Foundations of AI Native Data Engineering
Completed by Indiana Jeremy teremiti Tempié
August 24, 2026
19 hours (approximately)
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What you will learn
1.Explain how AI-native data engineering differs from traditional pipeline design.
2.Describe LLMs, embeddings, vector databases, and RAG from a data engineering perspective.
3.Map AI workload requirements to data platform components and lifecycle responsibilities.
4.Build a small semantic search or RAG-oriented workflow.
Skills you will gain
- Category: Infrastructure Architecture
- Category: Metadata Management
