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Course Outline
Introduction to High-Dimensional Data
- Comprehending data dimensions
- Importance in AI and machine learning
Fundamentals of Vector Databases
- Defining vector databases
- Key features and benefits
- Comparing vector databases with traditional databases
Working with Vector Data
- Types of vector data
- Basic operations on vectors
- Introduction to vector embeddings
Indexing and Searching
- Simple indexing strategies
- Executing basic similarity searches
- Practical 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
- Building a small vector database
- Indexing and searching vector data
- Exploring real-world applications
Summary and Next Steps
Requirements
- Familiarity with fundamental database concepts
- No prior machine learning experience required
Target Audience
- Software developers
- Database administrators
14 Hours
