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Data Scientist, DevOps
e.g.: MLOps, Kubeflow, Kubeflow Pipelines, Kedro, Google Cloud Platform
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Machine Learning Operations (MLOps)

One day workshop you will learn how to operationalize Machine Learning models using popular open-source tools, like Kedro and Kubeflow, and deploy it using cloud computing.


Some experience coding in Python, basic understanding of cloud computing and machine learning concepts.

Training outcome

During the course we simulate real-world end-to-end scenarios – building a Machine Learning pipeline to train a model, and deploy it on Kubeflow environment. We’ll walk through the practical use cases of MLOps for creating reproducible, scalable and modular data science code. Next, we’ll propose a solution for running pipelines on Google Cloud Platform, leveraging managed and serverless services. All exercises will be done using either a local docker environment, or GCP account.

Participant’s ROI

  • Practical knowledge of building Machine Learning pipelines using Kedro
  • Hands-on experience with building Machine Learning platform with Kubeflow Pipelines
  • Tips about real world applications and best practices.

Course agenda*

Part 1

Introduction to Machine Learning Operations (MLOps)

  • Introduction and key concepts

  • MLOps components

  • The challenges of deploying and maintaining Machine Learning models on production

  • The Machine Learning model lifecycle

Part 2

Kedro - a framework to structure your ML pipeline

  • Create reproducible, maintainable and modular data science code

  • Build your Machine Learning pipeline

  • Hands-on exercises

Part 3

Kubeflow and Kubeflow Pipelines

  • Introduction and key concepts

  • Example of Kubeflow Pipelines (managed) and Vertex AI (serverless) deployments

  • Hands-on exercises

Part 4

Building infrastructure for your Machine Learning platform

  • Overview of MLOps Frameworks landscape, and reference architectures

Part 5

Summary and wrap-up

    * GetInData reserves the right to make any changes and adjustments to the presented agenda.


    Our workshops and training programmes are organised by experienced instructors with many years real-life Big Data experience. Get to know our team!

    More information

    All participants will get training materials in the form of PDF files containing slides with theory and exercise manual with the detailed description of all exercises. During the workshops the exercises can be done using either a local docker environment or within your IDE.

    Contact person

    Klaudia Wachnio
    +48 663 422 641
    Piotr Krewski
    +48 888 185 137


    Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

    Wojciech Ptak

    GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

    Miłosz Balus

    GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

    Stephan Ewen

    Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

    Wilson Yu Cao
    Development Team Manager

    We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

    Mariusz Popko
    Platform Manager

    The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

    Kostas Tzoumas

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