Join Sign in

Sujai Shukla

Member since 2026

Diamond League

12883 points
Google Cloud 資料分析功能簡介 Earned Apr 6, 2026 EDT
運用 Gemini Code Assist 簡化應用程式開發作業 Earned Mar 31, 2026 EDT
Arcade March 2026 Sprint 2 Earned Mar 30, 2026 EDT
Arcade March 2026 Sprint 1 Earned Mar 26, 2026 EDT
Work Meets Play: Metrics in Motion Earned Mar 26, 2026 EDT
生成式 AI 適用的機器學習運作 (MLOps) Earned Mar 25, 2026 EDT
Exploring Data Transformation with Google Cloud Earned Mar 25, 2026 EDT
Digital Transformation with Google Cloud Earned Mar 24, 2026 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned Mar 18, 2026 EDT
機器學習運作 (MLOps) 與 Vertex AI:模型評估 Earned Mar 18, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned Mar 15, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent Earned Mar 15, 2026 EDT
管理 AI 代理的記憶與狀態 Earned Mar 15, 2026 EDT
運用工具讓 AI 代理具備所要能力 Earned Mar 15, 2026 EDT
AI 代理行為最佳化調整 Earned Mar 15, 2026 EDT
使用 Agent Development Kit (ADK) 打造您的第一個 AI 代理 Earned Mar 15, 2026 EDT
使用 Agent Development Kit (ADK) 打造 AI 代理 Earned Mar 15, 2026 EDT
生成式 AI 代理:實現組織轉型 Earned Mar 15, 2026 EDT
生成式 AI 應用程式:徹底改變工作方式 Earned Mar 15, 2026 EDT
生成式 AI:掌握幕後技術與環境 Earned Mar 15, 2026 EDT
生成式 AI:瞭解基礎概念 Earned Mar 15, 2026 EDT
生成式 AI:不只是聊天機器人 Earned Mar 15, 2026 EDT
Preparing for your Professional Data Engineer Journey Earned Mar 12, 2026 EDT
大型語言模型簡介 Earned Mar 12, 2026 EDT
圖像生成簡介 Earned Mar 12, 2026 EDT
負責任的 AI 技術簡介 Earned Mar 12, 2026 EDT
生成式 AI 簡介 Earned Mar 11, 2026 EDT

這是 Google Cloud 資料分析專業證書五堂課程中的第一堂。在本課程中,您將瞭解雲端資料分析領域的定義,並說明雲端資料分析師在資料擷取、儲存、處理和視覺化方面的角色與職責。您將瞭解 BigQuery 和 Cloud Storage 等 Google Cloud 工具的架構,以及如何運用這些工具有效組織、呈現及彙整資料。

Learn more

本課程適合各程度的開發人員,主要介紹 Gemini Code Assist 的核心功能與特色。這項 Google Cloud AI 輔助協作工具是應用程式開發的好幫手,提供程式碼智慧建議、自動補全、即時偵錯和重構輔助等實用功能。您將瞭解 Gemini Code Assist 如何大幅提升工作效率和程式碼品質,並助您省下寶貴時間,專心處理較具效益且更有趣的工作。

Learn more

This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

Learn more

This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

Learn more

Great data experiences don’t happen by accident — they’re modeled, optimized, and scaled with intent. In this challenge, you’ll build a strong foundation with Looker by creating modeled queries, defining measures and dimensions, modularizing LookML with extends, and refining logic using functions and operators. You’ll filter Explores, merge results, and sort insights to uncover what truly matters. You’ll also enhance performance with caching and explore distributed processing with Dataproc. These are the same capabilities that Zoomcar used on Google Cloud to modernize its data stack — and now, you get to build them too!

Learn more

本課程旨在提供必要的知識和工具,協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰,並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序,打造成效非凡的生成式 AI 專案。

Learn more

Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

Learn more

There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

Learn more

In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.

Learn more

本課程針對評估生成式和預測式 AI 模型,向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域,確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。 學員將深入瞭解多種評估指標與方法,以及適用於不同模型類型和工作的應用方式。此外,也會特別介紹生成式 AI 模型帶來的獨特難題,並提供有效的應對策略。透過 Google Cloud Vertex AI 平台,學員將瞭解在模型挑選、最佳化和持續監控方面,該如何導入穩健的評估程序。

Learn more

This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

Learn more

This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

Learn more

您已建構能回覆查詢的基本 LLM 代理,是時候讓代理有狀態。利用工作階段狀態建構能維持對話脈絡、記住使用者偏好,並提供個人化體驗的代理。將代理從無狀態的回覆者轉為智慧助理。

Learn more

您已建立具有進階設定功能的代理,可開始賦予代理實際應用能力。為代理配備工具,使代理能搜尋網路、執行程式碼、查詢資料庫和執行自訂動作。將代理從聰明的回覆者,轉變為能採取行動的得力助手。

Learn more

您已經成功打造第一個代理,是時候迎接更進階的挑戰。在本課程中,您將學習如何應用進階指令、選擇模型、建立規劃能力及結構化輸出模式,藉此將基本 AI 代理轉為高明又精確的助理,讓您的技能更上一層樓。加入社群論壇,提出問題並參與討論

Learn more

使用 Agent Development Kit (ADK) 建構、設定及執行您的第一個 AI 代理,將自身代理知識化為實際成果。 在這堂實作課程,您會設立完整的 ADK 開發環境,並使用 Python 程式碼和 YAML 設定打造代理,然後透過多個介面執行。您也會瞭解定義代理行為的核心參數,將課程 1 的學習成果轉化為實際運作的程式碼。

Learn more

瞭解如何使用 Agent Development Kit (ADK),建構複雜的 AI 代理並用於正式環境。本課程介紹 ADK 的開放原始碼框架,包括簡單的提示工程,以及程式碼優先的結構化軟體開發做法 (適用於企業級多代理系統)。

Learn more

「生成式 AI 代理:實現組織轉型」是 Gen AI Leader 學習路徑的第五堂也是最後一堂課程。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,同時探索這類代理的各種元件,例如模型、推論迴圈和工具。

Learn more

「生成式 AI 應用程式:徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。

Learn more

「生成式 AI:掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。

Learn more

「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。

Learn more

「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。

Learn more

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.

Learn more

這是一堂入門級的微學習課程,旨在探討大型語言模型 (LLM) 的定義和用途,並說明如何調整提示來提高 LLM 成效。此外,也會介紹多項 Google 工具,協助您自行開發生成式 AI 應用程式。

Learn more

本課程將介紹擴散模型,這是一種機器學習模型,近期在圖像生成領域展現亮眼潛力。概念源自物理學,尤其深受熱力學影響。過去幾年來,在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中,擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論,並說明如何在 Vertex AI 上訓練和部署這些模型。

Learn more

這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性,以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。

Learn more

這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。

Learn more