Applying Machine Learning to your Data with Google Cloud
Earned May 9, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned May 9, 2024 EDT
Google Cloud 上的 AI 和机器学习简介
Earned May 9, 2024 EDT
Intro to ML: Image Processing
Earned May 8, 2024 EDT
在 Looker 中构建 LookML 对象
Earned May 8, 2024 EDT
监控和管理 Google Cloud 资源
Earned May 8, 2024 EDT
使用 Natural Language API 分析情感
Earned May 8, 2024 EDT
用 Cloud Vision API 分析图片
Earned May 8, 2024 EDT
使用 Google API 分析语音和语言
Earned May 8, 2024 EDT
在 Google Cloud 上使用 TensorFlow 进行图片分类
Earned May 6, 2024 EDT
面向数据科学家和分析师的 Gemini
Earned May 1, 2024 EDT
机器学习简介：语言处理
Earned May 1, 2024 EDT
基准：基础架构
Earned May 1, 2024 EDT
借助 Firebase 开发无服务器应用
Earned Apr 26, 2024 EDT
在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成
Earned Apr 26, 2024 EDT
Data Catalog Fundamentals
Earned Aug 12, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Aug 12, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Aug 12, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 12, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Aug 11, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Aug 11, 2023 EDT
探索生成式 AI - Vertex AI
Earned Aug 11, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Aug 9, 2023 EDT
通过 BigQuery ML 创建机器学习模型
Earned Aug 9, 2023 EDT
为 Compute Engine 实现云负载均衡
Earned Aug 5, 2023 EDT
在 Google Cloud 上构建网站
Earned Aug 2, 2023 EDT
在本课程中，您将了解 Gemini（Google Cloud 推出的一款依托生成式 AI 的协作工具）如何帮助您使用 Google 产品和服务开发、测试、部署和管理应用。在 Gemini 的协助下，您可以学习如何开发和构建 Web 应用、修复应用中的错误、开发测试和查询数据。您可以通过实操实验了解如何利用 Gemini 来改进软件开发生命周期 (SDLC)。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
了解详情
In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
了解详情
本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力，重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具，并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。
了解详情
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。
了解详情
这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 1.0 Pro 模型集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。
了解详情
Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
了解详情
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
了解详情
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
了解详情
TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
了解详情
完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。
了解详情
探索生成式 AI - Vertex AI 课程汇集了多组实验， 指导用户在 Google Cloud 平台上运用生成式 AI。参与实验，您将了解 如何使用 Vertex AI PaLM API 系列模型，包括 text-bison、chat-bison 和 textembedding-gecko。您还将了解提示设计、最佳实践， 以及如何使用生成式 AI 进行构思、文本分类、文本提取、文本 总结等任务。您还将学习如何通过 Vertex AI 自定义训练对基础模型进行调优， 并将模型部署到 Vertex AI 端点。
完成在 Google Cloud 上构建网站技能徽章课程，赢取入门级技能徽章。本课程以 Get Cooking in Cloud 系列视频为基础， 涵盖以下主题：在 Cloud Run 上部署网站在 Compute Engine 上托管 Web 应用在 Google Kubernetes Engine 上创建、部署和扩缩网站使用 Cloud Build 从单体式应用迁移到微服务架构
适用于端到端 SDLC 的 Gemini
Earned Apr 3, 2026 EDT
Applying Machine Learning to your Data with Google Cloud
Earned May 9, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned May 9, 2024 EDT
Google Cloud 上的 AI 和机器学习简介
Earned May 9, 2024 EDT
Intro to ML: Image Processing
Earned May 8, 2024 EDT
在 Looker 中构建 LookML 对象
Earned May 8, 2024 EDT
监控和管理 Google Cloud 资源
Earned May 8, 2024 EDT
使用 Natural Language API 分析情感
Earned May 8, 2024 EDT
用 Cloud Vision API 分析图片
Earned May 8, 2024 EDT
使用 Google API 分析语音和语言
Earned May 8, 2024 EDT
在 Google Cloud 上使用 TensorFlow 进行图片分类
Earned May 6, 2024 EDT
面向数据科学家和分析师的 Gemini
Earned May 1, 2024 EDT
机器学习简介：语言处理
Earned May 1, 2024 EDT
基准：基础架构
Earned May 1, 2024 EDT
借助 Firebase 开发无服务器应用
Earned Apr 26, 2024 EDT
在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成
Earned Apr 26, 2024 EDT
Data Catalog Fundamentals
Earned Aug 12, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Aug 12, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Aug 12, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Aug 12, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Aug 11, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Aug 11, 2023 EDT
探索生成式 AI - Vertex AI
Earned Aug 11, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Aug 9, 2023 EDT
通过 BigQuery ML 创建机器学习模型
Earned Aug 9, 2023 EDT
为 Compute Engine 实现云负载均衡
Earned Aug 5, 2023 EDT
在 Google Cloud 上构建网站
Earned Aug 2, 2023 EDT