Course Outline

Introduction to Vector Databases

  • Understanding vector databases
  • Pinecone's role in AI applications
  • Benefits over traditional databases

Semantic Search with Pinecone

  • Principles of semantic search
  • Setting up Pinecone for text-based searches
  • Enhancing search results with vector embeddings

Product and Multi-modal Search

  • Techniques for accurate product recommendations
  • Combining text and image data for comprehensive search
  • Case studies (e.g. e-commerce applications)

Conversational AI and Content Generation

  • Improving chatbots with vector search
  • Vector databases in text and image generation
  • Building a simple Q&A bot

Security and Personalization

  • Vector databases in anomaly and fraud detection
  • Personalizing user experiences with vector data
  • Personalization in media platforms

Scalability and Performance Optimization

  • Challenges in scaling vector databases
  • Pinecone's serverless architecture for performance
  • Metrics for monitoring and optimizing vector databases

Implementing Pinecone in AI

  • Developing a vector database solution
  • Review and feedback

Summary and Next Steps

Requirements

  • Basic understanding of databases
  • Introductory knowledge of AI and machine learning concepts
  • Familiarity with programming concepts

Audience

  • Data scientists
  • Software developers
  • Machine learning enthusiasts
 21 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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