按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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1209 条结果
  1. 实验 精选

    Monitor Cloud Run with Datadog

    In this lab, you will learn how to use Cloud Run with Datadog.

  2. 实验 精选

    通过 Vertex AI 使用生成式 AI:提示设计

    本实验是一系列实验的一部分,旨在围绕 Google Cloud 上的生成式 AI 提供实操体验。

  3. 实验 精选

    使用 Cloud Dataprep 创建数据转换流水线

    Cloud Dataprep by Alteryx 是一项智能数据服务,可以让您直观地探索、清理和准备结构化数据和非结构化数据,以进行分析。在本实验中,您将探索如何利用 Dataprep 界面 (UI) 构建数据转换流水线。

  4. 实验 精选

    Creating Tile-based Dashboard Alerts in Looker

    In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.

  5. 实验 精选

    Respond and recover from a data breach

    Remediate a list of security issues based on a PCI compliance report

  6. 实验 精选

    Build and Configure an Integration using Application Integration

    Learn the core concepts, functionalities, and best practices of Application Integration

  7. 实验 精选

    Detect and Investigate Threats with Security Command Center

    In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…

  8. 实验 精选

    Programming Spanner Applications with Python

    In this lab, you run the Python code to create Spanner instances and databases. You also see how to create, retrieve, and delete records from databases using both the Google Standard SQL and PostgreSQL dialects.

  9. 实验 精选

    Create Text Embeddings for a Vector Store using LangChain

    In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.

  10. 实验 精选

    Build an LLM and RAG-based Chat Application with AlloyDB and Vertex AI

    In this lab, you create a chat application that uses Retrieval Augmented Generation, or RAG, to augment prompts with data retrieved from AlloyDB.