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Description
The best model trained on bad data will still produce bad results. This course focuses on the data layer of AI systems — ingestion, transformation, validation, and orchestration. You’ll work with modern tools like dbt, Airflow, and Spark to build pipelines that power real AI products.
What’s Inside:
- Data Engineering vs Data Science
- ETL vs ELT Patterns
- Apache Kafka for Streaming
- dbt for Transformation
- Apache Spark Essentials
- Data Quality and Validation
- Orchestration with Airflow
- Schema Design for AI
- Feature Stores Explained
- Data Lineage Tracking
- Incremental Load Strategies
- Project: Build an AI Data Pipeline
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