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Duration 14 hours
Course Outline
Introduction to High-Dimensional Data
- Comprehending data dimensions
- Significance in AI and machine learning
Foundations of Vector Databases
- Definition and overview of vector databases
- Primary features and advantages
- Comparison with traditional databases
Handling Vector Data
- Categorization of vector data types
- Basic manipulations of vectors
- Overview of vector embeddings
Indexing and Search Operations
- Elementary indexing approaches
- Executing fundamental similarity searches
- Practical examples of similarity search usage
Integration with AI
- Mechanisms by which vector databases enhance AI
- Basic AI use cases leveraging vector databases
- Emerging trends in vector database technology
Practical Exercises
- Construction of a small-scale vector database
- Indexing and querying vector data
- Exploration of real-world applications
Conclusion and Future Directions
Requirements
- A solid understanding of core database concepts
- No previous background in machine learning is necessary
Target Audience
- Software developers
- Database administrators
