Then join us for a Kedro workshop on Thursday 14 May, 18.00 – 19.30 Swedish time!
Kedro is an open source Python library maintained by QuantumBlack and frequently used by McKinsey Analytics consultants. It implements software engineering best-practice for data pipelines with an eye towards productionising machine learning models. Kedro provides a standard approach so that you can:
Worry less about how to write production-ready code,
Spend more time building data pipelines that are robust, scalable, deployable, reproducible and versioned,
Standardise the way that your team collaborates across your project.
In this workshop, you will learn:
What is production-ready data science code
What is Kedro and how to use it
Building a data pipeline using Kedro (hands-on session)
The workshop involves a live coding session where you will be building a Kedro data pipeline, and is suitable for anyone who knows basic Python programming and is interested in building production-ready data pipeline.
Then apply with your CV before 12pm CEST on Friday 8 May
Join the KTH AI Society and gain access to Slack where you can communicate with others interested in the same field as you and get a quick insight on the organization!