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March 4, 2024
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This course is part of Vector Database Fundamentals Specialization
Instructors: Skill-Up EdTech Team
Included with
(24 reviews)
Recommended experience
Intermediate level
You should have basic knowledge of MongoDB, Cassandra, and Node.js and be familiar with vector databases and their applications.
(24 reviews)
Recommended experience
Intermediate level
You should have basic knowledge of MongoDB, Cassandra, and Node.js and be familiar with vector databases and their applications.
Sought-after vector search skills in NoSQL databases that businesses need in just one week
How to store and index vectors efficiently and perform vector searches in MongoDB
How to store and query vectors and perform vector searches in Cassandra
How to apply vector search concepts to building practical applications like movie recommendation systems, inventory management, and personalization
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The vector database market is set to grow at a 20% CAGR by 2032 (Global Market Insights). This course gives data scientists, ML engineers, GenAI engineers, and software developers the sought-after skills for performing vector searches in NoSQL databases.
Businesses carry out vector searches in NoSQL databases to improve an AI model's search accuracy and efficiency. During this micro course, you'll learn how to store and index vectors in MongoDB, perform vector searches, and apply the techniques in text similarity analysis and building image classification systems. Plus, you'll look at Cassandra, its features for storing and querying vectors, and how to carry out vector searches. You'll also examine how to apply these concepts to building applications for movie recommendation, inventory management, and personalization. Plus, you'll get valuable practice applying your knowledge through hands-on labs and a real-world final project. Note that this micro course is part of the Vector Database Fundamentals specialization, which is ideal for professionals who work with vector databases, relational databases, and NoSQL databases for AI. It requires a basic knowledge of MongoDB, Cassandra, and Node.js.
Welcome to this module, where you’ll explore integrating vector search capabilities with NoSQL databases such as MongoDB and Cassandra. You’ll explore the fundamentals of MongoDB and Cassandra, its features for storing and querying vectors, and how to perform efficient vector searches. You’ll also learn how to leverage the unique features of each database system to perform efficient vector searches and build practical applications such as text similarity analysis and recommendation systems.
10 videos5 readings3 assignments4 app items6 plugins
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Reviewed on Oct 21, 2024
The content and labs of this course are very helpful to upgrade your skills.
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To get the most out of this course, it is useful if you already have a working knowledge of NoSQL database operations and applications.
It is also recommended that you have experience of working with Node. js and MongoDB.
This course is part of the Vector Database Fundamentals specialization.
When you complete the specialization, you will have valuable skills for roles such as machine learning engineers, generative AI engineers, database administrators, vector database application developers, data scientists, and geo-spatial engineers.
Only a modern web browser is required to complete this course and all hands-on labs.
You will get access to cloud-based environments to complete the labs at no charge.
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.