Udemy – Introduction to Milvus (Vector Database) Using Python 2024-5

Description

Course Introduction to Milvus (Vector Database) Using Python. Milos is the world’s first open source vector database that can store, index and search billions of vectors. Vector databases are one of the emerging technologies of the decade that support modern AI tools, and learning Milos to build highly scalable, real-time AI applications can help you advance in your career faster. This course provides you with comprehensive hands-on skills in Milos using its Python SDK (PyMilvus). Before starting, you should have basic knowledge of Python programming, Linux commands, Docker and Docker Compose. After completing this course, you will be able to:

• Installing and working with Milos using Python
• Management of collections and indexes in Milos
• Perform vector search on vectors stored in Milos
• Managing users and roles in Milos
• Using Attu, a web-based user interface used to manage Milos
• Using Milos to build scalable AI applications

What you will learn in the Introduction to Milvus (Vector Database) Using Python course

• Basics of vector databases
• Introducing Milos and installing Milos
• Collections, partitions and indexes in Milos
• PyMilvus – Python SDK for Milos
• A real world example using Milos
• Role-based access control in Milos
• Attu – a user interface based tool for Milos management

This course is suitable for people who

• Data scientists
• Artificial intelligence engineers
• Machine learning engineers
• MLOps Engineers
• data engineers
• Anyone motivated to learn and work with a vector database

Course specifications Introduction to Milvus (Vector Database) Using Python

• Publisher:  Udemy
• Lecturer:  Vijay Anand Ramakrishnan
• Training level: beginner to advanced
• Training duration: 1 hour and 52 minutes
• Number of courses: 33

Course headings

Course prerequisites

• Python
• Docker and Docker Compose
• Basic Linux Commands

Course images

Sample video of the course

download link

Download file – 336 MB

File(s) password: www.downloadly.ir

File size

336 MB