Sharpen your skills as Data Engineer

Looking to learn new skills, explore the latest trends, or prepare for your next career opportunity as a Data Engineer?
Our essential guide has you covered, with $300 in free Google Cloud credits to get you started.

Get started on Google Cloud
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Start in the cloud

Kickstart your cloud journey with practical how-to guides, quickstarts, and tutorials.

Put generative AI to work

Expand your skill set and build whatever you want — with a little help from gen AI.

Create a machine learning model

Learn how to use BigQuery ML to create and execute machine learning models in BigQuery by using SQL queries.

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Learn how to generate text by creating a remote model based on the text-bison large language model.

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Dive into GitHub code and resources for gen AI workflows on Google Cloud.

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Use familiar Pythonic APIs (pandas, scikit-learn) for data transformation and ML at BigQuery scale.

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Tap into open source

Explore open source playgrounds, projects, and repositories for Beam, Hadoop, Spark, and more.

Get started with open source on Google Cloud

Explore, access, and add Google Cloud Platform repositories on GitHub.

Visit GitHub

Save time on in-cloud data tasks with these Dataflow templates from Google on GitHub.

Visit GitHub

Solve simple in-cloud data tasks with these Dataproc templates and pipelines from Google on GitHub.

Visit GitHub

Use Beam Playground to try out Beam transforms and examples without needing to install Apache Beam in your environment.

Visit Beam Playground
Open source on Google cloud module

Formalize your learning

Prove your skills with these Data Engineering courses and certifications.

Not sure where to start?

A great place for Data Engineers to start is by building in the cloud.

Enjoy $300 in free credits

Don't forget to take advantage of $300 in free credits and 20+ always-free products when running workloads on Google Cloud.