Data Engineering Pipelines for AI provides a practical, hands-on introduction to designing, building, and managing the data pipelines that power modern AI systems. The course focuses on how to collect, clean, transform, and orchestrate large-scale data flows using contemporary tools and architectures, ensuring data is reliable, accessible, and optimized for machine learning. Participants will learn how to build end-to-end pipelines that integrate batch and real-time processing, support model training and deployment, and maintain high performance, governance, and scalability across enterprise AI environments.