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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
