Course Description:
This course covers sophisticated data management techniques for AI systems, focusing on data fabric architectures and advanced vector operations. Learners will design multi-cloud integrations, enforce policies, and optimize high-dimensional data handling for scalable AI workflows.

 

Lecture 1: Data Fabric Implementation
Explore strategies for implementing data fabric across hybrid cloud environments. Learn to enforce policies, integrate systems, and enhance customer experiences through unified data management.

Key Objectives:

• Multi-hybrid cloud strategies
• Policy enforcement
• Cross-system integration
• Customer experience enhancement

 

Lecture 2: Advanced Vector Operations
Master high-dimensional embeddings and similarity search optimization. Understand index management techniques for large-scale vector data in AI applications.

Key Objectives:

• High-dimensional embedding strategies
• Similarity search optimization
• Index management at scale