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Duration 14 hours
Course Outline
Introduction to High-Dimensional Data
- Comprehending data dimensions
- Significance in AI and machine learning contexts
Fundamentals of Vector Databases
- Defining vector databases
- Primary features and advantages
- Comparison with traditional databases
Manipulating Vector Data
- Categories of vector data
- Essential vector operations
- Overview of vector embeddings
Indexing and Search Mechanisms
- Basic indexing approaches
- Executing simple similarity searches
- Practical scenarios for similarity-based retrieval
Vector Databases and Artificial Intelligence
- How vector databases facilitate AI workflows
- Basic AI applications leveraging vector databases
- Emerging trends in vector database technology
Practical Exercises
- Building a small-scale vector database
- Indexing and querying vector data
- Exploring real-world use cases
Summary and Future Directions
Requirements
- A working knowledge of core database principles
- No prior experience in machine learning is necessary
Target Audience
- Software developers
- Database administrators
