MLOps 101 – ML Engineering Foundations

(Weeks 1–2 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:

• Understand ML system design and architecture
• Refactor ML code for production readiness
• Implement data validation and feature engineering pipelines
• Apply reproducibility and version control practices
  Prerequisite: Python programming, basic machine learning familiarity
  Tools: TensorFlow Extended (TFX), MLflow, Git