Course Outline

Introduction to Vector Databases

  • Understanding vector databases
  • Key features and benefits of Milvus
  • Comparison with traditional databases

Setting Up Milvus

  • Installation and configuration
  • Understanding Milvus components and architecture
  • Creating collections and partitions

Data Indexing and Management

  • Indexing strategies in Milvus
  • Managing and optimizing vector data
  • Best practices for data ingestion

Similarity Search and Retrieval

  • Fundamentals of similarity search
  • Implementing search operations in Milvus
  • Use cases: image and video retrieval, NLP

Milvus in Machine Learning (ML)

  • Integrating Milvus with ML models
  • Building recommendation systems
  • Case studies: anomaly detection, chatbots

Scalability and Performance

  • Scaling Milvus for large datasets
  • Performance tuning and optimization
  • Monitoring and maintenance

Implementing Milvus 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, preferably in Python

Audience

  • Data scientists
  • Software developers
  • Machine learning enthusiasts
 21 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.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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