Discover Google Cloud training your way

With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

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252 results
  1. Lab Featured

    Vertex AI: Qwik Start

    In this lab, you use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. S…

  2. Course Featured

    Machine Learning in the Enterprise

    This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three…

  3. Lab Featured

    Predict Visitor Purchases with a Classification Model in BigQuery ML

    In this lab, you use an available ecommerce dataset to create a classification (logistic regression) model in BigQuery ML that predicts customers' purchasing habits.

  4. Course Featured

    Achieving Advanced Insights with BigQuery

    The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded stor…

  5. Lab Featured

    Troubleshooting Common SQL Errors with BigQuery

    In this lab, you use the BigQuery query editor and query validator to troubleshoot common SQL syntax and logic errors.

  6. Lab Featured

    Migrate Existing Prometheus Monitoring Workloads to Google Cloud

    Learn how to use Managed Service for Prometheus in a self-deployed data collection mode. You can also utilize managed data collection as well.

  7. Course Featured

    Cloud Logging

    Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Goo…

  8. Course Featured

    Getting Started with Apache Kafka and Confluent Platform on Google Cloud

    Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event…

  9. Lab Featured

    Cloud Composer: Copying BigQuery Tables Across Different Locations

    In this lab, you create and run an Apache Airflow workflow in Cloud Composer to export tables from a BigQuery dataset located in Cloud Storage buckets in the US to buckets in Europe, and then import those tables to a BigQuery dataset in Europe.

  10. Lab Featured

    Build a BI Dashboard Using Looker Studio and BigQuery

    In this lab, you will learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end.