On-Demand-Aktivitäten

Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.

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1187 Ergebnisse
  1. Kurs Tipp

    Building No-Code Apps with AppSheet: Automation

    This course helps you recognize the need to implement business process automation in your organization. You learn about automation patterns and use cases, and how to use AppSheet constructs to implement automation in your app. You learn about the various features of AppSheet automation, and integrate your app with…

  2. Kurs Tipp

    Preparing for Your Professional Cloud Security Engineer Journey

    This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that …

  3. Kurs Tipp

    Preparing for Your Associate Cloud Engineer Journey

    This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.

  4. Kurs Tipp

    Building Resilient Streaming Analytics Systems on Google Cloud

    Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggreg…

  5. Kurs Tipp

    Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

  6. Kurs Tipp

    Securing and Integrating Components of your Application

    In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity m…

  7. Kurs Tipp

    Getting Started With Application Development

    In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the app…

  8. Kurs Tipp

    Applying Machine Learning to your Data with Google Cloud

    In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learnin…

  9. Kurs Tipp

    Achieving Advanced Insights with BigQuery

    The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded stor…

  10. Kurs Tipp

    Role Based Learning Path: Citizen Developer

    Good news! There’s a new updated version of this learning path available for you!Open the new Citizen Developer path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.