MLOps, Spring Semester 2025
Undergraduate Course, Aalborg University, Department of Architecture, Design and Media Technology, 2025
https://moduler.aau.dk/course/2023-2024/MSNDAKIB4232?lang=da-DK
Drift af AI-systemer (DAKI4 / MLOps) is a hands-on course on taking ML from notebook to production. Students build an end-to-end MLOps pipeline covering reproducibility and config, CI/CD (branching, pre-commit, unit tests, GitHub Actions), scalable training (multi-GPU/DDP, multi-node, AMP, DeepSpeed/ZeRO), scalable inference (profiling, quantization, pruning, batching, TensorRT), deployment (APIs, containerization/orchestration, mobile demo), and monitoring (drift, observability with Prometheus/Grafana, carbon/cost tracking). Post-deployment topics include continual learning, unlearning, privacy, and human-in-the-loop.