Understanding LookML in Looker
Earned kwi 27, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned kwi 27, 2024 EDT
Developing Data Models with LookML
Earned kwi 20, 2024 EDT
Prompt Design in Vertex AI
Earned kwi 15, 2024 EDT
Set Up a Google Cloud Network
Earned kwi 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Polski
Earned kwi 6, 2024 EDT
Introduction to Responsible AI - Polski
Earned kwi 6, 2024 EDT
Introduction to Large Language Models - Polski
Earned kwi 6, 2024 EDT
Uzyskiwanie statystyk z danych BigQuery
Earned kwi 4, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned kwi 4, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned kwi 3, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned kwi 1, 2024 EDT
Kubernetes in Google Cloud
Earned mar 12, 2024 EDT
Getting Started with Google Kubernetes Engine - Locales
Earned lut 27, 2024 EST
Preparing for Your Associate Cloud Engineer Journey - Locales
Earned lut 26, 2024 EST
Elastic Google Cloud Infrastructure: Scaling and Automation - Locales
Earned lut 22, 2024 EST
Essential Google Cloud Infrastructure: Core Services - Locales
Earned lut 21, 2024 EST
Google Cloud Essentials
Earned lut 21, 2024 EST
Essential Google Cloud Infrastructure: Foundation - Locales
Earned lut 19, 2024 EST
Google Cloud Fundamentals: Core Infrastructure - Locales
Earned lut 15, 2024 EST
Use Machine Learning APIs on Google Cloud
Earned lut 7, 2024 EST
Automate Interactions with Contact Center AI
Earned lut 6, 2024 EST
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned sie 4, 2023 EDT
Create ML Models with BigQuery ML
Earned sie 2, 2023 EDT
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
Earned cze 21, 2023 EDT
Build Infrastructure with Terraform on Google Cloud
Earned cze 2, 2023 EDT
Deploy Kubernetes Applications on Google Cloud
Earned maj 31, 2023 EDT
Budowanie sieci w Google Cloud
Earned maj 30, 2023 EDT
Introduction to Generative AI - Polski
Earned maj 30, 2023 EDT
Google Cloud Fundamentals for AWS Professionals
Earned mar 6, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned mar 4, 2023 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned mar 3, 2023 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned mar 2, 2023 EST
Google Cloud Fundamentals: Core Infrastructure - Polski
Earned mar 2, 2023 EST
[DEPRECATED] Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned lut 28, 2023 EST
Google Developer Essentials
Earned lut 28, 2023 EST
[DEPRECATED]-Google Cloud Computing Foundations: Cloud Computing Fundamentals - Polski
Earned lut 27, 2023 EST
Understand Your Google Cloud Costs
Earned lut 26, 2023 EST
Website on Google Cloud
Earned lut 25, 2023 EST
Przygotowywanie danych do użycia z interfejsami ML w Google Cloud
Earned lut 20, 2023 EST
Budowanie bezpiecznej sieci Google Cloud
Earned lut 18, 2023 EST
Konfigurowanie środowiska programistycznego w Google Cloud
Earned lut 11, 2023 EST
Wdrażanie równoważenia obciążenia Cloud Load Balancing w Compute Engine
Earned lut 4, 2023 EST
This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.
Więcej informacji
This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
Więcej informacji
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
Więcej informacji
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
Więcej informacji
This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.
Więcej informacji
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
Więcej informacji
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
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This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.
After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
Więcej informacji
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
Więcej informacji
This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
Więcej informacji
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
Więcej informacji
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
Więcej informacji
This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.
Więcej informacji
This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
Więcej informacji
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
Więcej informacji
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
Więcej informacji
This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.
Więcej informacji
Aby zdobyć odznakę umiejętności, ukończ szkolenie Budowanie bezpiecznej sieci Google Cloud, w trakcie którego poznasz różne związane z siecią zasoby do budowania, skalowania i zabezpieczania aplikacji w Google Cloud.
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In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
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In this quest, you will get hands-on experience with LookML in Looker. You will 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.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course 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.
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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
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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.
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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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Im szerzej wykorzystuje się w firmach sztuczną inteligencję i systemy uczące się, tym większej wagi nabiera odpowiedzialne podejście do opracowywania tych technologii. Wielu organizacjom trudniej jest jednak wprowadzić zasady odpowiedzialnej AI w praktyce niż tylko o tym rozmawiać. To szkolenie jest przeznaczone dla osób, które chcą się dowiedzieć, jak wdrożyć odpowiedzialną AI w swojej organizacji.
W jego trakcie dowiesz się, jak robimy to w Google Cloud, oraz poznasz sprawdzone metody i wnioski z naszych działań w tym zakresie. Pomoże Ci to opracować własne podejście do odpowiedzialnej AI.
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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest odpowiedzialna AI i dlaczego jest ważna, oraz przedstawienie, jak Google wprowadza ją w swoich usługach. Szkolenie zawiera także wprowadzenie do siedmiu zasad Google dotyczących sztucznej inteligencji.
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To szybkie szkolenie dla początkujących wyjaśnia, czym są duże modele językowe (LLM) oraz jakie są ich zastosowania. Przedstawia również możliwości zwiększenia ich wydajności przez dostrajanie przy użyciu promptów oraz narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
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Ukończ szkolenie wprowadzające Uzyskiwanie statystyk z danych BigQuery, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie zapytań SQL, tworzenie zapytań dotyczących tabel publicznych, wczytywanie przykładowych danych w BigQuery, naprawianie typowych błędów składniowych przy użyciu walidatora zapytań w BigQuery oraz tworzenie raportów w Looker Studio przez tworzenie połączenia z danymi BigQuery.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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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 course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.
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This course, Getting Started with Google Kubernetes Engine - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Getting Started with Google Kubernetes Engine.
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
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This course, Preparing for Your Associate Cloud Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for Your Associate Cloud Engineer Journey.
This course helps you structure your preparation for the Associate 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, Elastic Google Cloud Infrastructure: Scaling and Automation - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Elastic Google Cloud Infrastructure: Scaling and Automation.
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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This course, Essential Google Cloud Infrastructure: Core Services - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Essential Google Cloud Infrastructure: Core Services. This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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This course, Essential Google Cloud Infrastructure: Foundation - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Essential Google Cloud Infrastructure: Foundation. This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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This course, Google Cloud Fundamentals: Core Infrastructure - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Fundamentals: Core Infrastructure.
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Earn a skill badge by completing the Automate Interactions with Contact Center AI quest, where you will learn about the features of Contact Center AI, including how to Build a virtual agent, Design conversation flows for your virtual agent; Add a phone gateway to your virtual agent; Use Dialogflow for troubleshooting; Review logs and debug your virtual agent. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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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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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Google Cloud Fundamentals for Azure Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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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 intermediate Deploy Kubernetes Applications on Google Cloud skill badge course 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.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Aby zdobyć odznakę umiejętności, ukończ szkolenie Budowanie sieci w Google Cloud, w trakcie którego poznasz różne sposoby wdrażania i monitorowania aplikacji i dowiesz się, jak: przeglądać role uprawnień, dodawać/usuwać dostęp do projektu, tworzyć sieci VPC, wdrażać i monitorować maszyny wirtualne Compute Engine, pisać zapytania SQL oraz wdrażać aplikacje przy użyciu różnych metod w Kubernetes.
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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest generatywna AI oraz jakie są jej zastosowania. Szkolenie przedstawia również różnice pomiędzy tą technologią a tradycyjnymi systemami uczącymi się, a także narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
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Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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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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Szkolenie Google Cloud Fundamentals: Core Infrastructure wprowadza ważne pojęcia i terminologię potrzebne w pracy z Google Cloud. Za pomocą filmów i praktycznych modułów szkolenie prezentuje oraz porównuje usługi Google Cloud umożliwiające między innymi przetwarzanie i przechowywanie danych, a także zawiera ważne materiały i narzędzia do zarządzania zasadami.
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Szkolenie Podstawy przetwarzania danych w Google Cloud pozwoli osobom z niewielkim
lub zerowym doświadczeniem z zakresu przetwarzania danych w chmurze szczegółowo
zapoznać się z najważniejszymi pojęciami z zakresu podstaw chmury, big data i systemów uczących się.
Zawiera także informacje o tym, gdzie i jak można wykorzystać Google Cloud.
Po zakończeniu szkolenia uczestnicy będą potrafili wyjaśnić pojęcia dotyczące przetwarzania danych w chmurze,
big data i systemów uczących się oraz zademonstrować wybrane umiejętności praktyczne.
To szkolenie należy do serii szkoleń o nazwie Google Cloud Computing Foundations (Podstawy usług w chmurze Google).
Szkolenia należy ukończyć w następującej kolejności:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundation…
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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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Szkolenie Podstawy przetwarzania danych w Google Cloud pozwoli osobom z niewielkim lub zerowym doświadczeniem z zakresu
przetwarzania danych w chmurze szczegółowo zapoznać się z najważniejszymi pojęciami z zakresu podstaw chmury, big data i systemów uczących się.
Zawiera także informacje o tym, gdzie i jak można wykorzystać Google Cloud.
Po zakończeniu szkolenia uczestnicy będą potrafili wyjaśnić pojęcia dotyczące przetwarzania danych w chmurze, big data i systemów uczących się oraz
zademonstrować wybrane umiejętności praktyczne.
TTo szkolenie należy do serii szkoleń o nazwie Google Cloud Computing Foundations (Podstawy usług w chmurze Google).
Szkolenia należy ukończyć w następującej kolejności:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundatio…
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This course is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.
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Ukończ szkolenie wprowadzające Przygotowywanie danych do użycia z interfejsami ML w Google Cloud, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: czyszczenie danych przy użyciu usługi Dataprep firmy Trifacta, uruchamianie potoków danych w Dataflow, tworzenie klastrów i uruchamianie zadań Apache Spark w Dataproc, a także wywoływanie interfejsów API dotyczących uczenia maszynowego, w tym Cloud Natural Language API, Google Cloud Speech-to-Text API oraz Video Intelligence API.
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Aby zdobyć odznakę umiejętności, ukończ szkolenie Budowanie bezpiecznej sieci Google Cloud, w trakcie którego poznasz różne związane z siecią zasoby do budowania, skalowania i zabezpieczania aplikacji w Google Cloud.
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Aby zdobyć odznakę umiejętności, ukończ szkolenie Konfigurowanie środowiska programistycznego w Google Cloud, w trakcie którego dowiesz się, jak utworzyć i podłączyć infrastrukturę w chmurzę do przechowywania danych przy użyciu podstawowych funkcji technologii Cloud Storage, Identity and Access Management, Cloud Functions oraz Pub/Sub.
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Ukończ szkolenie wprowadzające Wdrażanie równoważenia obciążenia Cloud Load Balancing w Compute Engine, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: tworzenie i wdrażanie maszyn wirtualnych w Compute Engine oraz konfigurowanie sieciowych systemów równoważenia obciążenia i systemów równoważenia obciążenia aplikacji.
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Cloud Security Risks: Identify and Protect Against Threats
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Strategies for Cloud Security Risk Management
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Introduction to Security Principles in Cloud Computing
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Detect, Respond, and Recover from Cloud Cybersecurity Attacks
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Put It All Together: Prepare for a Cloud Data Analyst Job
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The Power of Storytelling: How to Visualize Data in the Cloud
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Data Transformation in the Cloud
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Data Management and Storage in the Cloud
Earned lis 18, 2025 EST
Introduction to Data Analytics in Google Cloud
Earned lis 18, 2025 EST
Creating New BigQuery Datasets and Visualizing Insights
Earned paź 22, 2024 EDT
Get Started with Looker
Earned paź 21, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned sie 20, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned sie 20, 2024 EDT
Data Transformation in the Cloud
Earned lip 24, 2024 EDT
Data Management and Storage in the Cloud
Earned lip 22, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned lip 20, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned lip 19, 2024 EDT
Cloud Security Risks: Identify and Protect Against Threats
Earned lip 19, 2024 EDT
Strategies for Cloud Security Risk Management
Earned lip 18, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned lip 14, 2024 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Earned cze 29, 2024 EDT
Budowanie bezpiecznej sieci Google Cloud
Earned maj 16, 2024 EDT
Applying Advanced LookML Concepts in Looker
Earned kwi 30, 2024 EDT
Understanding LookML in Looker
Earned kwi 27, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned kwi 27, 2024 EDT
Developing Data Models with LookML
Earned kwi 20, 2024 EDT
Prompt Design in Vertex AI
Earned kwi 15, 2024 EDT
Set Up a Google Cloud Network
Earned kwi 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Polski
Earned kwi 6, 2024 EDT
Introduction to Responsible AI - Polski
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Introduction to Large Language Models - Polski
Earned kwi 6, 2024 EDT
Uzyskiwanie statystyk z danych BigQuery
Earned kwi 4, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned kwi 4, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned kwi 3, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned kwi 1, 2024 EDT
Kubernetes in Google Cloud
Earned mar 12, 2024 EDT
Getting Started with Google Kubernetes Engine - Locales
Earned lut 27, 2024 EST
Preparing for Your Associate Cloud Engineer Journey - Locales
Earned lut 26, 2024 EST
Elastic Google Cloud Infrastructure: Scaling and Automation - Locales
Earned lut 22, 2024 EST
Essential Google Cloud Infrastructure: Core Services - Locales
Earned lut 21, 2024 EST
Google Cloud Essentials
Earned lut 21, 2024 EST
Essential Google Cloud Infrastructure: Foundation - Locales
Earned lut 19, 2024 EST
Google Cloud Fundamentals: Core Infrastructure - Locales
Earned lut 15, 2024 EST
Use Machine Learning APIs on Google Cloud
Earned lut 7, 2024 EST
Automate Interactions with Contact Center AI
Earned lut 6, 2024 EST
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned sie 4, 2023 EDT
Create ML Models with BigQuery ML
Earned sie 2, 2023 EDT
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
Earned cze 21, 2023 EDT
Build Infrastructure with Terraform on Google Cloud
Earned cze 2, 2023 EDT
Deploy Kubernetes Applications on Google Cloud
Earned maj 31, 2023 EDT
Budowanie sieci w Google Cloud
Earned maj 30, 2023 EDT
Introduction to Generative AI - Polski
Earned maj 30, 2023 EDT
Google Cloud Fundamentals for AWS Professionals
Earned mar 6, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned mar 4, 2023 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
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Google Cloud Computing Foundations: Networking & Security in Google Cloud
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Google Cloud Fundamentals: Core Infrastructure - Polski
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[DEPRECATED] Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned lut 28, 2023 EST
Google Developer Essentials
Earned lut 28, 2023 EST
[DEPRECATED]-Google Cloud Computing Foundations: Cloud Computing Fundamentals - Polski
Earned lut 27, 2023 EST
Understand Your Google Cloud Costs
Earned lut 26, 2023 EST
Website on Google Cloud
Earned lut 25, 2023 EST
Przygotowywanie danych do użycia z interfejsami ML w Google Cloud
Earned lut 20, 2023 EST
Budowanie bezpiecznej sieci Google Cloud
Earned lut 18, 2023 EST
Konfigurowanie środowiska programistycznego w Google Cloud
Earned lut 11, 2023 EST
Wdrażanie równoważenia obciążenia Cloud Load Balancing w Compute Engine
Earned lut 4, 2023 EST