Akademik Dersler - Tanıtım

Last Updated: 01/07/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
BVA230 - MLOps and Data Streaming Systems	IV. SEMESTER	2 +2	4.0

Language of Instruction	Türkçe
Course Type	Area Elective Courses
Course Instructor(s)	ÖĞR. GÖR. AHMET MÜCAHİD ARVASİ
Mode of Delivery	Face to face
Place of Delivery
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Prerequisites	There are no prerequisites or corequisites for this course.
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Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introduction to the Concept of MLOps: Machine Learning Lifecycle, DevOps - MLOps Relationship, and Maturity Levels
Week - 2		Experiment Tracking: Experiment Logging, Hyperparameter and Metric Monitoring with MLflow
Week - 3		Data and Model Versioning (DVC): Model Registry, Data Management, and Reproducibility
Week - 4		Model Packaging and Deployment 1: Containerization of Models (Docker) and Isolation of the Work Environment
Week - 5		Model Packaging and Deployment 2: Batch Processing and Online Serving Architectures
Week - 6		Continuous Integration and Deployment (CI/CD Pipelines) in Machine Learning
Week - 7		Model Monitoring: Performance Tracking, Detection of Data Drift and Concept Drift
Week - 8		Midterm Exam
Week - 9		Introduction to Real-Time Data Streaming: Message Queues and the Producer-Consumer Model
Week - 10		Apache Kafka Architecture: Topic, Partition, and Consumer Groups
Week - 11		Stream Processing and Time/Windowing Techniques
Week - 12		Machine Learning Model Integration with Kafka: Real-Time Inference on Streaming Data
Week - 13		Workflow Orchestration: Managing Data and Model Pipelines with Apache Airflow or Kubeflow
Week - 14		Project-Based Applications: End-to-End MLOps and Real-Time Data Streaming Project Presentations

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Assessment Method and Passing Requirements
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