This course is a transformative course designed to help both aspiring and experienced data engineers harness the power of generative AI to enhance productivity, streamline workflows, and modernize data ecosystems across industries. As generative AI reshapes the field, data engineers now have access to advanced tools that can automate, optimize, and elevate every stage of the data engineering lifecycle. Data engineering is evolving rapidly, shifting from traditional pipeline construction to intelligent, AI-augmented workflows.

This course explores how generative AI enhances data infrastructure, schema design, ETL workflows, data modeling, metadata management, and analytical processes. You’ll learn how to integrate generative models into core data engineering tasks—including architecture design, database querying, data warehouse schema creation, data augmentation, pipeline automation, and data quality evaluation.