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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
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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Public Training
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