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Ihre Kompetenzen in der Google Cloud Console anwenden

Madhumanti Das

Mitglied seit 2022

Silver League

26300 Punkte
Einführung in Large Language Models Earned Aug 16, 2023 EDT
Einführung in generative KI Earned Aug 16, 2023 EDT
Sprache und Text mit Google APIs analysieren Earned Jun 14, 2023 EDT
Level 1: Data with Google Cloud Earned Jun 14, 2023 EDT
Erste Schritte mit Dataplex Earned Jun 14, 2023 EDT
Erste Schritte mit Looker Earned Jun 10, 2023 EDT
Datenerfassung mit Document AI automatisieren Earned Mai 11, 2023 EDT
DevOps-Workflows in Google Cloud implementieren Earned Mai 7, 2023 EDT
Kubernetes-Anwendungen in Google Cloud bereitstellen Earned Mai 6, 2023 EDT
Qwiklabs Trivia April 2023 Earned Mai 6, 2023 EDT
Daten für Looker-Dashboards und ‑Berichte vorbereiten Earned Apr 25, 2023 EDT
Level 2: Data Exploration with Looker, BigQuery and Sheets Earned Apr 25, 2023 EDT
Funktionen, Formeln und Diagramme in Google Sheets verwenden Earned Apr 21, 2023 EDT
BigQuery-Daten in verbundenen Tabellenblättern analysieren Earned Apr 20, 2023 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten Earned Apr 14, 2023 EDT
Monitoring und Verwaltung von Ressourcen in Google Cloud Earned Apr 14, 2023 EDT
Level 1: Managing Resources and Data in the Cloud Earned Apr 14, 2023 EDT
Daten über die Befehlszeile in Google Cloud speichern, verarbeiten und verwalten Earned Apr 12, 2023 EDT
Daten über die Console in Google Cloud speichern, verarbeiten und verwalten Earned Apr 12, 2023 EDT
ML API Skills Earned Apr 1, 2023 EDT
Cloud Hero DevOps Skills Earned Apr 1, 2023 EDT
Cloud Hero BigQuery Skills Earned Apr 1, 2023 EDT
Cloud Hero Infra Skills Earned Mär 31, 2023 EDT
Qwiklabs Trivia March 2023 Earned Mär 29, 2023 EDT
Terraform Init: An infrastructure challenge Earned Mär 28, 2023 EDT
Data Without the Degree [Arcade] Earned Mär 19, 2023 EDT
MongoDB Atlas on Google Cloud Earned Mär 10, 2023 EST
Beep Bop Boop: A chatbot challenge [Arcade] Earned Mär 6, 2023 EST
Certification Replay [Arcade] Earned Feb 23, 2023 EST
Better Together: A Google Cloud Partners Challenge Earned Feb 15, 2023 EST
Retail Tech Earned Feb 4, 2023 EST
New Year, New Skills: Blue Challenge (A) Earned Jan 25, 2023 EST
New Year, New Skills: Red Challenge (A) Earned Jan 17, 2023 EST
APIs für Machine Learning in Google Cloud verwenden Earned Jul 9, 2022 EDT
Website in Google Cloud erstellen Earned Jul 5, 2022 EDT
Website on Google Cloud Earned Jul 5, 2022 EDT
Data Warehouse mit BigQuery erstellen Earned Jun 30, 2022 EDT
Scientific Data Processing Earned Jun 30, 2022 EDT
DEPRECATED BigQuery for Data Warehousing Earned Jun 30, 2022 EDT
Cloud SQL Earned Jun 26, 2022 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning Earned Jun 26, 2022 EDT
DEPRECATED Applied Data: Blockchain Earned Mai 24, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts Earned Mai 17, 2022 EDT
ML-Modelle mit BigQuery ML erstellen Earned Mai 10, 2022 EDT
Informationen aus BigQuery-Daten ableiten Earned Mai 9, 2022 EDT
BigQuery für Machine Learning Earned Mai 8, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud Earned Mai 8, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned Mai 6, 2022 EDT

In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das Entwickeln eigener Anwendungen basierend auf generativer KI ermöglichen.

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In diesem Einführungskurs im Microlearning-Format wird erklärt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkömmlichen Methoden für Machine Learning unterscheidet. Darüber hinaus werden Tools von Google behandelt, mit denen Sie eigene Anwendungen basierend auf generativer KI entwickeln können.

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Sichern Sie sich ein Skill-Logo, indem Sie die Aufgabenreihe Sprache und Text mit Google APIs analysieren abschließen, in der Sie lernen, wie Sie die Natural Language API und die Speech API in praxisnahen Umgebungen einsetzen.

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The demand for data skills is growing rapidly, and we want you to get some of that sweet knowledge! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. Data can be used to identify trends, patterns, and insights that can help businesses improve their operations, products, and services - which makes data career paths highly valuable. There are a lot of different aspects to data science, so it's important to start with the basics - and we’ve got you covered. Kickstart your data skills discovery and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.

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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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Sichern Sie sich ein Skill-Logo, indem Sie die Aufgabenreihe Erste Schritte mit Looker abschließen. Dabei lernen Sie, wie Sie Daten mit Looker Studio und Looker analysieren, visualisieren und kuratieren.

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Mit dem Skill-Logo zum Kurs Datenerfassung mit Document AI automatisieren weisen Sie Grundkenntnisse nach. In diesem Kurs lernen Sie, wie Sie mit Document AI Daten extrahieren, verarbeiten und erheben.

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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.

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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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Welcome to Qwiklabs Trivia for April! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the April badge.

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MMit dem Skill-Logo zum Kurs Daten für Looker-Dashboards und ‑Berichte vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Filtern, Sortieren und Pivotieren von Daten, Zusammenführen der Ergebnisse von verschiedenen Looker-Explores sowie Verwenden von Funktionen und Operatoren zum Erstellen von Looker-Dashboards und ‑Berichten für Analyse und Visualisierung von Daten.

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Description: According to IDC, by 2026, 7 PB of data will be generated per second globally. But what you *do* with the data is what matters. Data is the heart of digital transformation and offers incredible opportunities for organizations to accelerate the most strategic business outcomes, like revenue and productivity. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.

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Absolvieren Sie den Skill-Logo-Kurs Funktionen, Formeln und Diagramme in Google Sheets verwenden, um Ihre Kenntnisse in den folgenden Bereichen nachzuweisen: Daten mithilfe von Funktionen analysieren, Daten mit Diagrammen visualisieren sowie validieren, formatieren und aufrufen.

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Mit dem Skill-Logo „BigQuery-Daten in verbundenen Tabellenblättern analysieren“ weisen Sie nach, dass Sie mit verbundenen Tabellenblättern Milliarden von Zeilen mit BigQuery-Daten aus Google Sheets-Tabellen aufrufen, analysieren, visualisieren und freigeben können.

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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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Mit dem Skill-Logo zum Kurs Monitoring und Verwaltung von Ressourcen in Google Cloud weisen Sie Grundkenntnisse in folgenden Bereichen nach: IAM-Berechtigungen erteilen und widerrufen, Monitoring- und Logging-Agents installieren, eine ereignisgesteuerte Cloud Run-Funktion erstellen, bereitstellen und testen.

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More than 90% of IT leaders say they're looking to grow their cloud environments in the next several years, yet more than 80% of those same leaders identified a lack of skills as a barrier to growth. This means that tech skills (particularly cloud skills!) are in high demand. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential. No experience required.

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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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Welcome Gamers! Explore the power of machine learning by using multiple machine learning APIs together, all while having fun! Translate the text with the Translation API and analyze it with the Natural Language API. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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Welcome Gamers! Learn to navigate that iterative journey efficiently and effectively using Google Cloud's operations tools!, all while having fun! Deploy a Kubernetes cluster along with a service using Terraform. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Earn points by completing the labs accurately and receive bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.

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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.

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Welcome to Qwiklabs Trivia for March! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the March badge.

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Ready to start building your world - er - cloud infrastructure? With Terraform, you can manage infrastructure as code, saving time and ensuring consistency. In today’s game, you’ll use Terraform to build, change, provision, and destroy infrastructure in increasingly complex scenarios, and add a few new skills to your toolkit. Terraform init!

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Data science is one of the most in-demand fields in the job market today. And for good reason:- data scientists use their skills to extract valuable insights from large data sets, used to make better decisions in a variety of industries. But what if you don't have a degree in data science? No degree, no problem. Play now to learn deep data skills with hands-on labs, from ramping up on tools like Google Sheets, to advanced data tasks with TensorFlow and Vertex AI.

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Discover the ease of an integrated multi-cloud database with data services that simplify database deployment and management. Get practical experience using MongoDB Atlas on Google Cloud and unlock the power of a flexible document data model that makes data easier to work with in a global, scalable, fully-managed, and elastic service. Level up and show off your skills during the MongoDB x Google Cloud Skills Boost Virtual Game Day. This is an interactive, challenge-based game that kicks off on March 8 and will be available through March 10. Come for the practical hands-on experience using MongoDB Atlas on Google Cloud and potentially win some prizes (cool swag kits and more!)*.

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Chatbots are becoming increasingly popular, and for good reason. They can provide a number of benefits to both businesses and consumers, from automating customer service, to collecting feedback and providing a more convenient way to get the information you need. They can also be used to save time and money by automating tasks like scheduling appointments or ordering products. Interested in exploring how chatbots can make your job (or future job) easier? Or just want a peek behind the chatbot tech curtain? This is the game for you!

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Is getting Google Cloud Certified on your 2023 to-do list? Pick up a few new data engineer and cloud developer skills, part of each respective learning path. You'll work with TensorFlow, Kubernetes, and more. Then put your new skills to the test to finish out the game! Don't forget to claim your skill badge progress when you're done.

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Entering the world of cloud computing? You don't have to go alone. Google Cloud partners can help you skip the guesswork and get the most value out of Google Cloud. In today's game, you'll learn how to work with tools and tech from partners like Cisco, Redis, Apache, NetApp, Striim, and Datadog.

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Technology has transformed the retail industry, and the transformation is not stopping. Want to see how to take advantage of the latest tech in your business? (Or job, or future job?) Play now and explore how Google Cloud helps retailers build better - better data, better apps, and better businesses. You'll get hands-on experience with BigQuery ML, Looker, Terraform, and concepts like site reliability. Earn the badge and you'll add one more Arcade point to your collection. Good luck!

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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.

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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.

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Sichern Sie sich das Skill-Logo für Fortgeschrittene, indem Sie den Kurs APIs für Machine Learning in Google Cloud verwenden abschließen – hier lernen Sie die grundlegenden Funktionen der folgenden Machine-Learning- und KI-Technologien kennen: Cloud Vision API, Cloud Translation API und Cloud Natural Language API.

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Mit dem Skill-Logo zum Kurs Website in Google Cloud erstellen weisen Sie Grundkenntnisse nach. Dieser Kurs basiert auf der Videoreihe Get Cooking in Cloud und behandelt folgende Themen:Website in Cloud Run bereitstellenWebanwendung in Compute Engine hostenWebsite in der Google Kubernetes Engine erstellen, bereitstellen und skalierenVon einer monolithischen Anwendung zu einer Microservices-Architektur mit Cloud Build migrieren

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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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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.

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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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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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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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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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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.

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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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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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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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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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