PyCon CZ

PyCon CZ 23
15–17 September

Putting models in production with Serverless Machine Learning a workshop with Jim Dowling

Sunday 17 September 10:00 (3 hours)
Room 350

MLOps and machine learning (ML) Pipelines are quickly becoming the de facto way to build production ML systems with a Feature Store.

In this workshop, you will develop an ML System that consists of 3 programs: a Feature pipeline, a Training pipeline, and an Inference pipeline. These 3 ML pipelines will be run on a (free) serverless compute platform ( and connected together via a (free) serverless Feature Store/Model-Registry ( The user interface for our ML system will also be hosted on a free serverless UI platform ( We will go beyond just developing the system, we will also show how to evolve and manage the ML system with best practices from MLOps. We will work only in Python for the whole ML system, without any YAML or infrastructure-as-code. Our example ML system will be drawn from the free serverless machine learning course and it will be a combination of both a batch ML system and an operational ML system.

During the workshop, you will learn about best practices for feature engineering, model training, and batch/online inference in Python, and learn about how (free) serverless services can get you up and running faster. We will avoid all infrastructure (containers, kubernetes, cloud infrastructure) and focus on the core MLOps principles (testing and versioning of ML assets).




Attendees should be able to write code in Python in an IDE or a Jupyter notebook.

Attendees will have to pip install the following Python libraries: 'hopsworks' and 'modal' and register free accounts on the and websites.

What do you need to know to enjoy this workshop

Python level

Medium knowledge: You use frameworks and third-party libraries.

About the topic

No previous knowledge of the topic is required, basic concepts will be explained.

Jim Dowling

I am the CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. I am lead architect of the open-source Hopsworks Feature Store platform. I am the organizer of the annual feature store summit conference and community, as well as co-organizer of PyData Stockholm.