
This course provides a comprehensive introduction to the principles and practices of data engineering and machine learning operations (MLOps). Designed for aspiring data engineers and machine learning practitioners, the curriculum covers the end-to-end data pipeline, from data collection and storage to processing, analysis, and deployment of machine learning models in production environments. Students will learn to build robust, scalable, and efficient data infrastructures while implementing MLOps strategies to ensure reliable and reproducible machine learning workflows.
- Teacher: Ninlawat Phuangchoke
- Teacher: Chantri Polprasert