Back to Resources

An applied course on moving analytics and machine learning into production on cloud platforms. Students build and deploy data and ML pipelines, practicing extract-transform-load processes, data-quality monitoring, and serving models as APIs, with coverage of cloud warehousing, machine-learning operations, and generative AI applications.
- Level
- Graduate
- Department
- Questrom
- Credits
- 3
- Prerequisites
- QST BA 600, 602, 780, 810, 820
- BU Bulletin
- View in the BU Bulletin
Last verified: August 22, 2026
Suggest a correction