José Carlos Díaz
Member since 2026
Diamond League
5502 points
Member since 2026
AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
這個簡短的課程會說明如何在 Google Cloud 整合應用程式與 Gemini,讓您瞭解 Gemini API 及 Gemini 生成式 AI 模型,並學習如何透過程式碼存取 Gemini 模型。另外,您會在應用程式中使用文字、圖片和影片提示,測試模型的功能。
In this video, you'll learn to build a reusable, custom "Study Guide Gem." You'll see how to write the core instructions for your Gem once, and then use it again and again to transform messy notes and articles into a perfectly structured study guide with a summary, outline, and glossary.
In this video, you'll learn to use Gemini as your personal data analyst. Master the art of turning screenshot "spaghetti" charts into clear strategic insights by asking plain-English questions about the patterns you see.
AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.
「Google Cloud 基礎知識:核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室,介紹並比較 Google Cloud 的多種運算和儲存服務,同時提供重要的資源和政策管理工具。
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
In this video, you'll learn to use NotebookLM as your personal AI study partner. Master the art of converting dense documentation into smart study guides, flashcards, and quizzes to ramp up quickly on new policies and industry research.
This video covers how to use the "Share" feature in Gemini to distribute custom Gems to teammates, managing permissions and file access to scale expertise across your organization.
完成「使用 Agent Development Kit (ADK) 建造 AI 代理:工程設計」技能徽章中階課程,即可證明您具備下列技能: 提出實際的語言模型研究問題、建構簡單的權杖化工具、準備資料集來訓練 Transformer 語言模型,以及執行小型語言模型的訓練迴圈。
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。
This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.
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。
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
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。
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)。
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.
This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
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。
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。