利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jun 27, 2025 EDT
Networking in Google Cloud: Network Architecture
Earned Jun 26, 2025 EDT
Advanced ML: ML Infrastructure
Earned Jun 25, 2025 EDT
Intro to ML: Image Processing
Earned Jun 27, 2024 EDT
面向机器学习的 BigQuery
Earned Jun 26, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Jun 24, 2024 EDT
探索生成式 AI - Vertex AI
Earned Jun 24, 2024 EDT
在 Google Cloud 中管理 Kubernetes
Earned Jun 12, 2024 EDT
为 Compute Engine 实现云负载均衡
Earned Jun 11, 2024 EDT
在 Google Cloud 上使用 Machine Learning API
Earned Jun 9, 2024 EDT
生成式 AI 简介
Earned Jun 2, 2024 EDT
完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理， 展示自己在以下方面的技能：利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线； 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流； 以及利用 BigQuery ML 构建机器学习模型。
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Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture!
In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud.
In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing.
Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.
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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
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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.
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。
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完成在 Google Cloud 中管理 Kubernetes这一中级技能徽章课程， 展示您在以下方面的技能：使用 kubectl 管理部署、监控并 调试在 Google Kubernetes Engine (GKE) 上运行的应用，以及持续交付技术。
完成在 Google Cloud 上使用 Machine Learning API 课程，赢取高级技能徽章。 在本课程中，您将了解以下机器学习和 AI 技术的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
了解详情
这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jun 27, 2025 EDT
Networking in Google Cloud: Network Architecture
Earned Jun 26, 2025 EDT
Advanced ML: ML Infrastructure
Earned Jun 25, 2025 EDT
Intro to ML: Image Processing
Earned Jun 27, 2024 EDT
面向机器学习的 BigQuery
Earned Jun 26, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Jun 24, 2024 EDT
探索生成式 AI - Vertex AI
Earned Jun 24, 2024 EDT
在 Google Cloud 中管理 Kubernetes
Earned Jun 12, 2024 EDT
为 Compute Engine 实现云负载均衡
Earned Jun 11, 2024 EDT
在 Google Cloud 上使用 Machine Learning API
Earned Jun 9, 2024 EDT
生成式 AI 简介
Earned Jun 2, 2024 EDT