Free Download Introduction to Milvus (Vector Database) Using Python
Last updated 5/2024
Created by Vijay Anand Ramakrishnan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 33 Lectures ( 1h 52m ) | Size: 415 MB
Learn the basics of Milvus (Vector Database), learn to work with Milvus using PyMilvus and more !
What you'll learn:
Basics of Vector databases
Introduction to Milvus and Installing Milvus
Collections, Partitions and Indexes in Milvus
PyMilvus - Python SDK for Milvus
A Real world Example using Milvus
Role Based Access Control in Milvus
Attu - UI based tool for managing Milvus
Requirements:
Python
Docker and Docker Compose
Basic Linux Commands
Description:
Milvus is the world's first open-source vector database system that can store, index, and search across Billions of vectors! Vector databases are one of the emerging technologies of the decade supporting modern AI tools and learning Milvus to build highly scalable and real-time AI applications can help you progress faster in your career.This course will provide you with solid practical Skills in Milvus using its Python SDK (PyMilvus). Before you begin, you are required to have basic knowledge onPython ProgrammingLinux CommandsDocker and Docker ComposeSome of the highlights of this course areAll lectures have been designed from the ground up to make the complex topics easy to understandAmple working examples demonstrated in the video lecturesDownloadable Python notebooks with the examples that were used in the coursePrecise and informative video lecturesQuiz at the end of important video lecturesCovers a wide range of fundamental topics in Milvus After completing this course, you will be able toInstall and work with Milvus using PythonManage Collections and indexes in MilvusPerform vector search on vectors stored in Milvus Manage users and roles in MilvusUse Attu, a web-based UI that can be used to manage MilvusUse Milvus to build scalable AI appsThis course will be updated periodically and enroll now to get lifelong access to this course! Course Updates:17-05-2024 - Updated the course for version 2.4.1. updated the video lectures on Collection, Indexes and installation. Added new lecture videos on Dynamic schema and custom partition key.01-02-2024 - Updated the quiz section under collections and indexes04-11-2023 - Added a new section with working examples04-07-2023 - Added quiz on Flat, IVF, Scalar quantization, Product Quantization, and HNSW Indexes25-06-2023 - Added a new chapter of video lectures on Milvus Indexes11-06-2023 - Updated the quiz questions
Who this course is for:
Data Scientists
AI Engineers
Machine learning Engineers
MLOps Engineers
Data Engineers
Anyone who is motivated to learn and work with a Vector database
Homepage
Code:
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