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Devansh Singh
成为会员时间：2023
黄金联赛
19560 积分
生成式 AI 代理：實現組織轉型
Earned Jun 13, 2025 EDT
Gen AI Apps: Transform Your Work
Earned Jun 13, 2025 EDT
Gen AI: Navigate the Landscape
Earned Jun 13, 2025 EDT
生成式 AI：瞭解基礎概念
Earned Jun 12, 2025 EDT
生成式 AI：不只是聊天機器人
Earned May 31, 2025 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jan 6, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Jan 6, 2025 EST
Serverless Data Processing with Dataflow: Foundations
Earned Jan 3, 2025 EST
透過 BigQuery 建構資料倉儲
Earned Dec 31, 2024 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Dec 31, 2024 EST
Google Cloud 中的資料工程簡介
Earned Dec 19, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Dec 13, 2024 EST
「生成式 AI 代理：實現組織轉型」是 Generative AI Leader 學習路徑的第五門課,也是最後一門。本課程將探討組織如何運用自訂生成式 AI 代理,解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理,同時熟悉這類代理的各種元件,例如模型、推論迴圈和工具。
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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「生成式 AI: 瞭解基礎概念」是 Generative AI Leader 學習路徑的第二門課程。在本課程中,您將瞭解 AI、機器學習和生成式 AI 的差異,以及各種資料類型如何協助生成式 AI 解決業務難題,進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 應對基礎
模型限制的策略,以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。
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「生成式 AI：不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。
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完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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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 framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 「技能徽章」是 Google Cloud 核發的獨家數位徽章，用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成本技能徽章課程及結業評量挑戰研究室， 即可取得技能徽章並與他人分享。
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在本課程中，您會學到 Google Cloud 上的資料工程、資料工程師的角色與職責，以及這些內容如何對應至 Google Cloud 提供的服務。您也將瞭解處理資料工程難題的許多方法。
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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.
生成式 AI 代理：實現組織轉型
Earned Jun 13, 2025 EDT
Gen AI Apps: Transform Your Work
Earned Jun 13, 2025 EDT
Gen AI: Navigate the Landscape
Earned Jun 13, 2025 EDT
生成式 AI：瞭解基礎概念
Earned Jun 12, 2025 EDT
生成式 AI：不只是聊天機器人
Earned May 31, 2025 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jan 6, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Jan 6, 2025 EST
Serverless Data Processing with Dataflow: Foundations
Earned Jan 3, 2025 EST
透過 BigQuery 建構資料倉儲
Earned Dec 31, 2024 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Dec 31, 2024 EST
Google Cloud 中的資料工程簡介
Earned Dec 19, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Dec 13, 2024 EST