Mastering Vector Databases for Scalable AI Solutions Training Course
A vector database is a specialized repository designed to store, index, and query high-dimensional vector data efficiently, facilitating advanced search and retrieval operations for AI applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.
By the end of this training, participants will be able to:
- Understand the principles of vector databases.
- Learn techniques for creating and managing vector embeddings.
- Explore indexing strategies for high-dimensional data.
- Develop skills for performing efficient similarity searches.
- Apply vector database knowledge to machine learning projects.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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Course Outline
Introduction
- What are vector databases?
- Vector databases vs traditional databases
- Overview of vector embeddings
Generating Vector Embeddings
- Techniques for creating embeddings from various data types
- Tools and libraries for embedding generation
- Best practices for embedding quality and dimensionality
Indexing and Retrieval in Vector Databases
- Indexing strategies for vector databases
- Building and optimizing indices for performance
- Similarity search algorithms and their applications
Vector Databases in Machine Learning (ML)
- Integrating vector databases with ML models
- Troubleshooting common issues when integrating vector databases with ML models
- Use cases: recommendation systems, image retrieval, NLP
- Case studies: successful implementations of vector databases
Scalability and Performance
- Challenges in scaling vector databases
- Techniques for distributed vector databases
- Performance metrics and monitoring
Project Work and Case Studies
- Hands-on project: Implementing a vector database solution
- Review of cutting-edge research and applications
- Group presentations and feedback
Summary and Next Steps
Requirements
- Basic knowledge of databases and data structures
- Familiarity with machine learning concepts
- Experience with a programming language (preferably Python)
Audience
- Data scientists
- Machine learning engineers
- Software developers
- Database administrators
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
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