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GCP Essentials

In this introductory-level quest, you will get hands-on practice with the Google Cloud Platform’s fundamental tools and services. GCP Essentials is Qwiklabs’ most popular quest and for good reason—you will come in with little, or no prior cloud knowledge and come out with practical experience that you can apply to any GCP project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine with load balancing, GCP Essentials is a prime introduction to the platform’s features.

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quest

Baseline: Infrastructure

If you are a novice cloud developer looking for hands-on practice with GCP’s core infrastructure services, do yourself a favor and enroll in this quest. As a student, you will get practical experience by taking labs that dive into Cloud Storage, computing engines like Kubernetes, and key application services like Stackdriver and Deployment Manager. By taking this quest, you will develop invaluable skills that apply to any GCP project.

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Baseline: Data, ML, AI

Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, GCP provides user-friendly services in these areas and Qwiklabs has you covered with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and Cloud ML Engine. Want extra help? 1-minute videos walk you through key concepts for each lab.

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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 see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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Cloud Architecture

This advanced-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give developers hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your GCP architecture knowledge to the test. Be aware that while practice with these labs will increase your knowledge and abilities, you will need other preparation too. The exam is quite challenging and external studying, experience, and/or background in cloud architecture is recommended.

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Data Engineering

This advanced-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give developers hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataproc, to Tensorflow, this quest is composed of specific labs that will put your GCP data engineering knowledge to the test. Be aware that while practice with these labs will increase your knowledge and abilities, you will need other preparation too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended.

hands-on lab

Using VPC Network Peering

In this lab, you configure VPC Network Peering between two networks. Then, you verify private communication between two VMs in those networks.

hands-on lab

Deployment Manager - Automating Network Deployment

In this lab, you create a Deployment Manager configuration along with templates to automate the deployment of a custom network.

hands-on lab

Using a NAT Gateway with Kubernetes Engine

This lab shows how to define new node IP address mappings by using network address translation (NAT) gateways.

hands-on lab

Exploratory Data Analysis using Google Cloud Datalab

Learn the process of analyzing a data set stored in BigQuery using Cloud Datalab to perform queries and present the data using various statistical plotting techniques.

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.

hands-on lab

HTTPS Content-Based Load Balancer with Terraform

This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.

hands-on lab

VPC Networks - Controlling Access

In this lab, you create two nginx web servers and control external HTTP access to the web servers using tagged firewall rules. Then, you explore IAM policies and service accounts.

hands-on lab

App Dev: Storing Image and Video Files in Cloud Storage - Python

In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.

hands-on lab

Deploy Kubernetes Load Balancer Service with Terraform

In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.

hands-on lab

HTTP Load Balancer with Cloud Armor

In this lab, you configure an HTTP Load Balancer with global backends. Then, you stress test the Load Balancer and blacklist the stress test IP with Cloud Armor.

hands-on lab

Modular Load Balancing with Terraform - Regional Load Balancer

This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.

hands-on lab

Terraform Fundamentals

In this hands-on-lab you will create infrastructure, a virtual machine, using Terraform in the cloud environment.

hands-on lab

Dynamic VPN Gateways - Cloud Routers

In this lab you connect two networks using Cloud Routers. Cloud Routers build on top of VPN by enabling BGP Routing that dynamically discovers changes in network topology and passes updates to peers.

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

App Dev: Developing a Backend Service - Python

In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores.

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

App Dev: Adding User Authentication to your Application - Python

In this lab, you will enhance the online Quiz application to use Firebase authentication.

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

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

Multiple VPC Networks

In this lab, you create several VPC networks and VM instances and test connectivity across networks.

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

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

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

Evaluating a Data Model

Learn the process for partitioning a data set into a training set that will be used to develop a model, and a test set that can then be used to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.

hands-on lab

Using Vault on Compute Engine for Secret Management

In this hands-on lab you will learn how to deploy Vault, an open source tool for secret management, to GCP (Google Cloud Platform) Compute Engine using Terraform.

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

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

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

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

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

Container-Optimized OS: Qwik Start

This hands-on lab shows you how to create Compute Engine instances running Container-Optimized OS.

hands-on lab

Introduction to Kubeflow on Google Kubernetes Engine

This lab will serve as an introduction to Kubeflow, an open-source project which aims to make running ML workloads on Kubernetes simple, portable and scalable.

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

App Dev: Setting up a Development Environment - Java

In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software 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

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

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

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 videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

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hands-on lab

App Dev: Setting up a Development Environment - Python

In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.

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

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.

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