Level 3 GenAI: Prompt Engineering
Earned Oct 19, 2023 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Oct 18, 2023 EDT
保護 Lakehouse 資料
Earned Jul 31, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 31, 2023 EDT
在 Google App Engine 上部署及管理應用程式
Earned Jul 27, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 27, 2023 EDT
生成式 AI 簡介
Earned Jul 9, 2023 EDT
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。
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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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"The future of innovation and problem-solving is now powered by generative AI, and GenAI is powered by prompts from humans like you. Whether you're an aspiring developer or a cloud enthusiast, Level3 - Gen AI will give you a deeper understanding of the best practices to get what you want and need through prompt engineering. Game on to get hands-on experience with Google Cloud's powerful Gen AI tools and techniques, and a chance to earn a Google Cloud Credential in this powerful and popular new field."
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第一門課會概略說明雲端運算、Google Cloud 的使用方式，以及不同的運算選項。
The demand for data skills is growing rapidly, and we want you to get ahead! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. There are a lot of different aspects to any data role, so it's important to start with the basics - and we’ve got you covered. Learn how to tap into ML APIs, dive into your first data lake, and learn how the experts think about securing data. No experience required.
Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow by 22% over the next five years, much faster than the average for all occupations. Play now to get hands-on experience building with Google Cloud's powerful coding and infrastructure management tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
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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。
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Apr 10, 2026 EDT
從 BigQuery 資料取得深入分析結果
Earned Apr 7, 2026 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned Apr 6, 2026 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Apr 4, 2026 EDT
Level 3 GenAI: Prompt Engineering
Earned Oct 19, 2023 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Oct 18, 2023 EDT
保護 Lakehouse 資料
Earned Jul 31, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 31, 2023 EDT
在 Google App Engine 上部署及管理應用程式
Earned Jul 27, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 27, 2023 EDT
生成式 AI 簡介
Earned Jul 9, 2023 EDT