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

Start in the cloud

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

Guide

Dive into training

Explore these quickstarts, tutorials, and interactive walkthroughs on big data and analytics.

Deploy solution

Build a data warehouse

Set up a data warehouse using data loaded and transformed in BigQuery. Analyze results using dashboards in Looker Studio.

Deploy solution

Build an analytics lakehouse

Create an analytics lakehouse that can be used for analytic queries, machine learning, and visualization.

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.

Start tutorial

Use gen AI to generate text

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

Learn more

Build gen AI apps for search, speech, vision, and more

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

Learn more

Get started with BigQuery DataFrames

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

Learn more

Ready to get started?

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

Get solving with Dataflow templates

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

Visit GitHub

Use Dataproc templates and pipelines

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

Visit GitHub

Test your skills with open source SDKs

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

Visit Beam Playground

Formalize your learning

Prove your skills with these Data Engineering courses and certifications.

Warm up

Gain hands-on experience using Google Cloud technologies with a curated collection of on-demand courses, labs, and skill badges.

Get certified

Showcase your expertise as a professional Data Engineer with a Google Cloud certification.

Go the extra mile

Access hands-on training, practical tips, and free workshops at Beam College, and test your skills with these coding exercises.

Not sure where to start?

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

Build a data warehouse

Set up a data warehouse using data loaded and transformed in BigQuery. Analyze results using dashboards in Looker Studio.

Build an analytics lakehouse

Create an analytics lakehouse that can be used for analytic queries, machine learning, and visualization.

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.