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Course Outline
Introduction to High-Dimensional Data
- Concepts of data dimensions
- Significance in AI and machine learning
Fundamentals of Vector Databases
- Definition of vector databases
- Primary features and advantages
- Comparison with traditional databases
Managing Vector Data
- Varieties of vector data
- Elementary vector operations
- Overview of vector embeddings
Indexing and Querying
- Basic indexing approaches
- Executing elementary similarity searches
- Practical applications of similarity queries
Integration of Vector Databases with AI
- How vector databases facilitate AI systems
- Basic AI solutions leveraging vector databases
- Emerging trends in vector database technology
Practical Exercises
- Building a small-scale vector database
- Indexing and querying vector information
- Exploring real-world use cases
Recap and Subsequent Actions
Requirements
- General knowledge of database concepts
- No existing machine learning background necessary
Target Audience
- Software engineers
- Database administrators
14 Hours
