Course Outline

Introduction to High-Dimensional Data

  • Understanding data dimensions
  • Importance in AI and machine learning

Basics of Vector Databases

  • What are vector databases?
  • Key features and benefits
  • Vector databases vs traditional databases

Working with Vector Data

  • Types of vector data
  • Basic operations on vectors
  • Introduction to vector embeddings

Indexing and Searching

  • Simple indexing strategies
  • Performing basic similarity searches
  • Use cases for similarity searches

Vector Databases and AI

  • How vector databases support AI
  • Simple AI applications using vector databases
  • Future trends in vector databases

Hands-On Exercises

  • Creating a small vector database
  • Indexing and searching vector data
  • Discussing real-world applications

Summary and Next Steps

Requirements

  • Familiarity with database principles
  • No prior experience with machine learning required

Audience

  • Software developers
  • Database administrators
 14 Hours

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Price per participant

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