Ementorhub

What you'll learn

Describe the significance of vector databases in contemporary data management systems and their importance in generative AI applications.

Differentiate between vector and traditional databases and select a vector database type based on its characteristics and uses.

Set up environments for vector database operations and perform update, delete, and collection-related tasks.

Demonstrate your vector database skills and implement similarity searches using real-world data sets.

Skills you'll gain

Database Architecture and Administration

Database Management

Generative AI

Image Analysis

Data Architecture

Databases

Data Storage Technologies

NoSQL

AI Personalization

Scalability

There is 1 module in this course

In this introductory microcourse, you'll build your knowledge of vector database fundamentals and explore the importance of vector databases in today’s data management landscape. Then, dive into how vector databases differ from traditional databases and learn about vector database types and their uses. You’ll also gain hands-on experience setting up environments for vector database operations and performing day-to-day database tasks using Chroma DB. You will learn how to: • Set up environments for vector database operations. • Perform update, delete, and collection-related tasks. • Demonstrate vector database skills and implement similarity searches using real-world data sets. This microcourse is built to provide you with broad, foundational vector database knowledge. This course is for engineers, data scientists, machine learning engineers, DevOps engineers, AI Engineers, and others who work with or intend to build large language models (LLMS), generative AI applications, and related transformative technologies. Enroll today and learn how to take advantage of the efficiencies that vector databases offer!