Introduction to Generative AI - Українська
Earned лип. 6, 2024 EDT
Level 3: GenAIus Travels
Earned лип. 5, 2024 EDT
The Arcade June Speedrun
Earned лип. 5, 2024 EDT
Level 2: Develop and Deploy
Earned лип. 5, 2024 EDT
Networking in Google Cloud: Hands-On Practice
Earned лип. 4, 2024 EDT
Build a Secure Google Cloud Network
Earned лип. 4, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned лип. 3, 2024 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned лип. 3, 2024 EDT
Level 1: Cloud Networking
Earned лип. 2, 2024 EDT
Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code. It lets you test the capabilities of the models with text, image, and video prompts from an app.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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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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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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This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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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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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
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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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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 course, 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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Зараз усі говорять про масиви даних, машинне навчання й штучний інтелект, але це досить вузькоспеціалізовані теми, про які важко знайти матеріали, зрозумілі не лише спеціалістам. На щастя, Google Cloud пропонує зручні сервіси в цих галузях, а завдяки цьому вступному курсу ви зможете ознайомитися з такими інструментами, як BigQuery, Cloud Speech API і Video Intelligence.
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
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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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Follow your favorite soccer/football stars as they go for glory in Germany with GenAIus Travel Guides and learn how to interact with chat applications, master prompt engineering, understand AI context, and work with Generative AI—all with no prior experience—and earn an exclusive Google Cloud Generative AI Credential to showcase your skills!
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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Докладніше
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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Constant communications are a thing in the Cloud, with networking connecting all your resources and services. Discover how to manage and optimize these communications using Google Cloud's powerful networking tools, and earn an exclusive Google Cloud Credential—no prior experience needed!
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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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 Dataproc, 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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Hey there! You're invited to game on with the Arcade Trivia for June Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for June Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 3 badge!
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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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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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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you 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.
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Hey there! You're invited to game on with the Arcade Trivia for June Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for June Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 1 badge!
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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.
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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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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
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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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Excited to follow your favorite soccer/football stars on their next quest? Use GenAIus Travel Guides to learn how to interact with chat applications, master prompt engineering, understand the importance of context in AI, and work with Generative AI. Earn an exclusive Google Cloud Generative AI Credential and showcase your new skills! No prior experience needed!
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Race to the finish line with the Arcade June Speedrun and pick up valuable skills along with an exclusive Google Cloud Credential. Get hands-on experience with APIs, learn how to build a serverless app, and more! No prior experience needed.
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Bring your ideas to life by gaining hands-on experience in application development and deployment on Google Cloud Platform. Master security, traffic management, and learn to use development frameworks while earning a Google Cloud Credential. No prior experience needed!
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This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.
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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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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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 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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The Cloud hums with constant communication, and the backbone of that connection is networking, linking all your resources and services. Get ready to gain hands-on experience with Google Cloud's powerful networking tools and earn an exclusive Google Cloud Credential—no prior experience needed!
Create and Manage AlloyDB Instances
Earned вер. 14, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned вер. 13, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned вер. 13, 2024 EDT
Manage Kubernetes in Google Cloud
Earned вер. 13, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned вер. 13, 2024 EDT
Analyze Images with the Cloud Vision API
Earned вер. 13, 2024 EDT
Build LookML Objects in Looker
Earned вер. 13, 2024 EDT
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Earned вер. 13, 2024 EDT
Gemini for Data Scientists and Analysts
Earned вер. 13, 2024 EDT
Gemini for Application Developers
Earned вер. 13, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned вер. 12, 2024 EDT
Production Machine Learning Systems
Earned вер. 12, 2024 EDT
Applying Machine Learning to your Data with Google Cloud
Earned вер. 12, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned вер. 12, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned вер. 11, 2024 EDT
Managing Machine Learning Projects with Google Cloud
Earned вер. 11, 2024 EDT
Intro to ML: Image Processing
Earned вер. 10, 2024 EDT
Intro to ML: Language Processing
Earned вер. 10, 2024 EDT
Початок роботи з даними, машинним навчанням і штучним інтелектом
Earned вер. 10, 2024 EDT
Derive Insights from BigQuery Data
Earned вер. 10, 2024 EDT
Generative AI Explorer - Vertex AI
Earned вер. 10, 2024 EDT
Level 3: GenAIus Travel Guides
Earned лип. 15, 2024 EDT
Analyze Speech and Language with Google APIs
Earned лип. 15, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned лип. 15, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned лип. 15, 2024 EDT
Analyze Sentiment with Natural Language API
Earned лип. 15, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned лип. 15, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned лип. 15, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned лип. 15, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned лип. 15, 2024 EDT
Get Started with Cloud Storage
Earned лип. 15, 2024 EDT
Level 1: Cloud Connections
Earned лип. 14, 2024 EDT
Set Up a Google Cloud Network
Earned лип. 14, 2024 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned лип. 14, 2024 EDT
The Arcade Trivia June 2024 Week 4
Earned лип. 12, 2024 EDT
The Arcade Trivia June 2024 Week 3
Earned лип. 12, 2024 EDT
The Basics of Google Cloud Compute
Earned лип. 11, 2024 EDT
Налаштування середовища для розробки додатка в Google Cloud
Earned лип. 10, 2024 EDT
Налаштування Cloud Load Balancing для Compute Engine
Earned лип. 10, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned лип. 9, 2024 EDT
The Arcade Trivia June 2024 Week 2
Earned лип. 9, 2024 EDT
The Arcade Trivia June 2024 Week 1
Earned лип. 9, 2024 EDT
Mitigate Threats and Vulnerabilities with Security Command Center
Earned лип. 7, 2024 EDT
Develop Serverless Apps with Firebase
Earned лип. 7, 2024 EDT
Cloud Architecture: Design, Implement, and Manage
Earned лип. 7, 2024 EDT
App Engine: 3 Ways
Earned лип. 6, 2024 EDT
Introduction to Generative AI - Українська
Earned лип. 6, 2024 EDT
Level 3: GenAIus Travels
Earned лип. 5, 2024 EDT
The Arcade June Speedrun
Earned лип. 5, 2024 EDT
Level 2: Develop and Deploy
Earned лип. 5, 2024 EDT
Networking in Google Cloud: Hands-On Practice
Earned лип. 4, 2024 EDT
Build a Secure Google Cloud Network
Earned лип. 4, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned лип. 3, 2024 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned лип. 3, 2024 EDT
Level 1: Cloud Networking
Earned лип. 2, 2024 EDT