and academia, ensuring content remains relevant and aligned with current market demands. The platform specializes in certification preparation for various professional qualifications including CAPM, PMI-PgMP, CSM, and various Microsoft certifications. Their Generative AI series covers applications across multiple domains including HR, Business Intelligence, Product Management, and Project Management. The platform maintains a 67% course completion rate, significantly higher than the industry average, attributed to their human-centered approach and comprehensive support system. Their partnerships with major technology companies ensure course content reflects current industry standards and practices, while their focus on practical experience through projects and labs helps students develop job-ready skills
Expert Full Stack Developer and Educator at IBM
Richa Arora is a seasoned Full Stack Web Developer specializing in the MERN (MongoDB, Express.js, React, Node.js) and MEVN (MongoDB, Express.js, Vue.js, Node.js) stacks. With over nine years of experience in the field, she is dedicated to empowering students by simplifying complex technical concepts and guiding them through an engaging learning journey from foundational skills to advanced web development techniques. Richa's teaching approach emphasizes clear explanations and hands-on projects, making the learning process enjoyable and effective for aspiring developers.Currently affiliated with IBM, Richa teaches several courses on Coursera, including "Developing Front-End Apps with React," "JavaScript Programming Essentials," and "Mobile App Development Capstone Project." Her commitment to education extends beyond technical skills; she also focuses on preparing students for real-world applications of their knowledge. Through her work, Richa aims to equip learners with the necessary tools and confidence to succeed in the rapidly evolving tech landscape.
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