Google Cloud Run Serverless Workshop
Earned Jul 1, 2022 EDT
DEPRECATED IoT in the Google Cloud
Earned Jul 1, 2022 EDT
DEPRECATED Exploring APIs
Earned Jul 1, 2022 EDT
Baseline: Deploy & Develop
Earned Jul 1, 2022 EDT
Website on Google Cloud
Earned Jul 1, 2022 EDT
Cloud Development
Earned Jun 30, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Jun 30, 2022 EDT
Google Developer Essentials
Earned Jun 30, 2022 EDT
Cloud-Architektur: Entwerfen, umsetzen und verwalten
Earned Jun 30, 2022 EDT
Monitoring und Logging mit Google Cloud Observability
Earned Jun 30, 2022 EDT
DevOps-Workflows in Google Cloud implementieren
Earned Jun 30, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned Jun 29, 2022 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Jun 29, 2022 EDT
DEPRECATED Cloud Architecture
Earned Jun 29, 2022 EDT
Understand Your Google Cloud Costs
Earned Jun 29, 2022 EDT
DevOps Essentials
Earned Jun 29, 2022 EDT
Google Cloud-Netzwerk entwickeln
Earned Jun 28, 2022 EDT
Cloud-Entwicklung
Earned Jun 28, 2022 EDT
Kubernetes-Anwendungen in Google Cloud bereitstellen
Earned Jun 28, 2022 EDT
Kubernetes in Google Cloud
Earned Jun 27, 2022 EDT
Geschütztes Google Cloud-Netzwerk erstellen
Earned Jun 27, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Jun 27, 2022 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Mai 17, 2022 EDT
Referenz – Infrastruktur
Earned Mai 17, 2022 EDT
Google Cloud Essentials
Earned Mai 9, 2022 EDT
Load Balancing in der Compute Engine implementieren
Earned Mai 8, 2022 EDT
Now that you have found your seat as a Skills Boost Arcade Facilitator Cohort 2 , it's time to claim your badge!
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This set of labs helps you explore, manage, and visualize data effectively while also diving into task automation and performance testing on Google Cloud. You’ll work with tools like Looker and Looker Studio to model data, create derived tables, and build compelling dashboards for insights into billing and usage. You’ll also explore data governance with Data Catalog and service discovery using Service Directory. On the automation front, you’ll set up scheduled jobs with Cloud Scheduler and use Kubernetes for distributed load testing. Additionally, you'll learn how to test network latency between VMs and earn an exclusive Google Cloud Credential!
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Thinking about certifications or just want to see how far you've come? This challenge is your chance to sharpen your skills with help from Generative AI. Start by reflecting on where you stand in the digital space, then jump into Gen AI-powered reviews tailored to key Google Cloud certifications like Generative AI Digital, Data Practitioner, Cloud Developer, and DevOps Engineer. Wrap things up with fun, fast quizzes to test what you’ve learned and spot areas to improve. Its a smarter, more focused way to prep—and a great way to keep your journey in the cloud going strong!
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This set of labs helps you get practical experience deploying applications and managing cloud infrastructure on Google Cloud. You’ll start by launching apps using App Engine and Dataflow across languages like PHP, Go, and Python. Then, you’ll explore how to design and manage Virtual Private Cloud (VPC) networks, control access, and use tools like internal load balancers and Cloud CDN to optimize performance and cost. As you go, you'll gain hands-on experience with Terraform to automate infrastructure deployment and maintain state across environments. Whether you're new to cloud deployment or looking to sharpen your networking and automation skills, these labs provide a strong foundation for building scalable, efficient applications.
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Hey there! You're invited to game on with Skills Boost 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 Skills Boost 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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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 50 people to complete the challenge and earn a 50% discount voucher for your next Google Cloud Generative AI Leader certification exam. Welcome!
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Lace up for the Learn-a-Thon, your ultimate endurance challenge to master Google Cloud! This game features dynamic, hands-on labs where you'll conquer advanced topics like Terraform for robust load balancing, extract deep insights using Cloud ML APIs for perceptive text analysis, explore the fundamentals of EOSIO blockchain, and deploy Jenkins on Kubernetes for seamless CI/CD. Rack up points, earn a prestigious badge, and truly accelerate your cloud expertise.
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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar.
You will understand when to apply different event types such as tasks and appointment schedules.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working.
During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace.
With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required.
Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically.
You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.
Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet.
Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…
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In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace.
You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links.
We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments.
You learn about using host controls in Google Meet to manage participants and utilize interactive moderation features. You also learn how to record and live stream video conferences.
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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically.
In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document.
You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more.
You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents.
Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents.
We will review a few of the G…
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With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.
Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved.
You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations.
You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your presentation for visual effects.
We will discuss how to organize slides and explore some of the options, including duplicating and ordering your slides, importi…
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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device.
In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive.
Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content.
Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned.
You’ll also explore ways to ensure consistency and save time…
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This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.
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This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.
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Dieser Kurs gibt Machine-Learning-Anwendern alle grundlegenden Tools, Techniken und Best Practices zur Bewertung von generativen und prädiktiven KI-Modellen an die Hand. Die Modellbewertung ist ein wichtiger Schritt, bei dem geprüft wird, ob ML-Systeme in der Produktion zuverlässige, genaue und leistungsstarke Ergebnisse erzielen.
Die Teilnehmer erwerben fundierte Kenntnisse über verschiedene Bewertungsmesswerte und -methoden und lernen, sie auf unterschiedliche Modelltypen und Aufgaben anzuwenden. Im Kurs wird schwerpunktmäßig auf die besonderen Herausforderungen generativer KI-Modelle eingegangen und es werden Strategien vorgestellt, wie sich diese effektiv bewältigen lassen. Die Teilnehmer lernen auf der Plattform Vertex AI von Google Cloud, robuste Bewertungsprozesse zur Auswahl, Optimierung und kontinuierlichen Überwachung des Modells zu implementieren.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
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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Da die Nutzung von künstlicher Intelligenz und Machine Learning in Unternehmen weiter zunimmt, wird auch deren verantwortungsbewusste Entwicklung ein immer wichtigeres Thema. Dabei ist es für viele schwierig, die Überlegungen zur verantwortungsbewussten Anwendung von KI in die Praxis umzusetzen. Wenn Sie wissen möchten, wie sich die verantwortungsbewusste Anwendung von KI in die Praxis umsetzen, also operationalisieren lässt, finden Sie in diesem Kurs entsprechende Hilfestellungen.
In diesem Kurs erfahren Sie, wie dies mit Google Cloud heutzutage möglich ist, inklusive entsprechender Best Practices und Erkenntnisse. Es wird gezeigt, welches Framework Google Cloud bietet, um einen eigenen Ansatz für die verantwortungsbewusste Anwendung von KI zu entwickeln.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
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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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.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
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 applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
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 can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
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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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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This challenge is designed to help you get comfortable working with data across tools like Google Sheets, BigQuery, Looker, and even Google Docs. You’ll start by learning how to find, filter, and visualize data in Sheets, and run quick-start projects using Pub/Sub, BigQuery, Dataplex, and Cloud Filestore from the command line. From there, you’ll dive deeper—writing SQL to explore real-world datasets, spotting common query errors, and troubleshooting data models in Looker. You’ll also pick up best practices to make your LookML projects easier to use and maintain. Whether you're just exploring or solving tricky issues, these labs give you the practical skills to work smarter with your data.
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Hey there! You're invited to game on with Qwiklabs Trivia for October 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October week 1 badge!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
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Mit dem Skill-Logo zum Kurs ML-Lösungen mit Vertex AI erstellen und bereitstellen weisen Sie fortgeschrittene Kenntnisse nach. Sie lernen in diesem Kurs, wie Sie die Vertex AI-Plattform von Google Cloud, AutoML und benutzerdefinierte Trainingsdienste nutzen, um Machine-Learning-Modelle zu trainieren, zu bewerten, abzustimmen, zu erklären und bereitzustellen. Dieser Kurs richtet sich an professionelle Data Scientists und Machine Learning Engineers. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über Produkte und Dienste von Google Cloud belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, Ihr Wissen in einer interaktiven praxisnahen Umgebung anzuwenden. Absolvieren Sie diese Aufgabenreihe und die Challenge-Lab-Prüfung, um ein digitales Abzeichen zu erhalten, das Sie in Ihrem Netzwerk posten können.
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Sichern Sie sich ein Skill-Logo, indem Sie den Kurs Erste Schritte mit Google Workspace-Tools abschließen. Darin lernen Sie die Plattform zur Zusammenarbeit von Google kennen und erfahren, wie Sie Gmail, Kalender, Meet, Drive, Sheets und AppSheet verwenden.
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Complete the intermediate Discover and Protect Sensitive Data Across Your Ecosystem skill badge to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention (DLP) API) to discover, inspect, redact, and de-identify sensitive data across your Google Cloud ecosystem including Cloud Storage files, BigQuery data, and Gen AI model responses.
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Mit dem Skill-Logo Infrastruktur mit Terraform in Google Cloud erstellen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Grundsätze von Infrastruktur als Code (IaC) unter Verwendung von Terraform, Bereitstellen und Verwalten von Google Cloud-Ressourcen mit Terraform-Konfigurationen, effektives Statusmanagement (lokal und remote) und die Modularisierung von Terraform-Code für Wiederverwendbarkeit und Organisation.
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Earn a skill badge by completing the Develop with Apps Script and AppSheet skill badge course, where you learn how to build chat bots and how to use the script editor in any document.
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Mit dem Skill-Logo zum Kurs Rich-Dokumente mit Gemini Multimodal und Multimodal RAG untersuchen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Verwenden von multimodalen Prompts, um Informationen aus Text- und Bilddaten zu gewinnen; Erstellen einer Videobeschreibung und Abrufen von zusätzlichen, über das Video hinausgehenden Informationen unter Verwendung von Multimodalität mit Gemini; Erstellen von Metadaten von Dokumenten mit Text und Bildern; Ermitteln aller relevanten Textabschnitte und Drucken von Zitationen durch Nutzung von multimodaler Retrieval-Augmented Generation (RAG) mit Gemini. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, Ihr Wissen in einer interaktiven praxisnahen Geschäftssituation anzuwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Sk…
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs Google Cloud-Netzwerk einrichten abschließen. Dabei lernen Sie, wie Sie grundlegende Netzwerkaufgaben in Google Cloud ausführen. Sie richten ein benutzerdefiniertes Netzwerk ein, fügen Firewallregeln für Subnetze hinzu, erstellen VMs und testen dann die Latenz bei der Kommunikation zwischen den VMs.
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Erhalten Sie ein Skill-Logo, indem Sie die Aufgabenreihe für Fortgeschrittene Funktionen, Formeln und Diagramme in Google Sheets verwenden abschließen. Dabei nutzen Sie Funktionen zum Analysieren von Daten und visualisieren diese mithilfe von Diagrammen. Sie erfahren, wie Sie Daten durchsuchen, validieren, formatieren und anzeigen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, Ihr Wissen in einer interaktiven praxisnahen Umgebung anzuwenden. Absolvieren Sie eine Skill-Logo-Aufgabenreihe und die Challenge-Lab-Prüfung, um ein digitales Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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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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Mit dem Skill-Logo Generative KI mit der Gemini API in Vertex AI nutzen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Textgenerierung, Bild- und Videoanalyse für eine verbesserte Erstellung von Inhalten und die Verwendung von Funktionsaufrufen in der Gemini API. Sie erfahren, wie Sie ausgefeilte Gemini-Techniken einsetzen, multimodale Inhalte erstellen und in KI-Projekten noch mehr Möglichkeiten nutzen können.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.
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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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Mit dem Skill-Logo Dienstkonten und IAM-Rollen für Google Cloud konfigurieren weisen Sie Grundkenntnisse nach. In diesem Kurs lernen Sie Dienstkonten und benutzerdefinierte Rollen kennen und erfahren, wie Sie mit gcloud Berechtigungen festlegen.
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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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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Mit dem Skill-Logo Erste Schritte mit Dataplex weisen Sie Grundkenntnisse in den folgenden Bereichen nach: Dataplex-Assets erstellen, Aspekttypen erstellen, und Aspekte auf Einträge in Dataplex anwenden.
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Earn a skill badge by completing the Create a Streaming Data Lake on Cloud Storage course, where you use Pub/Sub, Dataflow, and Cloud Storage together to create a streaming data lake 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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Erhalten Sie ein Skill-Logo, indem Sie die Aufgabenreihe Streamanalyse in BigQuery abschließen. In dieser Reihe verwenden Sie Pub/Sub, Dataflow und BigQuery zusammen, um Daten für Analysen zu streamen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer interaktiven praxisnahen Geschäftssituation anwenden. Absolvieren Sie diese Aufgabenreihe und die Challenge-Lab-Prüfung, um ein digitales Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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Cloud Storage, Cloud Functions und Cloud Pub/Sub sind Google Cloud- Plattformdienste, die zum Speichern, Verarbeiten und Verwalten von Daten verwendet werden können. Alle drei Dienste können zusammen verwendet werden, um eine Vielzahl datengesteuerter Anwendungen zu erstellen. In diesem Kurs verwenden Sie Cloud Storage zum Speichern von Bildern, Cloud Functions zum Verarbeiten der Bilder und Cloud Pub/Sub, um die Bilder an eine andere Anwendung zu senden.
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Cloud Storage, Cloud Functions und Cloud Pub/Sub sind Google Cloud- Plattformdienste, die zum Speichern, Verarbeiten und Verwalten von Daten verwendet werden können. Alle drei Dienste können zusammen verwendet werden, um eine Vielzahl datengesteuerter Anwendungen zu erstellen. In diesem Kurs verwenden Sie Cloud Storage zum Speichern von Bildern, Cloud Functions zum Verarbeiten der Bilder und Cloud Pub/Sub, um die Bilder an eine andere Anwendung zu senden.
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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables.
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Earn a skill badge by completing the Tag and Discover BigLake Data skill badge course, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables.
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Mit dem Skill-Logo „Praxisorientierte KI-Anwendungen mit Gemini und Imagen entwickeln“ weisen Sie Grundkenntnisse
in folgenden Bereichen nach: Bilderkennung, Natural Language Processing, Bildgenerierung mit den leistungsstarken
Gemini- und Imagen-Modellen von Google sowie Bereitstellen von Anwendungen auf der Vertex AI-Plattform.
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Earn a Introductory skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.
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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 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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Mit dem Skill-Logo zum Kurs Monitoring in Google Cloud weisen Sie Grundkenntnisse in den folgenden Bereichen nach: Verwendung von Cloud Monitoring-Tools zur Überwachung von Ressourcen in Google Cloud.
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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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Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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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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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
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Sichern Sie sich ein Skill-Logo, indem Sie die Aufgabenreihe Erste Schritte mit API Gateway abschließen. Dort lernen Sie, wie Sie mit dem vollständig verwalteten API Gateway APIs bereitstellen, schützen und verwalten.
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Sichern Sie sich ein Skill-Logo, indem Sie die Aufgabenreihe Erste Schritte mit Pub/Sub abschließen. Dabei lernen Sie, wie Sie Pub/Sub über die Cloud Console verwenden, wie Cloud Scheduler-Jobs Ihnen die Arbeit erleichtern können und in welchen Fällen Sie mit Pub/Sub Lite bei der Aufnahme großer Ereignisdatenmengen Geld sparen können.
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Sichern Sie sich ein Skill-Logo, indem Sie den Kurs Verwenden der Google Cloud Speech API abschließen. Dabei lernen Sie, wie Sie eine Speech-to-Text API-Anfrage erstellen sowie Audiodateien und Sprache transkribieren.
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Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 1 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 4 badge!
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Modern apps don’t just need to run—they need to run smart, fast, and secure. With these labs, you'll get hands-on with the foundational tools that power today's connected experiences. You'll configure VPC networks, manage identity with IAM and IAP, and monitor systems using Prometheus and Cloud Monitoring. You’ll also deploy serverless apps with Cloud Run and generate PDFs with Go. It’s everything you need to sharpen your networking know-how—fast!
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Erhalten Sie ein Skill-Logo, indem Sie die Aufgabenreihe Einen sicheren Data Lake in Cloud Storage erstellen abschließen. Dabei kommen Cloud Storage, IAM und Dataplex zum Einsatz.
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Build smarter, more connected applications while keeping security at the forefront. These hands-on labs take you through creating dynamic Gmail Add-ons, Google Chat Bots, and AI-powered document tools. You'll also explore securing cloud environments with Binary Authorization, detecting threats with Security Command Center, and monitoring performance with Google Cloud’s managed services. Get ready to develop, secure, and optimize with confidence!
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Welcome to the Arcade Quiz, where every question is a chance to learn, explore, and challenge yourself. Explore a variety of intriguing topics, put your cloud knowledge to the test, and complete all the challenges to earn an exclusive Google Cloud Credential!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 1 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 3 badge!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
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Get hands-on with Google Cloud’s core infrastructure and API capabilities. These labs walk you through deploying virtual machines, setting up network load balancers, and provisioning services through Cloud Marketplace. You'll also explore API management with API Gateway and enhance security with Cloud Data Loss Prevention and earn an exclusive Google Cloud Credential!
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Learn how to streamline healthcare data management with cloud technology. In these hands-on labs, you'll work with FHIR and HL7v2 data using the Healthcare API, de-identify medical images, and build a secure data lake on Cloud Storage. You'll also explore ways to cut cost and process large datasets with Cloud Dataproc. Whether it's managing patient records or securing sensitive data, these labs will equip you with the skills to enhance healthcare technology.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Mit dem Skill-Logo zum Kurs Cloud Speech API: 3 Möglichkeiten weisen Sie Grundkenntnisse nach, indem Sie lernen, wie Sie sprachbezogene API-Tools verwenden, um Sprache zu synthetisieren und zu transkribieren.
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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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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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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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Sichern Sie sich ein Skill-Logo, indem Sie die Aufgabenreihe Google Cloud Compute: Grundlagen abschließen. Dabei lernen Sie, wie Sie Compute Engine bei der Arbeit mit virtuellen Maschinen (VMs), nichtflüchtigen Speichern und Webservern nutzen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer interaktiven praxisnahen Umgebung anwenden. Absolvieren Sie diese Skill-Logo-Aufgabenreihe und die Challenge-Lab-Prüfung, um ein digitales Abzeichen zu bekommen, das Sie in Ihrem Netzwerk posten können.
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Now that you have found your seat as a Google Cloud Arcade Facilitator, it's time to claim your badge!
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GOOOOAALLL! Get practical experience on the fundamentals of sports data science no matter who you're cheering for in this week's matches. Use BigQuery ML to train advanced models to predict goals and evaluate performance. Complete labs to learn new skills and earn the badge. No prior experience needed!
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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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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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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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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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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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Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Dataproc sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Mit dem Skill-Logo zum Kurs Data Warehouse mit BigQuery erstellen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Daten zusammenführen, um neue Tabellen zu erstellen, Probleme mit Joins lösen, Daten mit Unions anhängen, nach Daten partitionierte Tabellen erstellen und JSON, Arrays sowie Strukturen in BigQuery nutzen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud vergeben wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer praxisnahen Geschäftssituation anwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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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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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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Machine Learning gehört zu den am schnellsten wachsenden Technologiefeldern – und Google Cloud hat zu dessen Weiterentwicklung maßgeblich beigetragen. Dank zahlreicher APIs bietet Google Cloud ein Tool für nahezu jede Aufgabe im Bereich des maschinellen Lernens. In diesem Kurs für Einsteiger können Sie praktische Erfahrungen mit Machine Learning hinsichtlich der Sprachverarbeitung sammeln. Sie absolvieren Labs, in denen Sie Entitäten aus Text extrahieren, Sentiment- und Syntaxanalysen durchführen und die Speech-to-Text API für Transkriptionen verwenden.
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Big Data, Machine Learning und künstliche Intelligenz sind heutzutage sehr wichtige Themen. Diese Technologiefelder bringen jedoch sehr spezielle Anforderungen mit sich und es ist schwierig, einführende Materialien dafür zu finden. Google Cloud bietet nutzerfreundliche Dienste in diesen Bereichen an, die in diesem Kurs für Einsteiger behandelt werden. Verschaffen Sie sich Einblicke in die Nutzung von Tools wie BigQuery, der Cloud Speech API und Video Intelligence.
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Mit dem Skill-Logo zum Kurs Grundlegende Sicherheitsfunktionen in Google Cloud implementieren weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen und Zuweisen von Rollen mit Identity and Access Management (IAM); Erstellen und Verwalten von Dienstkonten; Herstellen einer privaten Verbindung zwischen Virtual Private Cloud-Netzwerken (VPC); Beschränken des Anwendungszugriffs mithilfe von Identity-Aware Proxy; Verwalten von Schlüsseln und verschlüsselten Daten mit Cloud Key Management Service (KMS); und Erstellen eines privaten Kubernetes-Clusters.
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Sicherheit hat bei Google Cloud-Diensten oberste Priorität. Google Cloud verfügt daher über spezielle Tools, die beim Thema Schutz und Identität für Sicherheit in Ihren Projekten sorgen. In diesem Kurs für Einsteiger sammeln Sie praktische Erfahrungen mit Google Cloud Identity and Access Management (IAM), einer erprobten Lösung für die Verwaltung von Nutzer- und VM-Konten. Außerdem erhalten Sie Einblicke in die Netzwerksicherheit, indem Sie Virtual Private Clouds (VPCs) und virtuelle private Netzwerke (VPNs) bereitstellen. Darüber hinaus lernen Sie, welche Tools Sie zum Schutz vor Sicherheitsbedrohungen und Datenverlusten einsetzen können.
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Mit dem Skill-Logo zum Kurs Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen von Pipelines für die Datentransformation nach BigQuery mithilfe von Dataprep von Trifacta; Extrahieren, Transformieren und Laden (ETL) von Workflows mit Cloud Storage, Dataflow und BigQuery; und Erstellen von Machine-Learning-Modellen mithilfe von BigQuery ML.
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Mit dem Skill-Logo zum Kurs ML-Modelle mit BigQuery ML erstellen weisen Sie fortgeschrittene Kenntnisse in folgendem Bereich nach: Erstellen und Bewerten von Machine-Learning-Modellen mit BigQuery ML, um Datenvorhersagen zu treffen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, Ihr Wissen in einer interaktiven praxisnahen Umgebung anzuwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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Mit dem Skill-Logo zum Kurs Informationen aus BigQuery-Daten ableiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Schreiben von SQL-Abfragen, Abfragen öffentlicher Tabellen, Laden von Beispieldaten in BigQuery, Beheben häufig auftretender Syntaxfehler mithilfe der Abfragevalidierung in BigQuery und Erstellen von Berichten in Looker Studio durch Herstellen einer Verbindung zu BigQuery-Daten.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Sie möchten Machine-Learning-Modelle mithilfe von SQL in Minuten statt in Stunden erstellen? BigQuery ML sorgt für eine breite Nutzung von Machine Learning, indem es Datenanalysten ermöglicht, ML-Modelle zu erstellen, zu trainieren und zu bewerten sowie mit den Modellen und vorhandenen SQL-Tools und ‑Fähigkeiten Vorhersagen zu treffen. In dieser Lab-Reihe experimentieren Sie mit verschiedenen Modelltypen und erfahren, was für ein gutes Modell notwendig ist.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Mit dem Skill-Logo Serverlose Anwendungen in Cloud Run entwickeln weisen Sie Kenntnisse in den folgenden Bereichen nach: Cloud Run für Datenmanagement in Cloud Storage integrieren, mit Cloud Run und Pub/Sub die Architektur von asynchronen, ausfallsicheren Systemen erstellen, REST API-Gateways basierend auf Cloud Run aufbauen und Dienste auf Cloud Run entwickeln und bereitstellen.
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Mit dem Skill-Logo Serverlose Apps mit Firebase entwickeln weisen Sie Kenntnisse in den folgenden Bereichen nach: serverlose Webanwendungen mit Firebase entwickeln, Firestore für die Datenbankverwaltung verwenden, Bereitstellungsprozesse mit Cloud Build automatisieren und Google Assistant-Funktionen in Ihre Anwendungen integrieren.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud skill badge course. This course is based on the Get Cooking in Cloud series and covers`:`Deploying a website on Cloud RunHosting a web app on Compute EngineCreating, deploying, and scaling your website on Google Kubernetes EngineMigrating from a monolithic application to a microservices architecture using Cloud Build
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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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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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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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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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Erhalten Sie ein Skill-Logo, indem Sie den Kurs Cloud-Architektur: Entwerfen, umsetzen und verwalten abschließen. Dabei können Sie Fähigkeiten nachweisen, die für folgende Aufgaben nötig sind: eine öffentlich zugängliche Website mit Apache-Webservern bereitstellen, eine Compute Engine-VM mithilfe von Startscripts konfigurieren, sicheres RDP durch Nutzung von Firewallregeln und eines Windows-Bastion Hosts konfigurieren, ein Docker-Image in einem Kubernetes-Cluster bereitstellen und anschließend aktualisieren sowie eine Cloud SQL-Instanz erstellen und eine MySQL-Datenbank importieren. Diese Aufgabenreihe bietet eine gute Grundlage für bestimmte Themen, die Teil der Zertifizierungsprüfung zum Google Cloud Certified Professional Cloud Architect sind. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer …
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Mit dem Skill-Logo Monitoring und Logging mit Google Cloud Observability weisen Sie Grundkenntnisse in folgenden Bereichen nach: Überwachen virtueller Maschinen in der Compute Engine, Einsetzen von Cloud Monitoring für Verwaltung mehrerer Projekte, Erweitern von Monitoring- und Logging-Funktionen zur Nutzung in Cloud Functions, Erstellen und Senden von benutzerdefinierten Anwendungsmesswerten und Konfigurieren von Cloud Monitoring-Benachrichtigungen auf der Grundlage benutzerdefinierter Messwerte.
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Mit dem Skill-Logo DevOps-Workflows in Google Cloud implementieren weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Git-Repositories mit Cloud Source Repositories erstellen, Deployments in der Google Kubernetes Engine (GKE) starten, verwalten und skalieren sowie CI/CD-Pipelines zur Automatisierung von Container-Image-Builds und GKE-Deployments entwerfen. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, Ihr Wissen in einer interaktiven praxisnahen Geschäftssituation anzuwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs Google Cloud-Netzwerk entwickeln abschließen. Dabei wird anhand verschiedener Aufgaben behandelt, wie Sie Anwendungen bereitstellen und beobachten, darunter: IAM-Rollen prüfen, den Zugriff auf Projekte ermöglichen/entfernen, VPC-Netzwerke erstellen, Compute Engine-VMs bereitstellen und beobachten, SQL-Abfragen schreiben, VMs in der Compute Engine bereitstellen und beobachten sowie Anwendungen mithilfe von Kubernetes und mehreren Deploymentmodellen bereitstellen.
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Dieser Kurs für Einsteiger unterscheidet sich von anderen Kursangeboten. Die Labs sind so gewählt, dass sie IT-Profis praktische Kenntnisse zu Themen und Diensten vermitteln, die Bestandteil der Zertifizierungsprüfung zum Google Cloud Certified Associate Cloud Engineer sind. Die Labs des Kurses umfassen Themen wie IAM, Networking und Bereitstellung in der Kubernetes Engine, bei denen Sie Ihr Wissen über Google Cloud unter Beweis stellen können. Mithilfe der Übungen im Rahmen dieser Labs können Sie zwar Ihre Kenntnisse und Fähigkeiten erweitern, Sie sollten sich jedoch auch den Prüfungsleitfaden und andere verfügbare Vorbereitungsressourcen ansehen.
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Mit dem Skill-Logo Kubernetes-Anwendungen in Google Cloud bereitstellen weisen Sie Kenntnisse in folgenden Bereichen nach: Konfigurieren und Erstellen von Docker-Container-Images, Erstellen und Verwalten von Google Kubernetes Engine-Clustern, Verwenden von kubectl für eine effiziente Clusterverwaltung und Bereitstellen von Kubernetes-Anwendungen mit leistungsfähigen Continuous Delivery-Abläufen.
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Kubernetes ist das meistgenutzte System zur Orchestrierung von Containern. Die Google Kubernetes Engine wurde speziell für die Unterstützung verwalteter Kubernetes-Deployments in Google Cloud entwickelt. In diesem Kurs für Fortgeschrittene erfahren Sie, wie Sie Docker-Images und ‑Container konfigurieren und vollwertige Kubernetes Engine-Anwendungen bereitstellen. Sie erlernen die praktischen Fertigkeiten, die für die Einbindung der Containerorchestrierung in den eigenen Workflow erforderlich sind. Wenn Sie Ihre Fähigkeiten und Ihr Wissen unter Beweis stellen möchten, können Sie ein Challenge-Lab nach Abschluss des Kurses Kubernetes-Anwendungen in Google Cloud bereitstellen absolvieren, um ein exklusives digitales Google Cloud-Logo zu erhalten.
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Sichern Sie sich ein Skill-Logo, indem Sie den Kurs Geschütztes Google Cloud-Netzwerk erstellen abschließen. Dabei lernen Sie verschiedene netzwerkbezogene Ressourcen kennen, mit denen Sie Ihre Anwendungen in Google Cloud erstellen, skalieren und schützen können.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs „Umgebung für die Anwendungsentwicklung in Google Cloud einrichten“ abschließen. Dabei lernen Sie, wie Sie eine speicherorientierte Cloud-Infrastruktur mithilfe der grundlegenden Funktionen der folgenden Technologien erstellen und verbinden: Cloud Storage, Identity and Access Management, Cloud Functions und Pub/Sub.
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Wenn Sie als Einsteiger im Bereich Cloudentwicklung nach praktischen Übungen suchen, die über reine Google Cloud-Grundlagen hinausgehen, ist dieser Kurs genau das Richtige für Sie. Sie sammeln praktische Erfahrungen in Labs rund um Cloud Storage und andere wichtige Anwendungsdienste wie Cloud Monitoring und Cloud Functions. Dabei bauen Sie Ihre Fähigkeiten aus, um sie bei unterschiedlichen Google Cloud-Initiativen einsetzen zu können.
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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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Mit dem Skill-Logo Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: Schreiben von gcloud-Befehlen, Verwenden von Cloud Shell, Erstellen und Bereitstellen von virtuellen Maschinen in der Compute Engine und Konfigurieren von Netzwerk- und HTTP-Load-Balancern. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud vergeben wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer praxisnahen Geschäftssituation anwenden. Absolvieren Sie eine kursspezifische Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
Skills Boost Arcade Facilitator Program Cohort 2 2025
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Google Calendar
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Google Sheets
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Google Meet
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Google Docs
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Google Slides
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Google Drive
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Building Complex End to End Self-Service Experiences in Dialogflow CX
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Responsible AI for Digital Leaders with Google Cloud
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Machine Learning Operations (MLOps) mit Vertex AI: Modellbewertung
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Trust and Security with Google Cloud
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Verantwortungsbewusste Anwendung von KI: KI-Grundsätze in Google Cloud anwenden
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Innovating with Google Cloud Artificial Intelligence
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Scaling with Google Cloud Operations
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Modernize Infrastructure and Applications with Google Cloud
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Exploring Data Transformation with Google Cloud
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Digital Transformation with Google Cloud
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Level 2: Data Exploration and Integration
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Qwiklabs Trivia October 2023 Week 1
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Skills Boost Arcade Certification Zone May 2025
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ML-Lösungen mit Vertex AI erstellen und bereitstellen
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Erste Schritte mit Google Workspace-Tools
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Discover and Protect Sensitive Data Across Your Ecosystem
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Infrastruktur mit Terraform in Google Cloud erstellen
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Develop with Apps Script and AppSheet
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Rich-Dokumente mit Gemini Multimodal und Multimodal RAG untersuchen
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Google Cloud-Netzwerk einrichten
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Funktionen, Formeln und Diagramme in Google Sheets verwenden
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Build LookML Objects in Looker
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Generative KI mit der Gemini API in Vertex AI nutzen
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Automate Data Capture at Scale with Document AI
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Implement CI/CD Pipelines on Google Cloud
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Get Started with Looker
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Dienstkonten und IAM-Rollen für Google Cloud konfigurieren
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Analyze BigQuery Data in Connected Sheets
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Skills Boost Arcade Base Camp May 2025
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Mitigate Threats and Vulnerabilities with Security Command Center
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Erste Schritte mit Dataplex
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Create a Streaming Data Lake on Cloud Storage
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Streamanalyse in BigQuery
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Daten über die Console in Google Cloud speichern, verarbeiten und verwalten
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Daten über die Befehlszeile in Google Cloud speichern, verarbeiten und verwalten
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Secure BigLake Data
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Tag and Discover BigLake Data
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Praxisorientierte KI-Anwendungen mit Gemini und Imagen entwickeln
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Cloud Run Functions: 3 Ways
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Get Started with Eventarc
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Analyze Speech and Language with Google APIs
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Analyze Images with the Cloud Vision API
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Monitoring in Google Cloud
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Analyze Sentiment with Natural Language API
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Get Started with Sensitive Data Protection
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Monitor and Manage Google Cloud Resources
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App Building with AppSheet
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Monitor Environments with Google Cloud Managed Service for Prometheus
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Erste Schritte mit API Gateway
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Erste Schritte mit Pub/Sub
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Verwenden der Google Cloud Speech API
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Use APIs to Work with Cloud Storage
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Skills Boost Arcade Trivia May 2025 Week 2
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Skills Boost Arcade Trivia May 2025 Week 1
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Skills Boost Arcade Trivia May 2025 Week 4
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Arcade NetworSkills
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Einen sicheren Data Lake in Cloud Storage erstellen
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Level 1: Application Development and Security with GCP
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Level 3: The Arcade Quiz
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Skills Boost Arcade Trivia April 2025 Week 2
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Skills Boost Arcade Trivia April 2025 Week 1
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Skills Boost Arcade Certification Zone April 2025
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Level 2: Cloud Infrastructure & API Essentials
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Arcade TechCare
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Skills Boost Arcade Base Camp April 2025
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Cloud Speech API: 3 Möglichkeiten
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DEPRECATED Networking Fundamentals on Google Cloud
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Get Started with Cloud Storage
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App Engine: 3 Ways
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Google Cloud Compute: Grundlagen
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Skills Boost Arcade Facilitator Program 2025
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Sports Data Challenge
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Perform Predictive Data Analysis in BigQuery
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No Code November 2022 - Apps Scripts
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No code november 2022
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Halloween 2022 Challenge
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Diwali Game 3: Flowers and Flutter
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Diwali Game 2: Lanterns and Looker
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Diwali Game 1: Rangoli and Google Sheets
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Learn to Earn Cloud Challenge: Machine Learning Engineering Skills
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Intro to ML: Image Processing
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Daten für ML-APIs in Google Cloud vorbereiten
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[DEPRECATED] Secure Workloads in Google Kubernetes Engine
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Data Warehouse mit BigQuery erstellen
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Use Machine Learning APIs on Google Cloud
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Machine Learning APIs
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DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
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Cloud Healthcare API
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Cloud Logging
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Advanced ML: ML Infrastructure
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Intermediate ML: TensorFlow on Google Cloud
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Einführung in Machine Learning: Language Processing
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Referenz – Big Data, Machine Learning und KI
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Grundlegende Sicherheitsfunktionen in Google Cloud implementieren
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Grundlagen der Sicherheit und Identitätsverwaltung
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Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
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ML-Modelle mit BigQuery ML erstellen
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Informationen aus BigQuery-Daten ableiten
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NCAA® March Madness®: Bracketology with Google Cloud
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DEPRECATED Applied Data: Blockchain
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[DEPRECATED] Data Engineering
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DEPRECATED Google Cloud Solutions II: Data and Machine Learning
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Scientific Data Processing
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DEPRECATED BigQuery for Data Warehousing
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Cloud SQL
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DEPRECATED BigQuery for Marketing Analysts
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BigQuery für Machine Learning
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DEPRECATED BigQuery Basics for Data Analysts
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Serverlose Anwendungen in Cloud Run entwickeln
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Serverlose Apps mit Firebase entwickeln
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Build a Website on Google Cloud
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[DEPRECATED] Build Interactive Apps with Google Assistant
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Workspace: Add-ons
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Build Apps & Websites with Firebase
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Google Cloud Run Serverless Workshop
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DEPRECATED IoT in the Google Cloud
Earned Jul 1, 2022 EDT
DEPRECATED Exploring APIs
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Baseline: Deploy & Develop
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Website on Google Cloud
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Cloud Development
Earned Jun 30, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Jun 30, 2022 EDT
Google Developer Essentials
Earned Jun 30, 2022 EDT
Cloud-Architektur: Entwerfen, umsetzen und verwalten
Earned Jun 30, 2022 EDT
Monitoring und Logging mit Google Cloud Observability
Earned Jun 30, 2022 EDT
DevOps-Workflows in Google Cloud implementieren
Earned Jun 30, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned Jun 29, 2022 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Jun 29, 2022 EDT
DEPRECATED Cloud Architecture
Earned Jun 29, 2022 EDT
Understand Your Google Cloud Costs
Earned Jun 29, 2022 EDT
DevOps Essentials
Earned Jun 29, 2022 EDT
Google Cloud-Netzwerk entwickeln
Earned Jun 28, 2022 EDT
Cloud-Entwicklung
Earned Jun 28, 2022 EDT
Kubernetes-Anwendungen in Google Cloud bereitstellen
Earned Jun 28, 2022 EDT
Kubernetes in Google Cloud
Earned Jun 27, 2022 EDT
Geschütztes Google Cloud-Netzwerk erstellen
Earned Jun 27, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Jun 27, 2022 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Mai 17, 2022 EDT
Referenz – Infrastruktur
Earned Mai 17, 2022 EDT
Google Cloud Essentials
Earned Mai 9, 2022 EDT
Load Balancing in der Compute Engine implementieren
Earned Mai 8, 2022 EDT