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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 general database principles.
- No prior experience in machine learning is required.
Target Audience
- Software developers.
- Database administrators.
14 Hours
