The live webinar has already taken place.
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and get materials to do practical exercises.
But you can still watch the recording
and get materials to do practical exercises.
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About the MLOps Webinar
Why do we need a pipeline for Machine Learning models? Introduction to Machine Learning Operations (MLOps)
Kedro, an open-source Python framework for creating reproducible, maintainable and modular data science code
Running Machine Learning pipelines on cloud using Vertex AI on the Google Cloud Platform
In this workshop, Michał demonstrated the way to operationalize Machine Learning models using open-source tools, like Kedro and deploy them using cloud computing.
Two practical exercises with materials
The recording also includes the Q&A session that took place during the live webinar
About the Speaker
Michał Bryś
Machine Learning Engineer at GetInData. Since 2009 Michał has been helping companies to use their data to solve real business problems with Machine Learning. His toolbox contains TensorFlow, Python, Hadoop, Spark and all data processing tools on the Google Cloud Platform. He has no fear of petabyte scale data sets and low-latency systems. Previously, he was a part of the research teams at OpenX, Allegro and Onet.pl. A Google Cloud Certified Professional Machine Learning Engineer.
Check out our previous materials
MLOps implemented - How we combine the cloud and open-source to boost data scientists work
In this webinar, we shared our experiences of the MLOps platform we built for our customers and how they boost the way data scientists work. We show how their ML models training projects can go from zero to production in a much shorter time, while achieving superior performance, high code quality, training repeatability and governance.
The webinar was organized by GetinData on 2021, November 15th.
Speakers:
Krzysztof Zarzycki - CTO, Co-founder
Marek Wiewiórka - Chief Data Architect
How to run Kedro pipelines on Azure ML Pipelines service? - MLOPS TUTORIAL
Marcin Zabłocki, MLOps Architect at GetInData presents a new Kedro Azure ML plugin that enables running Kedro pipelines on the Azure ML Pipelines service. He discusses and demonstrates:
- what's Kedro, and what are the benefits of this solution?
- how to track the metrics using MLflow
- how to install this plugin
Speaker: Marcin Zabłocki
We help data-oriented organizations to succeed using open-source and cloud technologies such as Flink, Kafka, Spark, Hadoop, Google Cloud Platfrom by providing outsourcing, consulting and training services.
We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.
We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.
We help data-oriented organizations to succeed using open-source and cloud technologies such as Flink, Kafka, Spark, Hadoop, Google Cloud Platfrom by providing outsourcing, consulting and training services.
We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.
© GetInData Poland Sp. z o.o.
