Learn to Earn Cloud Challenge: Sports Data Analysis Skills
Earned лип. 4, 2022 EDT
Learn to Earn Cloud Data Challenge: Data Analyst Skills
Earned лип. 3, 2022 EDT
Build a Data Warehouse with BigQuery
Earned черв. 30, 2022 EDT
Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації.
У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.
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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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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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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.
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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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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування мережі Google Cloud. У ньому ви дізнаєтеся про різні способи розгортання й моніторингу додатків, зокрема навчитеся визначати ролі керування ідентифікацією і доступом, надавати або вилучати доступ до проектів, створювати мережі VPC, розгортати й відстежувати віртуальні машини Compute Engine, писати запити SQL, а також по-різному вводити додатки в дію за допомогою Kubernetes.
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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.
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Курс "Знайомство з Google Cloud: основна інфраструктура" охоплює важливі поняття й терміни щодо використання Google Cloud. Переглядаючи відео й виконуючи практичні завдання, слухачі ознайомляться з різними сервісами Google Cloud для обчислень і зберігання даних, а також важливими ресурсами й інструментами для керування правилами. Крім того, вони зможуть їх порівнювати.
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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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Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.
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'As businesses of all sizes move their operations to the cloud, the demand for cloud talent continues to grow. Want to be part of that talent pool? Game on to get familiar with data analysis and serverless technologies, and get your hands on a Google Cloud Credential that can help you stand out to potential employers. No prior experience required.'
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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
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Moving to the cloud can be scary. You don’t have to do it alone! Google Cloud partners are here to help. Join the challenge and get hands-on experience with how the partner ecosystem can help clear the creepy fog and light your way.
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Why celebrate Diwali with firecrackers when you can use Firebase? Learn how to import data into a Firestore database, create a build pipeline with Cloud Build to automate deployments, and build a Google Assistant application. Earn the badge for an arcade point and get one step closer to your swag goal. (OK fine, firecrackers are fun too.)
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
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Welcome to Qwiklabs Trivia for October! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the October badge.
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Are you feeling the festive vibes? Add some Flutter to your flowers when you join this game. Get hands-on experience with Flutter - Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Earn the badge for an arcade point and get one step closer to your swag goal. Bonus- You’ll also earn the Flutter Essentials badge!
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Like lanterns on the streets of cities, Looker shines light on data to give deeper insights. Join this game to learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML. Earn the badge for an arcade point and get one step closer to your swag goal.
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When the edges are crisp, the pattern flows, the colors sparkle, and the symmetry is perfect… wait, are we talking about Rangoli or spreadsheets? See what beauty Google Sheets can bring to your monthly reports. Join the game to learn how to analyze data with functions and visualize data using charts. Earn the badge for an arcade point and get one step closer to your swag goal.
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Welcome Gamers! Learn Google Cloud's Vertex AI, all while having fun! Vertex AI is Google Cloud's unified ML platform for solving your tough business problems. 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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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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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; and building machine learning models using BigQuery ML.
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Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Managed Service for Apache Spark, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.
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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
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Complete these 6 hands-on Google Cloud skills challenges by October 13th to earn a special digital badge, plus a no-cost e-copy of Priyanka Vergadia’s best selling Visualizing Google Cloud book!
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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
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Brains? Check.
Talent? Check.
Growth mindset? We can help with that!
It’s not just abilities and talent that bring success - but a growth mindset too. When you cultivate a growth mindset, you embrace obstacles, find opportunity in failure, and learn from mistakes. So whether you’re bootstrapping a startup or your personal career, come exercise your growth mindset muscles and explore a range of startup-focused tech. You’ll get hands-on experience with the tools people around the world use to get to the next stage of growth.
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This is the second of two courses of hands-on labs 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 second Quest, covering chapter 9 through the end of the book, you extend the skills practiced in the first Quest, and run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services.
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. This course explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology is a powerful asset, and when paired with data, it becomes a catalyst for innovation and enhanced customer experiences. Exploring Data Transformation with Google Cloud examines how organizations can leverage the cloud to make their data more accessible, actionable, and valuable.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Digital transformation is a critical journey for modern organizations, and establishing a strong baseline in cloud computing is the first step toward driving meaningful innovation. Digital Transformation with Google Cloud introduces the core technologies and strategic frameworks that help organizations modernize their operations. This course explores fundamental cloud concepts, global network infrastructure, and the shared responsibility model to help leaders navigate their path to the cloud with confidence.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.
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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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Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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These labs help you deep-dive into database and data engineering concepts and skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs help you get started with the skills you need to develop and train ML models. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
Gen AI Agents: Transform Your Organization
Earned трав. 25, 2025 EDT
Gen AI Apps: Transform Your Work
Earned трав. 22, 2025 EDT
Gen AI: Navigate the Landscape
Earned трав. 22, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned трав. 21, 2025 EDT
Gen AI: Beyond the Chatbot
Earned трав. 19, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська
Earned лист. 11, 2024 EST
Prompt Design in Agent Platform
Earned лист. 11, 2024 EST
Introduction to Responsible AI - Українська
Earned лист. 10, 2024 EST
Organize and Govern Data with Knowledge Catalog
Earned лип. 31, 2024 EDT
Introduction to Large Language Models - Українська
Earned лип. 31, 2024 EDT
Share Data Using Google Data Cloud
Earned лип. 31, 2024 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned лип. 20, 2024 EDT
Build a Secure Google Cloud Network
Earned лип. 20, 2024 EDT
Налаштування мережі Google Cloud
Earned лип. 20, 2024 EDT
Налаштування середовища для розробки додатка в Google Cloud
Earned лип. 6, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Yкраїнська
Earned лип. 4, 2024 EDT
Introduction to Generative AI - Українська
Earned черв. 30, 2024 EDT
Налаштування Cloud Load Balancing для Compute Engine
Earned черв. 5, 2024 EDT
Level 1: Data Analysis and Serverless Technologies
Earned жовт. 19, 2023 EDT
No Code November 2022 - Apps Scripts
Earned лист. 8, 2022 EST
No code november 2022
Earned лист. 4, 2022 EDT
Halloween 2022 Challenge
Earned жовт. 31, 2022 EDT
Diwali Game 4: Firecrackers and Firebase
Earned жовт. 27, 2022 EDT
Develop Serverless Apps with Firebase
Earned жовт. 27, 2022 EDT
Qwiklabs Trivia October 2022
Earned жовт. 25, 2022 EDT
Diwali Game 3: Flowers and Flutter
Earned жовт. 25, 2022 EDT
Diwali Game 2: Lanterns and Looker
Earned жовт. 24, 2022 EDT
Diwali Game 1: Rangoli and Google Sheets
Earned жовт. 23, 2022 EDT
Vertex AI
Earned жовт. 20, 2022 EDT
Preparing for your Professional Data Engineer Journey
Earned жовт. 11, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned жовт. 3, 2022 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned жовт. 3, 2022 EDT
Serverless Data Processing with Dataflow: Operations
Earned жовт. 3, 2022 EDT
#GoogleClout: Next Edition
Earned жовт. 1, 2022 EDT
Serverless Data Processing with Dataflow: Develop Pipelines
Earned вер. 28, 2022 EDT
GO! A startup & growth mindset challenge
Earned вер. 26, 2022 EDT
[Deprecated] Data Science on Google Cloud: Machine Learning
Earned вер. 25, 2022 EDT
Serverless Data Processing with Dataflow: Foundations
Earned вер. 23, 2022 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned вер. 22, 2022 EDT
Build Streaming Data Pipelines on Google Cloud
Earned вер. 18, 2022 EDT
Build Batch Data Pipelines on Google Cloud
Earned вер. 16, 2022 EDT
Scaling with Google Cloud Operations
Earned вер. 11, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned вер. 10, 2022 EDT
Exploring Data Transformation with Google Cloud
Earned вер. 10, 2022 EDT
Digital Transformation with Google Cloud
Earned вер. 10, 2022 EDT
#GoogleClout Set 11 (10/10)
Earned вер. 9, 2022 EDT
#GoogleClout Set 10 (9/10)
Earned вер. 9, 2022 EDT
#GoogleClout Set 9 (8/10)
Earned вер. 9, 2022 EDT
#GoogleClout Set 8 (7/10)
Earned вер. 9, 2022 EDT
#GoogleClout Set 7
Earned вер. 8, 2022 EDT
#GoogleClout Set 5 (4/10)
Earned вер. 7, 2022 EDT
#GoogleClout Set 4 (3/10)
Earned вер. 7, 2022 EDT
#GoogleClout Set 3 (2/10)
Earned вер. 7, 2022 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned вер. 4, 2022 EDT
Налаштування Cloud Load Balancing для Compute Engine
Earned серп. 31, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned серп. 30, 2022 EDT
#GoogleClout Set 2, 1/10
Earned серп. 11, 2022 EDT
#GoogleClout Set 6 (5/10)
Earned серп. 9, 2022 EDT
Learn to Earn Cloud Data Challenge: Data & Database Engineering Skills
Earned лип. 7, 2022 EDT
Learn to Earn Cloud Challenge: Machine Learning Engineering Skills
Earned лип. 5, 2022 EDT
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Earned лип. 4, 2022 EDT
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Earned лип. 3, 2022 EDT
Build a Data Warehouse with BigQuery
Earned черв. 30, 2022 EDT