Create and Manage Cloud Resources
Earned квіт. 4, 2019 EDT
Kubernetes in Google Cloud
Earned квіт. 1, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned бер. 17, 2019 EDT
Scientific Data Processing
Earned бер. 4, 2019 EST
[DEPRECATED] Data Engineering
Earned бер. 3, 2019 EST
Baseline: Data, ML, AI
Earned лют. 26, 2019 EST
Network Performance and Optimization
Earned лют. 19, 2019 EST
Networking Fundamentals in Google Cloud
Earned лют. 18, 2019 EST
Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models. This skill badge course is for professional Data Scientists and Machine Learning Engineers. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge to demonstrate skills in the following: configuring and building Docker container images, creating and managing Google Kubernetes Engine (GKE) clusters, utilizing kubectl for efficient cluster management, and deploying Kubernetes applications with robust continuous delivery (CD) practices. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The aim is to enable you to unlock the potentials of these models in your projects with Vertex AI Studio.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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Щоб отримати кваліфікаційний значок, пройдіть курси "Introduction to Generative AI", "Introduction to Large Language Models" й "Introduction to Responsible AI". Пройшовши завершальний тест, ви підтвердите, що засвоїли основні поняття, які стосуються генеративного штучного інтелекту.
Кваліфікаційний значок – це цифровий значок від платформи Google Cloud, який свідчить, що ви знаєтеся на продуктах і сервісах Google Cloud. Щоб опублікувати кваліфікаційний значок, зробіть свій профіль загальнодоступним, а також додайте значок у профіль у соціальних мережах.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.
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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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This course helps you structure your preparation for the
Professional Cloud Engineer exam. You will learn about the Google
Cloud domains covered by the exam and how to create a study
plan to improve your domain knowledge.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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Під час курсу ви зможете ознайомитися з продуктами й сервісами Google Cloud для роботи з масивами даних і машинним навчанням, які підтримують життєвий цикл роботи з даними для тренування моделей штучного інтелекту. У курсі розглядаються процеси, проблеми й переваги створення конвеєру масиву даних і моделей машинного навчання з Vertex AI у Google Cloud.
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Earn a skill badge by completing the Set Up a Google Cloud Network course, where you will learn how to: Set IAM features with the gcloud CLI tool; deploy and scale a web app on Google Compute Engine; provision a Kubernetes cluster and break an application into microservices; perform basic networking tasks on Google Cloud Platform; view BigQuery logs inside Cloud Logging, and migrate a stand-alone PostgreSQL database to Cloud SQL using a continuous Database Migration Service job. 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, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; building machine learning models using BigQuery ML; and using Cloud Composer to copy data across multiple locations. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Celebrate Diwali by learning new skills and earning new credentials! Get hands-on experience with Google Cloud’s powerful Networking, DevOps, and Machine Learning tools.
Complete the labs one by one. The faster you complete the lab objectives, the higher your score. You can take each lab up to 5 times. Good luck!
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Welcome to the Learn To Earn Cloud Challenge data plus track! "The Google Cloud Certified Professional Data Engineer certification is associated with the highest paying salary in IT," according to the most recent Global Knowledge skills and salary report (published August 2021). Complete this game to earn the Data Plus game badge, and be eligible for a +bonus+ prize in the Learn to Earn Cloud Challenge. See "what's next" below for details and requirements; you’ll need to earn at least 2 additional challenge badges to qualify. You'll learn next-level data skills to add to your resume. Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information).
Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Пройдіть квест Виконання завдань із продуктами для роботи з фундаментальною інфраструктурою в Google Cloud і отримайте значок за навички. Ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій: Cloud Storage, система керування ідентифікаційними даними й доступом, Cloud Functions і Pub/Sub. Значок за навички – це ексклюзивна цифрова винагорода, яка підтверджує, що ви вмієте працювати з продуктами й сервісами Google Cloud, а також застосовувати ці знання в інтерактивному практичному середовищі. Щоб отримати значок за навички й показати його колегам, пройдіть цей квест і підсумковий тест. Рівень попередньої підготовки. Перш ніж реєструватися на цей квест для отримання значка за навички, пройдіть квест Створення хмарних ресурсів і керування ними.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge to demonstrate skills in the following: filtering, sorting, and pivoting data, merging results from different Looker Explores, and using functions and operators to build Looker dashboards and reports for data analysis and visualization. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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It's time to roll up your sleeves and dig into some data to get hands-on practice in Looker the self-service data analytics platform! Complete every activity AND post a screenshot of your newly minted Skill Badge in the Learning Forum area of the Community (https://bit.ly/gcc-looker1) to earn a special Community Badge. The Community member* at the top of the scoreboard at the time the game is closed will be rewarded with something objectively cool. (*You must be a registered Community member to be included in the running for top dog.)
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Пройдіть квест Виконання завдань із фундаментальними даними, машинним навчанням і штучним інтелектом і отримайте значок за навички. Виконуючи завдання, ви дізнаєтеся про базові функції таких технологій машинного навчання та штучного інтелекту: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc і Video Intelligence API. Значок за навички – це ексклюзивна цифрова винагорода, яка підтверджує, що ви вмієте працювати з продуктами й сервісами Google Cloud, а також застосовувати ці знання в інтерактивному практичному середовищі. Щоб отримати значок за навички й показати його колегам, пройдіть цей квест і підсумковий тест.
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Пройдіть вступний кваліфікаційний курс Налаштування розподілу навантаження в Compute Engine, щоб продемонструвати свої навички написання команд gcloud і використання Cloud Shell, створення й розгортання віртуальних машин у Compute Engine, а також налаштування мережі й розподілювачів навантаження HTTP. Кваліфікаційний значок – це ексклюзивний цифровий значок від Google Cloud, який засвідчує, що ви знаєтеся на продуктах і сервісах цієї платформи й можете застосовувати ці знання в інтерактивному практичному середовищі. Щоб отримати кваліфікаційний значок і показати його колегам, пройдіть цей курс і підсумковий тест.
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In honor of the Launch of the Google Cloud Community and the Learning & Certification Hub (bit.ly/3gNtlMB), we’ve devised a fun little game to catapult your skills in BigQuery and give you a chance to win the First. Ever. Community. Learning. Challenge. (Pause for effect) Not only will participating in this game give you hands-on practice to boost key skills in BQ, but simply participating will earn you some sweet online badges. Plus, the winner of the game will be rewarded...handsomely . More details below... Complete every activity in this game and earn a Skill Badge which you can share across your network with pride. Complete every activity AND post a screenshot of your newly minted Skill Badge in the Learning Forum area of the Community (bit.ly/35LoLIB) to earn a special Community Badge which you can then flaunt over other community members shamelessly. The Community member at the top of the scoreboard at the time the game is closed will be rewarded with something objectively …
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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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Welcome to Cloud Implementation Approach! Click "Join this Game".
To modify your player name or avatar, go to your My Account page at https://google.qwiklabs.com.
Points are earned by completing the steps in the lab.... and bonus points are earned for speed! Be sure to complete each lab by selecting the END option to get the maximum points.
Please respect the GCP resource quotas that have been allocated. Otherwise, you'll waste your Game time and gain fewer points.
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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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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 Associate Cloud Engineer 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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It’s gameday! Watch your name move up the leaderboard and get valuable Kubernetes skills and experience to help you complete the 30-day challenge. Complete the game labs one by one 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 each lab to get the maximum points. All players will be awarded the game badge. The top 10 players get 25 free Qwiklabs credits. And the winner? We'll send you an ebook copy of the book "Kubernetes: Up and Running: Dive into the Future of Infrastructure" by Kelsey Hightower, Brendan Burns and Joe Beda (delivered via email). Hurry, the game is open for 12 hours only. Ready to play?
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It’s gameday! Watch your name move up the leaderboard and get one lab closer to completing your 30-day challenge. You can complete the game lab up to 5 times to maximize 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 each lab to get the maximum points. All players will be awarded the game badge. The top 10 players get 25 free Qwiklabs credits. And the winner? We'll send you an ebook copy of the book "Kubernetes: Up and Running: Dive into the Future of Infrastructure" by Kelsey Hightower, Brendan Burns and Joe Beda (delivered via email). Hurry, the game is open for 12 hours only. Ready to play?
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Welcome, gamers!
It’s gameday - watch your name move up the leaderboard and get 4 labs closer to completing your Networking quest. In today's game, experiment with VPC networks, firewalls and optimizing spend - plus maybe win a prize. Complete the game labs one by one 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 each lab to get the maximum points. Ready to play?
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Welcome, gamers!
Want to make the most of your Friday? Learn something new (might even help your next career move) and watch your name move on the leaderboard. (Hopefully upwards!) In today's game, experiment with containerization, Kubeflow, BigQuery and ML - plus maybe even win some prizes before the weekend starts. Complete the game labs one by one 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 each lab to get the maximum points. Ready to play?
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Welcome, gamers!
Feeling tense after a long week? Relax and learn something new - how about TensorFlow? In today's game, experiment with ML, TPUs, and TensorFlow, then finish the week with a Kubernetes twist. Complete the game labs one by one 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 each lab to get the maximum points. Ready to play?
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The move to Google® Cloud public cloud services is underway, and requirements for cloud security are real. Palo Alto Networks® offers innovative and comprehensive protection as you adopt public cloud services. The Palo Alto Networks solutions complement the native Google Cloud security toolset, including network, host and cloud-native security delivered through APIs for comprehensive protection. In this Quest, you will get hands-on practice with the Palo Alto Networks virtual next-generation firewall running in Google Cloud. You will gain practical experience that you can apply to improve visibility and security for your applications and workloads.
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Welcome, gamers!
Challenge yourself to learn advanced Kubernetes concepts as qwikly as possible with today's game. Experiment with ML, build and deploy a Docker image, practice scaling, and more. Complete the game labs one by one 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 each lab to get the maximum points. Ready to play?
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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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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections. 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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Пройдіть квест Create and Manage Cloud Resources й отримайте skill badge. Ви навчитеся виконувати наведені нижче дії. Писати команди gcloud і використовувати Cloud Shell, створювати й розгортати віртуальні машини в Compute Engine, запускати контейнерні додатки за допомогою Google Kubernetes Engine, а також налаштовувати розподілювачі навантаження для мережі й HTTP.Skill badge – це ексклюзивна цифрова винагорода, яка підтверджує, що ви вмієте працювати з продуктами й сервісами Google Cloud, а також застосовувати ці знання в інтерактивному практичному середовищі. Щоб отримати skill badge й показати його колегам, пройдіть цей квест і підсумковий тест.
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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 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 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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This advanced-level quest is unique amongst the other catalog 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 Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills 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. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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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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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This quest will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Networking Fundamentals in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.
Prompt Design in Vertex AI
Earned квіт. 3, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned квіт. 2, 2024 EDT
Generative AI Explorer - Vertex AI
Earned квіт. 2, 2024 EDT
Build and Deploy Machine Learning Solutions on Vertex AI
Earned квіт. 1, 2024 EDT
Deploy Kubernetes Applications on Google Cloud
Earned бер. 14, 2024 EDT
Gemini for Application Developers
Earned січ. 19, 2024 EST
Introduction to Vertex AI Studio
Earned лип. 24, 2023 EDT
Create Image Captioning Models
Earned лип. 24, 2023 EDT
Transformer Models and BERT Model
Earned лип. 23, 2023 EDT
Attention Mechanism
Earned лип. 17, 2023 EDT
Encoder-Decoder Architecture
Earned лип. 17, 2023 EDT
Introduction to Image Generation
Earned лип. 3, 2023 EDT
Generative AI Fundamentals - Українська
Earned лип. 3, 2023 EDT
Introduction to Responsible AI - Українська
Earned лип. 3, 2023 EDT
Introduction to Large Language Models - Українська
Earned лип. 3, 2023 EDT
Introduction to Generative AI - Українська
Earned лип. 2, 2023 EDT
App Deployment, Debugging, and Performance
Earned черв. 9, 2023 EDT
Getting Started With Application Development
Earned черв. 5, 2023 EDT
Create and Manage Cloud Spanner Instances
Earned трав. 16, 2023 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned бер. 30, 2023 EDT
How Google Does Machine Learning
Earned бер. 21, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned бер. 6, 2023 EST
Set Up a Google Cloud Network
Earned груд. 13, 2021 EST
Engineer Data for Predictive Modeling with BigQuery ML
Earned лист. 7, 2021 EST
Diwali with Qwiklabs 2021
Earned лист. 3, 2021 EDT
Learn to Earn Cloud Challenge: Data+
Earned вер. 30, 2021 EDT
Learn to Earn Cloud Challenge: Data
Earned вер. 15, 2021 EDT
Learn to Earn Cloud Challenge: Essentials
Earned вер. 15, 2021 EDT
Learn to Earn Cloud Challenge: Architecture
Earned вер. 15, 2021 EDT
Learn to Earn Cloud Challenge: Security
Earned вер. 15, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned серп. 29, 2021 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned серп. 18, 2021 EDT
Language, Speech, Text, & Translation with Google Cloud APIs
Earned серп. 17, 2021 EDT
Prepare Data for Looker Dashboards and Reports
Earned серп. 11, 2021 EDT
Looker Challenge - Part 1
Earned серп. 4, 2021 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned серп. 3, 2021 EDT
Implement Load Balancing on Compute Engine
Earned лип. 30, 2021 EDT
Launch & Learn: BigQuery Game
Earned черв. 27, 2021 EDT
DevOps Essentials
Earned вер. 4, 2020 EDT
Cloud Implementation Approach
Earned черв. 25, 2019 EDT
Deprecated Kubernetes Solutions
Earned черв. 22, 2019 EDT
Cloud Engineering
Earned черв. 17, 2019 EDT
Kubernetes Challenge Speedrun Game 2
Earned черв. 7, 2019 EDT
Kubernetes Challenge Speedrun: Game 1
Earned черв. 6, 2019 EDT
Networking Speedrun
Earned трав. 31, 2019 EDT
Kubernetes + Data Speedrun
Earned трав. 24, 2019 EDT
Friday Speedrun Game
Earned трав. 17, 2019 EDT
![Значок за [DEPRECATED] Network Security by Palo Alto Networks](https://cdn.qwiklabs.com/CwrfuIjM%2B4x2OCbGNe9orLkQVPycEI8mLbdGhMFBZ%2B0%3D)
[DEPRECATED] Network Security by Palo Alto Networks
Earned трав. 12, 2019 EDT
Kubernetes Speedrun Game
Earned трав. 10, 2019 EDT
Cloud Architecture
Earned квіт. 7, 2019 EDT
Security & Identity Fundamentals
Earned квіт. 6, 2019 EDT
Create and Manage Cloud Resources
Earned квіт. 4, 2019 EDT
Kubernetes in Google Cloud
Earned квіт. 1, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned бер. 17, 2019 EDT
Scientific Data Processing
Earned бер. 4, 2019 EST
![Значок за [DEPRECATED] Data Engineering](https://cdn.qwiklabs.com/%2BCsWnL49dO1EiQScypoKfAJdI8oWEgDWqu5PBt%2FWepc%3D)
[DEPRECATED] Data Engineering
Earned бер. 3, 2019 EST
Baseline: Data, ML, AI
Earned лют. 26, 2019 EST
Network Performance and Optimization
Earned лют. 19, 2019 EST
Networking Fundamentals in Google Cloud
Earned лют. 18, 2019 EST