A guide to MLOps

We are a team of passionate software engineers and data scientists from the Swiss AI Center. With expertise in both Machine Learning (ML) and DevOps, we have taken on the challenge of providing a guide to transition ML projects from experimentation to production using MLOps practices.

Throughout this guide, we have tried to find the most suitable tools and best practices that minimize friction within established workflows and teams.

This guide is designed to be and practical, leading you step-by-step through the process of deploying ML models in real-world production environments. It ensures that you not only gain knowledge but also gain hands-on experience as you progress.

Whether you are a ML specialist or just starting out in the world of ML, this guide will teach you the essential techniques and give you the insights needed to achieve the best MLOps practices. We hope our guidance will help you achieve greater success with your ML projects!