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quest

GCP Essentials

In this Quest, the most popular Quest of all time, get your first hands-on experience with Google Cloud. Get comfortable with the basics, like spinning up a VM and configuring key infrastructure tools, then challenge yourself to the next level.

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quest

Baseline: Infrastructure

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In this eleven-lab sequence, you will get your first-touch experiences with the Google Cloud services that provide basic infrastructure building blocks that make up core components of any production cloud environments.

quest

Baseline: Data, ML, AI

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In these short hands-on labs, you will get your first-touch experiences with a subset of the Google Cloud services that provide tools for working with big (and small!) data and machine learning / artificial intelligence services in Google Cloud.

quest

Baseline: Deploy & Develop

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In these short hands-on labs, you will get your first-touch experiences with a subset of the Google Cloud services that provide tools for creating and deploying applications: App Engine, the SDK, Source Tools, data stores for your application data, and useful tools for security and privacy, all provided by Google Cloud.

quest

Cloud Architecture

This Quest is intended to provide hands-on practice for those preparing for the <A HREF="https://cloud.google.com/certification/cloud-architect">Google Cloud Certified Professional Cloud Architect Certification</A>. Students will get hands-on exposure to a wide range of Google Cloud Services and techniques which are closely mapped to the topic areas in the certification test. Be aware that while practice with these labs will increase your knowledge and abilities in these topic areas, you will need other preparation to succeed in the question and answer test itself (such as work experience).

quest

Data Engineering

This Quest is intended to provide hands-on practice for those preparing for the <A HREF="https://cloud.google.com/certification/data-engineer">Google Cloud Certified Professional Data Engineer Certification</A>. Students will get hands-on exposure to a wide range of Google Cloud Services and techniques which are closely mapped to the topic areas in the certification test. Be aware that while practice with these labs will increase your knowledge and abilities in these topic areas, you will need other preparation to succeed in the question and answer test itself (such as work experience).

hands-on lab

Improving Network Performance I

In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.

hands-on lab

Network Performance Testing

In this lab, you'll learn important connectivity, performance, testing, and troubleshooting techniques in the Google Cloud Networking insfrastructure environment.

hands-on lab

Improving Network Performance II

In this lab, you'll work on further practical elements of performance testing, toward improving network server performance by using load balancing and content caching.

hands-on lab

Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.

hands-on lab

Building High Availability and High Bandwidth NAT Gateways

This lab shows you how to set up multiple NAT gateways with Equal Cost Multi-Path (ECMP) routing and autohealing enabled for a resilient and high-bandwidth deployment.

hands-on lab

Create a Custom Network Using Deployment Manager

This lab creates a complex Deployment Manager (DM) configuration for deploying a custom network resource in Google Cloud Platform. It also explains the basic fundamental block of developing a Deployment Manager.

hands-on lab

VPC Network Peering

Google Cloud Platform (GCP) Virtual Private Cloud (VPC) Network Peering allows private connectivity across two VPC networks regardless of whether or not they belong to the same project or the same organization.

hands-on lab

Setting up Jenkins on Kubernetes Engine

This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

hands-on lab

Using Ruby on Rails with Cloud SQL for PostgreSQL

In this lab, you'll learn how to deploy a new Ruby on Rails application using Google Cloud SQL for PostgreSQL to Google App Engine Flexible environment.

hands-on lab

Rent-a-VM to Process Earthquake Data

In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.

hands-on lab

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

hands-on lab

Cloud Source Repositories: Qwik Start

In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.

hands-on lab

Creating a Persistent Disk

In this hands-on lab, you’ll learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You’ll also learn about zones, regions, and different disk types.

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hands-on lab

Cloud Security Scanner: Qwik Start

The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.

hands-on lab

Internal Load Balancer

Internal Load Balancer offers you the possibility to load balance TCP/UDP traffic without exposing your VMs via a public IP to the Internet. In this lab we will create a public facing web server to serve the result of a simple web application.

hands-on lab

BigQuery: Qwik Start - Command Line

This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short video <A HREF="https://youtu.be/m0rqccviLNM">Get Meaningful Insights with Google BigQuery</A>.

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hands-on lab

Entity and Sentiment Analysis with the Natural Language API

The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

hands-on lab

Deploy a Ruby on Rails App to App Engine Flexible Environment

In this lab, you will learn how to deploy a new Ruby on Rails application or Rails app for short to Google App Engine Flexible environment. You will learn Cloud Shell and the Cloud SDK to get started without needing any downloads or installs.

hands-on lab

Networking 101

In this lab you will learn how to perform basic networking tasks on Google Cloud Platform by setting up a network and 3 subnetworks; and how GCP might differ from an on-premises setup.

hands-on lab

Managing Deployments Using Kubernetes Engine

Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

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hands-on lab

Provision Services with Cloud Launcher

In this hands-on lab you'll learn how to use Cloud Launcher to quickly get started with common operating systems, web frameworks, and databases.

hands-on lab

Getting Started with Cloud KMS

In this lab you'll work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.

hands-on lab

Running a Node.js Container in Kubernetes with Container 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.

hands-on lab

Deployment Manager - Package and Deploy

In this lab you will develop an advanced Deployment Manager template using JINJA and YAML. You will learn how to install and run a Python application on an instance through Deployment Manager.

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hands-on lab

Deploy Node.js Express Application in App Engine

In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.

hands-on lab

Google Maps Web Services Proxy for Mobile Applications

In this lab, you'll build a Google App Engine proxy for the Google Places API web service.

hands-on lab

Using the Natural Language API with Ruby

In this lab, you will focus on using the Natural Language API with Ruby. You will learn how to perform sentiment, entity and syntax analysis using Ruby!

hands-on lab

Implementing an AI Chatbot with Dialogflow

The goal of this lab is to introduce the basics of Google Cloud Dialogflow by building a responsive chat bot, such as those handling support requests on websites. Demonstrates how to utilize this interactive AI in application development.

hands-on lab

Running Distributed TensorFlow on Compute Engine

This lab shows you how to use a distributed configuration of TensorFlow on multiple Compute Engine instances to train a convolutional neural network model using the MNIST dataset.

hands-on lab

Orchestrating the Cloud with Kubernetes

In this lab you will learn how to: Provision a complete Kubernetes cluster using Google Container Engine; Deploy and manage Docker containers using kubectl; and Break an application into microservices using Kubernetes’ Deployments and Services.

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hands-on lab

Networking 102

Properly secured networks control connections and access into, out of, and among your resources. In this lab, you will practice deploying Networks and Subnetworks in two different GCP projects and multiple instances within the Google Cloud.

hands-on lab

Deploy Refinery CMS to App Engine Flexible Environment

In this lab, you'll learn how to deploy a new Ruby on Rails application using Google Cloud SQL for PostgreSQL to Google App Engine Flexible environment.

hands-on lab

Using Google Stackdriver Debug, Traces, Logging and Logpoints

In this lab, you'll tour some of the unique Stackdriver features enabling you to monitor and troubleshoot your applications with production debugging, API call tracing, and dynamically-added logpoints.

hands-on lab

Setting up a Minecraft Server on Google Compute Engine

In this lab, you'll learn how to install, configure, and run a standard Minecraft server on Google Compute Engine. You will also learn basic customization of the server and scheduling backups.

hands-on lab

Hello Node Kubernetes

In this hands-on lab, you'll learn how to turn your code into a replicated application running on Kubernetes. You'll create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up.

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hands-on lab

HTTP Load Balancer

In this lab you will learn how to set up an HTTP global load balancer and how load balancing can help scale your applications on Google Compute Engine.

hands-on lab

Cloud Storage: Qwik Start - CLI/SDK

This hands-on lab shows you how to perform basic tasks in Cloud Storage using the gsutil command-line tool. Watch the short video <A HREF="https://youtu.be/081hh6EzlTk">Google Cloud Storage: Massive Scalability Plus More</A>.

hands-on lab

Google Cloud Speech API: Qwik Start

The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch the short video <A HREF="https://youtu.be/k9xLdXNriEo"> Powerful Speech Recognition Using Google Machine Learning</A>.

hands-on lab

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.

hands-on lab

Speaking with a Webpage - Streaming Speech Transcripts

In this lab you'll take audio from the client's microphone and stream it to a Java servlet. The Java servlet passes the data to the Cloud Speech API, which then streams transcriptions back to the servlet.

hands-on lab

Running Windows Containers on Compute Engine

In this lab you will learn how to create a Windows VM for containers on Compute Engine, then create an image with a HelloWorld PowerShell script and run that image as a Windows container.

hands-on lab

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.

hands-on lab

Dataproc: Qwik Start - Command Line

This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line.

hands-on lab

Awwvision: Cloud Vision API from a Kubernetes Cluster

This hands-on-lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

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