Nov 17, 2026
Nov 17, 2026

AI in Production: Introduction to MLOps - Training at EPFL

Design, deploy, and operate reliable AI systems at scale
9:00h-17:00h
EPFL, Lausanne, Switzerland
Courses & Workshops
SDSC Team:

Presentation

Building machine learning models is only a fraction of the effort required to deliver value in production. Critical failures occur at the interface between data science and engineering: brittle pipelines, lack of reproducibility, poor monitoring, and unclear ownership. This 1-day workshop introduces the principles and practices of MLOps, focusing on how to operationalize ML systems reliably and efficiently. It covers classical DevOps methodologies and their adaptation to the ML lifecycle, including versioning, testing, deployment, and monitoring. The course emphasizes practical design choices and trade-offs required to move from notebooks to production-grade systems.

Main objectives:

  • Understand the core principles of DevOps and their extension to MLOps
  • Structure ML projects for reproducibility, versioning, and collaboration
  • Design and implement CI/CD pipelines adapted to ML workflows
  • Manage the full ML lifecycle, including experiments, models, and deployments
  • Monitor production systems, detect model or data drift, and trigger retraining workflows

Topics covered:

DevOps principles and culture – continuous integration, continuous delivery, automation, and infrastructure as code / Version control, testing strategies, and deployment pipelines / From DevOps to MLOps – adapting engineering practices to the ML lifecycle, experiment tracking, model versioning, and governance / Production ML systems – model deployment strategies, monitoring, drift detection, and continuous retraining workflows.

Details

Prerequisites

To make the most of this course, participants should have:
• Intermediate programming skills in Python
• Basic understanding of ML fundamentals and LLM applications

Participants are required to bring their own laptop for hands-on exercises.

Course fee*

1,000.- Swiss Francs

* 10% special discount for contributing members of EPFL Alumni and EPFL VPI partners, SDSC partners, EPFL AI Center and SNAI partners.

Registration deadline

September 24, 2026

Number of participants is limited

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