Google Cloud Next 2021 Hands-On Labs

In this lab you will gain hands-on experience using Document AI by parsing forms from within a Jupyter Notebook so that you can automatically extract information from digitally scanned paper forms.

Learn how to to create and use document processors using the Document AI API.

Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational...

Build a conversational agent

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...

In this lab you'll use Migrate to Containers to migrate a Compute Engine VM instance to a corresonding container image hosted in a Kubernetes pod.

Use Migrate for Compute Engine to migrate an EC2 instance from AWS to Compute Engine on Google Cloud and verify the migration

In this lab you will configure Cloud Monitoring to observe bucket object access and deploy a Cloud Function to migrate objects from a Regional bucket to a Nearline bucket.

In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.

In this hands-on lab, you'll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.

GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

Learn how to use Google AppSheet to enable everyone in your organization to build and extend applications without coding.

Connected Sheets, you can analyze billions of rows and petabytes of data in Google Sheets without specialized knowledge of computer languages like SQL. In this hands-on-lab, you will learn how to connect a BigQuery dataset to Google Sheets and analyze...

In this lab you'll learn how to build a Google Workspace Add-on using Node.js and Cloud Run.

In this lab you will create a survey bot on Google Chat using Node.js

In this lab, you will deploy a sample application and enforce the access restriction capabilities using Identity-Aware Proxy.

In this lab, you will add a reCAPTCHA checkbox to a website

Configure an Application Load Balancer with global backends, stress test the Load Balancer, and denylist the stress test IP with Cloud Armor.

In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.

In this lab, you learn about the fundamental LookML structures, create a view, and join the new view to an existing Explore.

In this lab you will learn how to create a Data Fusion instance and deploy a sample pipeline

This quickstart shows you how to use Dataflow to read messages published to a Pub/Sub topic, window (or group) the messages by timestamp, and Write the messages to Cloud Storage.

In this lab, you use Cloud Shell command line to create the Cloud Composer environment and set Composer environment variables. You then use Composer to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount...

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.

Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.

In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.

This lab shows how to perform basic operations in Cloud Spanner using the Google Cloud Platform Console. Watch the short video Get a Highly Consistent, Scalable Database Service with Cloud Spanner.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short videos...

In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.

In this lab, you use an Apigee X threat protection policy and Cloud Armor to protect your APIs.

This lab introduces you to the fundamentals of API Management with Google's Apigee API Management Platform. You will go through the API Lifecycle at a high level - from API design, API Security, API Consumption to API Analytics & Monitoring.

In this lab you will create ML Pipelines using Vertex AI.

In this lab, you'll build a simple project tracking and approval application.

In this lab, you use AppSheet to connect and configure data for your app.

In this lab, you will learn how Web Security Scanner helps identify vulnerabilities and surfaces those vulnerabilities as findings in Security Command Center to provide near realtime visibility into your organization's security posture.

Deploy a monolithic application to a Google Kubernetes Engine cluster, then break it down into microservices.

In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job,...

In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering for connectivity. After you create and run the migration job, you...

Configure an HTTP Load Balancer with global backends, stress test the Load Balancer, and add a Cloud Armor rate limiting policy to restrict based on IP.