Level 3 GenAI: Prompt Engineering
Earned Oct 19, 2023 EDT
Google Cloud 云计算基础课程：云计算基础知识
Earned Oct 18, 2023 EDT
保护 Lakehouse 数据
Earned Jul 31, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 31, 2023 EDT
在 Google App Engine 上部署和管理应用
Earned Jul 27, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 27, 2023 EDT
生成式 AI 简介
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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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”，展示您在以下方面的技能： 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误，以及通过连接到 BigQuery 数据在 Data Studio 中 创建报告。
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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。
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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 云计算基础课程面向云计算零基础或经验较少的人群。本课程概述了云计算基础知识、大数据和机器学习的核心概念，以及 Google Cloud 在其中的定位与应用方式。
完成本系列课程后，学员将能够清晰阐述这些概念，并掌握部分实操技能。
课程应按以下顺序完成：
1. Google Cloud 云计算基础课程：云计算基础知识
2. Google Cloud 云计算基础课程：Google Cloud 中的基础设施
3. Google Cloud 云计算基础课程：Google Cloud 中的网络服务和安全性
4. Google Cloud 云计算基础课程：Google Cloud 中的数据、机器学习和 AI
本课是第一门课程，概述了云计算、Google Cloud 的使用方式以及各种计算选项。
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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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。
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Apr 10, 2026 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Apr 7, 2026 EDT
Google Cloud 上的 AI 和机器学习简介
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 云计算基础课程：云计算基础知识
Earned Oct 18, 2023 EDT
保护 Lakehouse 数据
Earned Jul 31, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 31, 2023 EDT
在 Google App Engine 上部署和管理应用
Earned Jul 27, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 27, 2023 EDT
生成式 AI 简介
Earned Jul 9, 2023 EDT