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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

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

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

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

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

Container-Optimized OS: Qwik Start

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

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 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

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

Visualize Real Time Geospatial Data with Google Data Studio

Use Google Dataflow to process real-time streaming data from a real-time real world historical data set, storing the results in Google BigQuery and then using Google Data Studio to visualize real-time geospatial data.

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

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

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

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

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

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

Building a High-throughput VPN

In this lab you will learn how to create secure, high-throughput VPN and test the speed.

hands-on lab

App Dev: Deploying the Application into App Engine Flexible Environment - Python

In this lab, you will deploy the quiz application into App Engine flexible environment, leveraging App Engine features including instances, versions, and traffic splitting.

hands-on lab

Container Registry: Qwik Start

This hands-on lab demonstrates how to build a Docker image and push it to Google Container Registry.

hands-on lab

Internet of Things: Qwik Start

This lab shows you how to use Google Cloud Platform Console to create a Cloud IoT Core device registry and register a device. It also shows you how to run a sample to connect a device and publish device telemetry events.

hands-on lab

Classify Text into Categories with the Natural Language API

In this lab you’ll learn how to classify text into categories using the Natural Language API

hands-on lab

Compute Engine: Qwik Start - Windows

Google Compute Engine lets you create and run virtual machines on Google infrastructure. In this lab you will learn how to create a Windows Server instance in the Google Compute Engine and access it with RDP.

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hands-on lab

Loading Data into Google Cloud SQL

In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.

hands-on lab

Continuous Delivery with Jenkins in Kubernetes Engine

In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

hands-on lab

Provisioning and Using a Managed Hadoop/Spark Cluster with Cloud Dataproc (Command Line)

In this lab you will learn how to start a managed Spark/Hadoop cluster using Google Cloud Dataproc, submit a sample Spark job, and shut down your cluster using the command line.

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 Google Cloud Storage: Massive Scalability Plus More.

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 Powerful Speech Recognition Using Google Machine Learning.

hands-on lab

Getting Started with Cloud Shell & gcloud

In this hands-on lab, you will learn how to connect to computing resources hosted on Google Cloud Platform via the web. You will also learn how to use Cloud Shell and the Cloud SDK gcloud command.

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hands-on lab

Distributed Load Testing Using Kubernetes

Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes controllers/services.

hands-on lab

Creating Custom Interactive Dashboards with Bokeh and BigQuery

In this lab you will learn how to build a custom interactive dashboard application on Google Cloud Platform (GCP) by using the Bokeh library to visualize data from publicly available Google BigQuery datasets.

hands-on lab

App Engine: Qwik Start - Python

This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

hands-on lab

Deploy ASP.NET Core App to Kubernetes Engine

In this lab, you learn how to turn your ASP.NET Core code into a Docker container image, and then run that image as a replicated application running on Kubernetes on Google Container Engine (GKE).

hands-on lab

Creating a Virtual Machine

In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types.

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hands-on lab

Mapping the NYC Subway

In this lab, you’ll build a store locator web application for the NYC (New York City) Subway Station data set.

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

Configuring Deployment Manager Templates

This lab creates a basic Deployment Manager (DM) configuration for deploying resources in Google Cloud Platform.

hands-on lab

Hello Istio with Kubernetes Engine

Learn how to install and configure Istio, an open source framework for connecting, securing, and managing microservices, on Google Kubernetes Engine. You will also deploy an Istio-enabled multi-service applicaiton.

hands-on lab

Deploying a Python Flask Web Application to App Engine Flexible

In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.

hands-on lab

Creating Cross-region Load Balancing

This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.

hands-on lab

Set Up Network and HTTP Load Balancers

In this hands-on lab, you'll learn how setup both network load balancers and HTTP load balancers for your application running in Google Compute Engine virtual machines.

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hands-on lab

Analyzing Natality Data Using Datalab and BigQuery

In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.

hands-on lab

Build a Slack Bot with Node.js on Kubernetes

In this lab you'll learn how to build and run a Slack Bot with Google Cloud Platform uses Kubernetes Engine, a hosted version of Kubernetes. Watch the short video Build a Slack Bot with Node.js on Kubernetes

hands-on lab

Distributed Image Processing in Cloud Dataproc

In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

hands-on lab

Cloud SQL for PostgreSQL: Qwik Start

Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.

hands-on lab

App Dev - Deploying the Application into App Engine Flexible Environment - Java

In this lab, you will deploy the quiz application into App Engine flexible environment, leveraging App Engine features including instances, versions, and traffic splitting.

hands-on lab

App Dev-Adding User Authentication to your Application-Java

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

hands-on lab

Processing Data with Google Cloud Dataflow

In this lab you will simulate a real-time real world data set from a historical data set. This simulated data set will be processed from a set of text files using Python and Google Cloud DataFlow, and the resulting simulated real-time data will be stored in Google BigQuery.

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