Advanced3 hours· 7 lessons

AI Data Engineering

Build the data infrastructure that powers AI applications. This path covers data pipelines for AI, feature engineering, vector databases, embedding management, data quality monitoring, and the specialized data engineering patterns required for LLM and RAG applications.

What You'll Learn

  • Design data pipelines optimized for AI workloads
  • Implement feature engineering for machine learning models
  • Set up and manage vector databases for RAG applications
  • Build embedding pipelines for semantic search and retrieval
  • Monitor and maintain data quality for AI systems
  • Handle unstructured data ingestion at scale
  • Implement data versioning and lineage tracking

Course Lessons

1

Data Engineering for AI: How It Differs

18 min read

Understand how AI data engineering differs from traditional data engineering — new tools, patterns, and challenges specific to AI workloads.

2

Building AI Data Pipelines

22 min read

Design and implement data pipelines that handle the ingestion, transformation, and serving patterns required by AI applications.

3

Feature Engineering for ML Models

22 min read

Master feature engineering techniques including feature stores, real-time feature computation, and automated feature selection.

4

Vector Databases and Embedding Management

25 min read

Set up vector databases like Pinecone, Weaviate, and pgvector. Learn embedding generation, indexing strategies, and query optimization.

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5

Unstructured Data Processing at Scale

20 min read

Handle documents, images, audio, and video data for AI applications — OCR, transcription, chunking strategies, and metadata extraction.

6

Data Quality and Monitoring for AI

18 min read

Implement data quality checks, drift detection, and monitoring systems that ensure AI models receive reliable data in production.

7

Data Versioning and Lineage

15 min read

Track data provenance, version datasets, and maintain lineage from raw data through to model predictions for reproducibility and compliance.

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