Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned Mar 20, 2022 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Nov 21, 2021 EST
Alexa Skills Development
Earned Oct 24, 2021 EDT
Understand Your Google Cloud Costs
Earned Mar 10, 2021 EST
Deploy to Kubernetes in Google Cloud
Earned Nov 22, 2020 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned Sep 13, 2020 EDT
Website on Google Cloud
Earned Aug 23, 2020 EDT
Programming Windows on AWS
Earned Aug 16, 2020 EDT
Build a Website on Google Cloud
Earned Aug 9, 2020 EDT
Serverless Web Apps using Amazon DynamoDB
Earned Jun 28, 2020 EDT
Solutions Architect - Professional
Earned Jun 23, 2020 EDT
Digital Media
Earned Jun 23, 2020 EDT
Storage & CDN
Earned Jun 22, 2020 EDT
Applied Data: Blockchain
Earned Jun 20, 2020 EDT
Cryptocurrency Speedrun
Earned Jun 20, 2020 EDT
Create and Manage Cloud Resources
Earned Jun 19, 2020 EDT
Advanced ML: ML Infrastructure
Earned Jun 19, 2020 EDT
Advanced Operations Using Amazon Redshift
Earned Jun 19, 2020 EDT
SysOps Administrator - Associate
Earned Jun 18, 2020 EDT
Databases on AWS for Windows
Earned Jun 14, 2020 EDT
SysAdmin on AWS for Windows
Earned Jun 13, 2020 EDT
Corporate Apps on AWS for Windows
Earned Jun 13, 2020 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jun 11, 2020 EDT
Deployment & Management
Earned Jun 8, 2020 EDT
Websites & Web Apps
Earned Jun 7, 2020 EDT
Intro to ML: Image Processing
Earned Jun 5, 2020 EDT
Big Data on AWS
Earned Jun 5, 2020 EDT
Solutions Architect - Associate
Earned Jun 1, 2020 EDT
Security on AWS
Earned Jun 1, 2020 EDT
Google Developer Essentials
Earned May 31, 2020 EDT
Serverless Design with AWS Lambda
Earned May 28, 2020 EDT
Scientific Data Processing
Earned May 28, 2020 EDT
Baseline: Deploy & Develop
Earned May 25, 2020 EDT
Cloud Hero: Infrastructure Modernization
Earned May 19, 2020 EDT
Compute & Networking
Earned May 18, 2020 EDT
Exploring APIs
Earned May 9, 2020 EDT
DEPRECATED IoT in the Google Cloud
Earned Apr 30, 2020 EDT
DevOps Essentials
Earned Apr 26, 2020 EDT
Intro to ML: Language Processing
Earned Nov 10, 2019 EST
Data Transformation Game
Earned Apr 11, 2019 EDT
Machine Learning APIs
Earned Apr 11, 2019 EDT
BQML Game
Earned Apr 10, 2019 EDT
OK Google, go to YouTube! Next 19 game
Earned Apr 10, 2019 EDT
Data Science on Google Cloud
Earned Apr 5, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Mar 31, 2019 EDT
Baseline: Data, ML, AI
Earned Mar 19, 2019 EDT
Cloud Architecture
Earned Mar 17, 2019 EDT
Kubernetes in Google Cloud
Earned Mar 10, 2019 EDT
Google Cloud Essentials
Earned Sep 28, 2018 EDT
Baseline: Infrastructure
Earned Jul 26, 2018 EDT
Welcome Gamers! Create and test a prompt, create a conversation, and explore the prompt gallery, all while having fun! Explore Generative AI Studio in Vertex AI. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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Earn a skill badge by completing the Perform Foundational Data, ML, and AI Tasks quest, where you learn the basic features for the following machine learning and AI technologies: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Perform Foundational Infrastructure Tasks in Google Cloud quest, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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In this Quest, you will learn how to create Alexa skills that respond to voice commands and which can be used on the Amazon Echo, Dot, and Tap devices. You will create back-end functions in AWS Lambda, and then connect them with voice response logic using the Alexa Skills Kit. You will use both the AWS Console and the Amazon Developer Portal in these labs, the latter requiring you to have or create a no-cost, no-credit-card-required account. No hardware device is required for any lab; an Alexa voice response simulation system is provided in the Amazon Developer Portal.
Templates used in these labs can be adapted and extended to create your own Alexa skills and offer them to the worldwide Alexa user community.
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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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Earn a skill badge by completing the Deploy to Kubernetes in Google Cloud quest, where you will learn about Google Kubernetes Engine and multiple deployment approaches including how to: configure and build images to run and debug Docker containers, build Kubernetes Engine clusters, and manage them with kubectl, deploy Kubernetes applications using deployments and continuous delivery techniques. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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This quest offers hands-on practice with Cloud Data Fusion, a cloud-native, code-free, data integration platform. ETL Developers, Data Engineers and Analysts can greatly benefit from the pre-built transformations and connectors to build and deploy their pipelines without worrying about writing code. This Quest starts with a quickstart lab that familiarises learners with the Cloud Data Fusion UI. Learners then get to try running batch and realtime pipelines as well as using the built-in Wrangler plugin to perform some interesting transformations on data.
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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.
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Learn how to develop applications in Microsoft Visual Studio leveraging AWS services.
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Earn a skill badge by completing the Build a Website on Google Cloud skill badge quest. This quest is based on the series Get Cooking in Cloud, where you will learn how to: Deploy a website on Cloud Run, Host a web app on Compute Engine, Create, deploy, and scale your website on Google Kubernetes Engine, Migrate from a monolithic application to a microservices architecture. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with advanced services for digital media on AWS.
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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.
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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.
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Welcome, gamers! Since they emerged in 2009, cryptocurrencies have experienced their share of volatility, and are a continual source of fascination. Get a better understanding of cryptocurrency with the labs in this week's game.
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Earn a skill badge by completing the Create and Manage Cloud Resources quest, where you learn how to do the following: Write gcloud commands and use Cloud Shell, create and deploy virtual machines in Compute Engine, run containerized applications on Google Kubernetes Engine, and configure network and HTTP load balancers. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.
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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.
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Learn how to use system administration tools in the AWS cloud, including PowerShell, Storage Spaces and Microsoft System Center.
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Learn how to deploy Microsoft Windows Server-based applications in the AWS cloud, including Microsoft Exchange, Dynamics CRM and SharePoint.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.
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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam.
Visit AWS Certification to learn more about this exam and find more resources to prepare.
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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
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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.
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In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.
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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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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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Learn how you can migrate and modernize your workloads on Google's global, secure, and reliable infrastructure. Not sure how to choose the best path to the cloud for your company? Get hands-on experience with the console and see what works for you in these labs. Our goal is to help you take advantage of GCP's high performance computing, to turn your bold ideas into big discoveries with cost-effective, scalable infrastructure.
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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
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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.
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In 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.
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out! Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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Welcome, gamers!
Build your own data transformation pipeline that outputs results into BigQuery, all while winning points (and prizes!) in today's Qwiklabs game. Start taking the game lab to score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with the lab to get the maximum points. You can take each lab up to 5 times. Winners, collect your prizes at the front of the room!
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It's no secret that machine learning is 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. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Welcome, gamers!
Use the Google merch store's ecommerce dataset to run typical queries that businesses would want to know about customer purchasing habits, all while winning points (and prizes!) in today's Qwiklabs game. Start taking the game lab to score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with the lab to get the maximum points. You can take each lab up to 5 times. Winners, collect your prizes at the front of the room!
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Welcome, gamers!
Over a billion: that's how many Google Assistant devices will be out in the world by the end of the year. Want in? Learn to build your own Google Assistant app and win points in today's Qwiklabs game. Start taking the game lab to score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with the lab to get the maximum points. You can take each lab up to 5 times. Winners, collect your prizes at the front of the room!
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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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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, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals 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 Google Cloud knowledge to the test. 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.
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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. 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 the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
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In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features. 1-minute videos walk you through key concepts for each lab.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
Generative AI Explorer
Earned Aug 26, 2023 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned Mar 20, 2022 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Nov 21, 2021 EST
Alexa Skills Development
Earned Oct 24, 2021 EDT
Understand Your Google Cloud Costs
Earned Mar 10, 2021 EST
Deploy to Kubernetes in Google Cloud
Earned Nov 22, 2020 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned Sep 13, 2020 EDT
Website on Google Cloud
Earned Aug 23, 2020 EDT
Programming Windows on AWS
Earned Aug 16, 2020 EDT
Build a Website on Google Cloud
Earned Aug 9, 2020 EDT
Serverless Web Apps using Amazon DynamoDB
Earned Jun 28, 2020 EDT
Solutions Architect - Professional
Earned Jun 23, 2020 EDT
Digital Media
Earned Jun 23, 2020 EDT
Storage & CDN
Earned Jun 22, 2020 EDT
Applied Data: Blockchain
Earned Jun 20, 2020 EDT
Cryptocurrency Speedrun
Earned Jun 20, 2020 EDT
Create and Manage Cloud Resources
Earned Jun 19, 2020 EDT
Advanced ML: ML Infrastructure
Earned Jun 19, 2020 EDT
Advanced Operations Using Amazon Redshift
Earned Jun 19, 2020 EDT
SysOps Administrator - Associate
Earned Jun 18, 2020 EDT
Databases on AWS for Windows
Earned Jun 14, 2020 EDT
SysAdmin on AWS for Windows
Earned Jun 13, 2020 EDT
Corporate Apps on AWS for Windows
Earned Jun 13, 2020 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jun 11, 2020 EDT
Deployment & Management
Earned Jun 8, 2020 EDT
Websites & Web Apps
Earned Jun 7, 2020 EDT
Intro to ML: Image Processing
Earned Jun 5, 2020 EDT
Big Data on AWS
Earned Jun 5, 2020 EDT
Solutions Architect - Associate
Earned Jun 1, 2020 EDT
Security on AWS
Earned Jun 1, 2020 EDT
Google Developer Essentials
Earned May 31, 2020 EDT
Serverless Design with AWS Lambda
Earned May 28, 2020 EDT
Scientific Data Processing
Earned May 28, 2020 EDT
Baseline: Deploy & Develop
Earned May 25, 2020 EDT
Cloud Hero: Infrastructure Modernization
Earned May 19, 2020 EDT
Compute & Networking
Earned May 18, 2020 EDT
Exploring APIs
Earned May 9, 2020 EDT
DEPRECATED IoT in the Google Cloud
Earned Apr 30, 2020 EDT
DevOps Essentials
Earned Apr 26, 2020 EDT
Intro to ML: Language Processing
Earned Nov 10, 2019 EST
Data Transformation Game
Earned Apr 11, 2019 EDT
Machine Learning APIs
Earned Apr 11, 2019 EDT
BQML Game
Earned Apr 10, 2019 EDT
OK Google, go to YouTube! Next 19 game
Earned Apr 10, 2019 EDT
Data Science on Google Cloud
Earned Apr 5, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Mar 31, 2019 EDT
Baseline: Data, ML, AI
Earned Mar 19, 2019 EDT
Cloud Architecture
Earned Mar 17, 2019 EDT
Kubernetes in Google Cloud
Earned Mar 10, 2019 EDT
Google Cloud Essentials
Earned Sep 28, 2018 EDT
Baseline: Infrastructure
Earned Jul 26, 2018 EDT