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!

  • Solution
  • Role
  • Badge
  • Format
  • Language
  • Level
  • Duration

121 results

  1. Lab Featured

    Running a Containerized App on Google Kubernetes Engine

    Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.

  2. Course Featured

    Optimize Your Google Cloud Costs

    This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google C…

  3. Lab Featured

    Cloud Logging on Kubernetes Engine

    In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.

  4. Course Featured

    Security & Identity Fundamentals

    Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to f…

  5. Lab Featured

    Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

    In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

  6. Lab Featured

    Running a MongoDB Database in Kubernetes with StatefulSets

    Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

  7. Lab Featured

    Using Cloud Trace on Kubernetes Engine

    This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud…

  8. Course Featured

    Cloud SQL

    Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production framewo…

  9. 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…

  10. 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…

  11. Lab Featured

    Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

    This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.

  12. Course Featured

    Exploring APIs

    Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their met…

  13. Course Featured

    Cloud Engineering

    This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this q…

  14. Course Featured

    Baseline: Deploy & Develop

    In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will se…

  15. Course Featured

    Creating Infrastructure on Google Cloud with Terraform

    In this quest you will get hands-on experience writing infrastructure as code with Terraform.

  16. Course Featured

    Website on Google Cloud

    In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of th…

  17. Course Featured

    Google Cloud Solutions II: Data and Machine Learning

    In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architectur…

  18. Course Featured

    Advanced ML: ML Infrastructure

    Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at …

  19. Course Featured

    Google Developer Essentials

    This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop wi…

  20. Lab Featured

    Manage and Secure Distributed Services with GKE Managed Service Mesh

    Learn how to run distributed services on multiple Google Kubernetes Engine (GKE) clusters in Google Cloud using Multi Cluster Ingress and GKE Service Mesh

  21. Course Featured

    Getting Started with MongoDB Atlas on Google Cloud

    MongoDB Atlas provided customers a fully managed, database-as-a-service on Google’s data cloud that is unmatched in speed, scale, and security—all with AI built in. Modern database systems, including MongoDB, have been a big step forward—giving businesses a more flexible, scalable, and developer-friendly alternati…