On-demand activities

Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.

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  1. Cours Sélection

    API Development on Google Cloud's Apigee API Platform

    In this course, you learn how to create APIs that utilize multiple services and how you can use custom code on Apigee. You will also learn about fault handling, and how to share logic between proxies. You learn about traffic management and caching. You also create a developer portal, and publish your API to the po…

  2. Cours Sélection

    Preparing for your Professional Data Engineer Journey

    This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

  3. Cours Sélection

    Natural Language Processing on Google Cloud

    This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

  4. Cours Sélection

    Introduction to Google Workspace Administration

    Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses. This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organizat…

  5. Cours Sélection

    Managing Google Workspace

    Managing Google Workspace is the second course in the Google Workspace Administration series. This course focuses on the Google Workspace core services such as Gmail, Calendar, and Drive & Docs. You will become familiar with the various service settings, and learn how to enable them for all or just a subset o…

  6. Cours Sélection

    Google Workspace Security

    Google Workspace Security is the third course in the Google Workspace Administration series. In this course you will focus on the various aspects of Google Workspace Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application…

  7. Cours Sélection

    Google Workspace Mail Management

    Google Workspace Mail Management is the fourth course in the Google Workspace Administration series. In this course you will learn how to protect your organization against spam, spoofing, phishing and malware attacks. You will configure email compliance and learn how to implement data loss prevention (DLP) for yo…

  8. Cours Sélection

    Serverless Data Processing with Dataflow: Foundations

    This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability fram…

  9. Cours Sélection

    Serverless Data Processing with Dataflow: Develop Pipelines

    In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in yo…

  10. Cours Sélection

    Serverless Data Processing with Dataflow: Operations

    In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We…