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.

FILTERN NACH:
Alle löschen
  • Badge
  • Formate
  • Sprachen

1187 Ergebnisse
  1. Kurs Tipp

    Infrastructure and Application Modernization with Google Cloud

    Many traditional enterprises use legacy systems and applications that often struggle to achieve the scale and speed needed to meet modern customer expectations. Business leaders and IT decision makers constantly have to choose between maintenance of legacy systems and investing in innovative new products and servi…

  2. Kurs Tipp

    Google Cloud Compute and Scalability for Azure Professionals

    This is the second course of a four-course series for cloud architects and engineers with existing Azure knowledge. It aims to compare Google Cloud and Azure solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the know…

  3. Kurs Tipp

    Google Cloud Compute and Scalability for AWS Professionals

    This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowled…

  4. Kurs Tipp

    Developing Containerized Applications on Google Cloud

    In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

  5. Kurs Tipp

    Building Applications with Eventarc on Google Cloud

    This course teaches you how to build and secure event-driven applications by using Eventarc. Using lectures and hands-on labs, you create Eventarc triggers to route events from Google Cloud services to event receivers that act on the events. You learn about the standard CloudEvents format that is used by Eventarc,…

  6. Kurs Tipp

    Design Foundations for Streaming with Google Cloud

    This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

  7. Kurs Tipp

    Logging and Monitoring in Google Cloud

    This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis,…

  8. Kurs Tipp

    Google Cloud Computing Foundations: Cloud Computing Fundamentals

    The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners w…

  9. Kurs Tipp

    Serving Multimedia Content with Google Cloud

    This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

  10. Kurs Tipp

    Attention Mechanism

    This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, t…