Skip to content

Udemy – Hands-On Introduction to Vector Databases 2026-7

Updated August 10, 2026 3.2 GB
Udemy – Hands-On Introduction to Vector Databases 2026-7

Download

About this item

Description

Hands-On Introduction to Vector Databases is a course on understanding and building applications with vector databases for modern AI systems published by Udemy Online Academy. Designed for software developers, AI engineers, machine learning specialists, and data scientists, this course explains how vector databases enable semantic search, retrieval-augmented generation (RAG), recommender systems, and other AI-based applications. Individuals will learn about vector embeddings, similarity search, indexing techniques, nearest neighbor algorithms, metadata filtering, database integration, and how to connect vector databases with large language models (LLMs).

This course provides a hands-on introduction to vector databases, one of the core technologies behind modern AI applications. You will start by understanding what embeddings are, how they represent the semantic meaning of text, and why traditional relational and NoSQL databases are not designed for similarity searching. You will learn how to create embeddings, store them in vector databases, and perform fast semantic searches that return results based on meaning rather than exact text matches. By the end of this course, you will be able to work with embeddings, perform semantic search, understand vector indexing strategies, and integrate vector databases into your AI applications.

What you’ll learn in the Hands-On Introduction to Vector Databases course:

  • Understand what vector databases are and when to use them
  • Learn how embeddings work and how to capture their semantic meaning
  • Set up and work with vector databases like Pinecone and Weaviate
  • Perform similarity searches and semantic queries
  • Implement retrieval-augmented generation (RAG) patterns
  • Work with metadata filtering and combinatorial search
  • Understand vector indexing algorithms like HNSW and IVF
  • And more…

Course Details

Publisher: Udemy
Instructor: Lukasz Kallas
Language: English
Level: Beginner
Number of lessons: 19
Time: 2 hours and 56 minutes

Course Topics

Hands-On Introduction to Vector Databases Content

Prerequisites for the Hands-On Introduction to Vector Databases course

Basic programming knowledge
Basic understanding of machine learning concepts helpful but not required

Course Images

Hands-On Introduction to Vector Databases

Hands-On Introduction to Vector course Databases introduction video

Installation Guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 1080p

Downloadly Link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 293 MB

Rapidgator Link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 293 MB

File(s) Password: www.downloadly.ir

File Size

3.2 GB