Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
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RAHUL SINGH
Member since 2025
Diamond League
5552 points
Gemini Enterprise 簡介
Earned Apr 5, 2026 EDT
瞭解 Google Cloud 代理
Earned Apr 5, 2026 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Mar 26, 2026 EDT
運用 BigQuery ML 建立機器學習模型
Earned Mar 23, 2026 EDT
Google DeepMind: Train A Small Language Model
Earned Mar 23, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned Mar 23, 2026 EDT
透過 Gemini in BigQuery 提升工作效率
Earned Mar 20, 2026 EDT
在 BigQuery 使用 Gemini 模型
Earned Mar 20, 2026 EDT
How to Use TPUs for Inference
Earned Mar 20, 2026 EDT
使用 Agent Development Kit (ADK) 建造 AI 代理：工程設計
Earned Mar 19, 2026 EDT
使用 Gemini：應用程式開發人員
Earned Mar 16, 2026 EDT
透過 BigQuery 機器學習執行推論作業
Earned Dec 29, 2025 EST
使用 Gemini：數據資料學家和分析師
Earned Dec 25, 2025 EST
注意力機制
Earned Dec 13, 2025 EST
圖像生成簡介
Earned Dec 13, 2025 EST
Supervised Fine-tuning for Gemini
Earned Dec 13, 2025 EST
本課程介紹 Gemini Enterprise，這個強大的平台結合 AI 代理、企業搜尋工具、NotebookLM 和智慧資料存取功能，可協助組織解決難題。學員將能透過實際案例和練習，瞭解 Gemini Enterprise 功能如何滿足實際業務需求、描述平台架構，並說明如何根據不同職務處理資料存取與隱私權事宜。
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本課程提供 Google Cloud 代理平台的完整說明，包括 Vertex AI Agent Builder、Gemini Enterprise、Conversational Agents，以及 Agent Development Kit。學員將瞭解每項產品的獨特功能，區分各特定用途適用的最佳解決方案，並掌握建立搜尋和即時通訊應用程式的基礎知識。
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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。
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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Complete the advanced Google DeepMind: Train A Small Language Model skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!
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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.
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本課程會說明 Gemini in BigQuery，這是一套由 AI 輔助的功能，可協助「從資料到 AI」的工作流程。這些功能包含資料探索和準備、程式碼生成和疑難排解，以及工作流程探索和視覺化。本課程將透過概念解說、應用實例和實作實驗室，協助資料從業人員提升工作效率，並加速開發 pipeline。
This course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges.
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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。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助開發人員透過 Google Cloud 建構應用程式。您將瞭解如何透過提示讓 Gemini 為您解釋程式碼內容、推薦 Google Cloud 服務，以及生成應用程式的程式碼。在實作研究室中，您也會體驗到 Gemini 如何改良應用程式的開發工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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。
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With this course you will learn how to use different techniques to fine-tune Gemini. Model tuning is an effective way to customize large models like Gemini for your specific tasks. It's a key step to improve the model's quality and efficiency.
This course will give an overview of model tuning, describe the tuning options available for Gemini, help you determine when each tuning option should be used and how to perform tuning.
Gemini Enterprise 簡介
Earned Apr 5, 2026 EDT
瞭解 Google Cloud 代理
Earned Apr 5, 2026 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Mar 26, 2026 EDT
運用 BigQuery ML 建立機器學習模型
Earned Mar 23, 2026 EDT
Google DeepMind: Train A Small Language Model
Earned Mar 23, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned Mar 23, 2026 EDT
透過 Gemini in BigQuery 提升工作效率
Earned Mar 20, 2026 EDT
在 BigQuery 使用 Gemini 模型
Earned Mar 20, 2026 EDT
How to Use TPUs for Inference
Earned Mar 20, 2026 EDT
使用 Agent Development Kit (ADK) 建造 AI 代理：工程設計
Earned Mar 19, 2026 EDT
使用 Gemini：應用程式開發人員
Earned Mar 16, 2026 EDT
透過 BigQuery 機器學習執行推論作業
Earned Dec 29, 2025 EST
使用 Gemini：數據資料學家和分析師
Earned Dec 25, 2025 EST
注意力機制
Earned Dec 13, 2025 EST
圖像生成簡介
Earned Dec 13, 2025 EST
Supervised Fine-tuning for Gemini
Earned Dec 13, 2025 EST