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Support GSAPP
Data Infrastructure and Management in the Context of AI
This course focuses on developing the engine room skills required to design and manage modern data systems. It aims to build foundational capabilities in data infrastructure, pipeline design, and architectural thinking as durable skills that support analytical work and AI-enabled systems across contexts. The course emphasizes infrastructure fundamentals through engagement with a modern technical stack including SQL, Python, APIs, and cloud storage, focusing on how data is orchestrated from raw sources to downstream interfaces. Core topics examine how data moves through systems, how readiness and reliability are established, and how design choices shape system behavior over time. The course further develops literacy by examining how traditional analytical workflows connect to emerging system architectures, including large language model-based interfaces. It culminates in the design of a system-ready data pipeline that demonstrates the ability to translate complex data into a reliable, interpretable interface for end users.
UP Computer Lab (202 Fayerweather)
TU 6 PM - 8 PM
Session B
11917