With the Covid-19 restrictions removed, Propulsion has returned to in-person teaching. Students now have the option to attend in-person or remotely.

FS Data Science

Building end-to-end data solutions becomes increasingly important in the arsenal of the modern enterprise data scientist. This program will take you beyond isolated model development on a single laptop and teach you modern ways to package and deploy your machine learning models to production environments. Through hands-on exercises you will learn how to design and create effective data processing pipelines to fuel your models. You will thus dive into the fledgling field of Machine Learning Operations (MLOps) and take your Data Science careers to the next level.

FS Data Science

Building end-to-end data solutions becomes increasingly important in the arsenal of the modern enterprise data scientist. This program will take you beyond isolated model development on a single laptop and teach you modern ways to package and deploy your machine learning models to production environments. Through hands-on exercises you will learn how to design and create effective data processing pipelines to fuel your models. You will thus dive into the fledgling field of Machine Learning Operations (MLOps) and take your Data Science careers to the next level.

What you'll learn

Through hands-on exercises you will learn how to design and create effective data processing pipelines to fuel your models. We start with the foundations of MLOps - exposing your models via RESTful APIs and automating development with Continuous Integration and Deployment. We then add another production-level requirement - technology independence - by introducing Docker and Docker Compose as foundational tools to virtualize our models. The course ends with advanced deployment scenarios that also account for scalability and failover. To this end you will learn how to use Kubernetes.

Schedule:
  • The course runs for 6 weeks on Tuesdays and Thursdays from 16:00 to 19:00.
  • Every week will contain lectures and exercises modules designed to give you as much hands-on experience as possible.

Tools we teach

Python

Gitlab & CI/CD

Docker

Docker Compose

Flask

Kubernetes

Tuition

Upcoming Dates

Part-Time Online Programs

Full-Stack Data Science

Schedule Apply by Start End
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Application Process & Prerequisites

Simply apply to the program here. The only prerequisite is that you are active in the Data Science field.

FAQs

Your Instructors

Team Member

Dr. Pavlin Mavrodiev

CTO

Once a software and electrical engineer, Pavlin has been fully immersed into the field of big data ...

Team Member

Dr. Nicolas Perony

Advisor & Instructor

I like to build cool things with data and machine learning, currently on a quest to capture and mode ...

Team Member

Patrick Senti

Freelance Analytics Consultant

Patrick has been building analytics solutions since 1995, applying machine learning, data engineer ...

About Us

Our motto is { CodeHard: PlayHard }

We aspire to boost Switzerland’s startup scene and tech industry by educating the next generation of Data Scientists, Full-Stack Developers, and Big Data Engineers.

We believe that the latest technologies should be accessible to everyone. We create learning environments that are inspiring and overcome doubts of the impossible. Everyone has the ability to learn tech skills, which is why we want to guide motivated and talented people towards the future of their dreams.

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