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B.Eng DegreeFaculty of Faculty of Engineering & TechnologySoftware Engineering
SWE 407: Machine Learning Systems Engineering (MLOps)
Engineering production software systems incorporating machine learning models. The ML engineering lifecycle, data versioning with DVC, model experiment tracking and registry with MLflow, automated feature stores, continuous training pipelines, low-la...
Course Overview
Engineering production software systems incorporating machine learning models. The ML engineering lifecycle, data versioning with DVC, model experiment tracking and registry with MLflow, automated feature stores, continuous training pipelines, low-la... Curriculum Structure &...
What You'll Learn
- Version machine learning datasets, model artifacts, and feature pipelines reproducibly using DVC and Git.
- Track model training experiments, hyperparameters, and metrics using MLflow.
- Deploy low-latency, scalable model inference microservices with health checks and batching.
- Monitor production models for statistical data drift and concept drift using Evidently AI.
- Build automated CI/CD retraining pipelines triggered by performance degradation.
Requirements
- SWE 104
- SWE 201
Degree Programme Curriculum Context
This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Software Engineering degree framework in Nigeria.
Earn Your Certificate
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Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•0 Lecture
•0s
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
Reviews
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Free
Course Includes
8 Chapters
0 Lectures
1 week
Skill Level advanced
Taught in English
Lifetime Access
Certification of Completion
Category: University - Software Engineering
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