本課程介紹 Google Cloud 中的人工智慧 (AI) 和機器學習 (ML) 服務。這些服務透過 AI 基礎、開發和解決方案，支援「從資料到 AI」的生命週期。本課程討論的技術、產品和工具，可根據數據資料學家、AI 開發人員和機器學習工程師等不同使用者的目標，用於建構機器學習模型、機器學習管道和生成式 AI 專案。
Introduction to AI and Machine Learning on GC - 繁體中文
Introduction to AI and Machine Learning on GC - 繁體中文
Taught in Chinese (Traditional)
Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
識別 Google Cloud 提供的「從資料到 AI」技術和工具。
在應用程式中使用生成式 AI 功能。
選擇合適的選項，在 Google Cloud 中開發 AI 專案。
使用 Vertex AI 由始至終建構機器學習模型。
Details to know
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There are 6 modules in this course
本單元的內容為課程目標之一，會協助學員瞭解各項 Google Cloud AI 開發工具，並從中挑選出最合適的選項。本課程的架構是以 Google Cloud 的三層式 AI 架構為基礎，單元中也會簡要介紹課程架構。
What's included
1 video
本單元著重介紹 AI 基礎，包括運算和儲存空間等雲端基礎架構，並說明 Google Cloud 中主要的資料和 AI 開發產品，最後示範如何運用 BigQuery ML 建構機器學習模型，協助您從資料轉移至 AI。
What's included
10 videos1 reading1 quiz1 app item
本單元介紹在 Google Cloud 中開發機器學習專案的多種選項，包括現成解決方案 (如預先訓練的 API)、無需程式碼或僅需少量程式碼的解決方案 (如 AutoML)，以及以程式碼為基礎的解決方案 (例如自訂訓練)。本單元也比較這些選項的優缺點，協助您選擇最合適的開發工具。
What's included
8 videos1 reading1 quiz1 app item
本單元逐步介紹機器學習的工作流程，內容涵蓋資料準備、模型開發以及透過 Vertex AI 提供模型。本單元也說明如何運用 Vertex AI Pipelines 將工作流程轉換為自動化管線。
What's included
9 videos1 reading1 quiz1 app item
本單元介紹生成式 AI、AI 最新進展，以及背後的技術：大型語言模型 (LLM)，並說明 Google Cloud 中的各種生成式 AI 開發工具 (例如 Generative AI Studio 和 Model Garden)，最後探討 AI 解決方案和嵌入式的生成式 AI 功能。
What's included
8 videos1 reading1 quiz1 app item
本單元介紹最重要的概念、工具、技術和產品，概略說明整個課程內容。
What's included
1 video1 reading
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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