Cursarium
intermediateFree

Vector Databases: from Embeddings to Applications

by Sebastian Witalec · DeepLearning.AI

4.5
(4,800 reviews)
80K+ enrolled1 hourUpdated 2024-06
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What You'll Learn

Understand the fundamentals and key concepts of vector databases
Apply vector databases techniques to solve real-world problems
Understand the fundamentals and key concepts of embeddings
Apply embeddings techniques to solve real-world problems
Understand the fundamentals and key concepts of RAG
Apply RAG techniques to solve real-world problems

About This Course

Learn how vector databases work under the hood and build semantic search and RAG applications with Weaviate.

Curriculum

Module 1: Vector databases & Embeddings
6 lessons
  • Introduction to vector databases
  • Vector databases in Practice
  • Hands-on Exercise: Vector databases
  • Introduction to embeddings
  • Embeddings in Practice
  • Hands-on Exercise: Embeddings
Module 2: RAG & Semantic search
6 lessons
  • Introduction to RAG
  • RAG in Practice
  • Hands-on Exercise: RAG
  • Introduction to semantic search
  • Semantic search in Practice
  • Hands-on Exercise: Semantic search
Module 3: LLMs
3 lessons
  • Introduction to LLMs
  • LLMs in Practice
  • Hands-on Exercise: LLMs

Instructor

Sebastian Witalec

Instructor at DeepLearning.AI

4.5rating80K+ students

Pros & Cons

Pros

  • Completely free to access
  • High-quality video lectures
  • Taught by Sebastian Witalec
  • Well-structured curriculum

Cons

  • No certificate provided
  • Self-paced requires discipline
Free
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