AICloud 102 – Data Engineering in the Cloud

(Weeks 3–4 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:

Prepare datasets for model training.
Prerequisite: AICloud 101 – Cloud Fundamentals for AI/ML
Tools: AWS Glue, Azure Data Factory, GCP Dataflow

Build cloud-based data pipelines for machine learning.

Use AWS S3, Azure Blob Storage, and GCP Cloud Storage.

Implement ETL workflows using cloud-native services.