Machine Learning Engineering and Operations


Ertekin Bolelli Ş.

  • Dersin Düzeyi: Yüksek Lisans
  • Tasarlanan Ders Kodu: AIX7864
  • Öğretim Türü: Örgün Öğretim (Normal Öğretim)
  • Dersin Kapsamı: Teorik ve Uygulama
  • Akademik Yıl: 2025 - 2026
  • Ders İçeriği:

    This course focuses on engineering and operating production-ready machine learning systems. Students learn how to transform research code into reproducible, maintainable, and scalable ML solutions through data and model versioning, experiment tracking, automation, deployment, and CI/CD.

    The course covers the full ML lifecycle using standard process models (e.g., CRISP-DM), collaborative Git workflows, and best practices for treating data as a first-class asset. Through hands-on practice, students build automated training pipelines and deploy inference services, while analyzing trade-offs between online, offline, and hybrid deployment strategies.