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Duration 21 hours
Course Outline
Introduction to Vector Databases
- Fundamentals of vector database technology
- The specific role of Pinecone in AI ecosystems
- Advantages over conventional database systems
Semantic Search with Pinecone
- Core principles of semantic searching
- Configuring Pinecone for text-based queries
- Optimising search relevance using vector embeddings
Product and Multi-modal Search
- Strategies for precise product recommendation engines
- Fusing text and image data for holistic search capabilities
- Real-world case studies (e.g. e-commerce platforms)
Conversational AI and Content Generation
- Enhancing chatbot responsiveness through vector search
- Utilising vector databases for text and image synthesis
- Constructing a basic Q&A bot
Security and Personalization
- Using vector databases for anomaly and fraud detection
- Tailoring user experiences via vector data analysis
- Applying personalisation techniques in media platforms
Scalability and Performance Optimization
- Addressing challenges in scaling vector databases
- Leveraging Pinecone's serverless architecture for optimal performance
- Key metrics for monitoring and tuning vector database systems
Implementing Pinecone in AI
- Developing a complete vector database solution
- Project review and constructive feedback
Requirements
- A foundational grasp of database systems
- Introductory insight into AI and machine learning principles
- General familiarity with programming logic
Target Audience
- Data scientists
- Software developers
- Machine learning practitioners
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 4800 € + VAT*
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