According to QWIKLABS: 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 with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.

Lab Name Lab Code Lab Link Youtube Link
Weather Data in BigQuery GSP009
Classify Images of Clouds in the Cloud with AutoML Vision GSP223
Google Assistant: Build a Restaurant Locator with the Places API GSP486
App Engine: Qwik Start - Java GSP902
Autoscaling an Instance Group with Custom Cloud Monitoring Metrics GSP087

According to QWIKLABS: In 
this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialog flow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub

Lab Name Lab Code Lab Link Youtube Link
Google Assistant: Quick Start - Dialog Flow GSP263
Introduction to APIs in Google GSP294
Google Assistant: Build an Application with Dialog Flow and Cloud Functions GSP174
Google Assistant: Build a Youtube Entertainment App GSP487
Google Assistant: Build a Restaurant Locator with the Places API GSP486

According to QWIKLABS: 
one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API.

Lab Name Lab Code Lab Link Youtube Link
Introduction to APIs in Google GSP294
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs GSP075
Classify Text into Categories with the Natural Language API GSP063
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API GSP037
Entity and Sentiment Analysis with the Natural Language API GSP038
Awwvision: Cloud Vision API from a Kubernetes Cluster GSP066

According to QWIKLABS: 
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in GCP from beginning to end. Labs in the sequence with application code are presented in two language flavors, Java and Python. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources

Lab Name Lab Code Lab Link Youtube Link
App Dev: Setting up a Development Environment - Python GSP183
App Dev: Storing Application Data in Cloud Datastore - Python GSP184
App Dev: Storing Image and Video Files in Cloud Storage - Python GSP185
App Dev: Adding User Authentication to your Application - Python GSP186 #
App Dev: Developing a Backend Service - Python GSP187 #
App Dev: Deploying the Application into Kubernetes Engine - Python GSP188 #

According to QWIKLABS: 
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 Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.

Lab Name Lab Code Lab Link Youtube Link
Fundamentals of Cloud Logging GSP610
Using BigQuery and Cloud Logging to Analyze BigQuery Usage GSP617
Cloud Logging on Kubernetes Engine GSP483
Monitoring and Logging for Cloud Functions GSP092 #
Creating and Alerting on Logs-based Metrics GSP091

According to QWIKLABS: 
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 this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.

Lab Name Lab Code Lab Link Youtube Link
Deploy Your Website on Cloud Run GSP659
Hosting a Web App on Google Cloud Using Compute Engine GSP662
Deploy, Scale, and Update Your Website on Google Kubernetes Engine GSP663
Migrating a Monolithic Website to Microservices on Google Kubernetes Engine GSP699

According to QWIKLABS: 
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.

Lab Name Lab Code Lab Link Youtube Link
Google Cloud SDK: Qwik Start - Redhat/Centos GSP122
App Engine: Qwik Start - Python GSP067 #
Cloud Source Repositories: Qwik Start GSP121 #
Container-Optimized OS: Qwik Start GSP144
Datastore: Qwik Start GSP131 #
Cloud SQL for MySQL: Qwik Start GSP151 #
Data Loss Prevention: Qwik Start - Command Line GSP106 #
Cloud Functions: Qwik Start - Command Line GSP080 #
Video Intelligence: Qwik Start GSP154 #
Cloud Security Scanner: Qwik Start GSP112 #
Google Assistant: Qwik Start - Dialogflow GSP263
Cloud Endpoints: Qwik Start GSP164 #

According to QWIKLABS: 
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 methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.

Lab Name Lab Code Lab Link Youtube Link
Introduction to APIs in Google GSP294
APIs Explorer: Qwik Start GSP277 #
APIs Explorer: Cloud Storage GSP421 #
APIs Explorer: Create and Update a Cluster GSP288 #
APIs Explorer: Compute Engine GSP293
APIs Explorer: App Engine GSP422
APIs Explorer: Cloud SQL GSP423 #
APIs Explorer: PubSub and IoT GSP284 #

According to QWIKLABSIn this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.

Lab Name Lab Code Lab Link Youtube Link
Internet of Things: Qwik Start GSP086 #
Streaming IoT Data to Cloud Storage GSP278 #
Streaming IoT Core Data to Dataprep GSP279 #
Building an IoT Analytics Pipeline on Google Cloud GSP088 #
A Tour of Cloud IoT Core GSP224 #
APIs Explorer: PubSub and IoT GSP284 #
Using Cloud Logging with IoT Core Devices GSP258 #
Using Firestore with Cloud IoT Core for Device Configuration GSP265 #

According to QWIKLABSThis Quest of hands-on labs demonstrates the power of integrating Google Cloud services and tools with Workspace (formerly G Suite) applications. With integration technologies like the Clasp Command Line environment, you will create and publish web apps and add-ons for Workspace products: Sheets, Docs, Forms, and Slides. In other labs you'll create direct connections to Google Cloud data sources using the BigQuery API, Sheets, and Slides to collect, analyze and present data.

Lab Name Lab Code Lab Link Youtube Link
Introduction to APIs in Google GSP294
Creating a Gmail Add-on GSP249 #
Google Apps Script: Access Google Sheets, Maps & Gmail in 4 Lines of Code GSP235 #
The Apps Script CLI - clasp GSP239 #
Hangouts Chat bot - Apps Script GSP250 #
Big Data Analysis to a Slide Presentation GSP240 #
Using the Natural Language API from Google Docs GSP126 #
Build a Google Workspace Add-on with Node.js and Cloud Run GSP953 #