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在 Google Cloud 控制台中运用您的技能

Sofyan Saputra

成为会员时间：2019

白银联赛

5896 积分
[CEPF L300 Course]: Artificial Intelligence and Machine Learning Earned Sep 12, 2025 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Jun 12, 2025 EDT
Build a Certification Study Guide: PMLE Earned May 31, 2025 EDT
[DEPRECATED] Data Engineering Earned Sep 2, 2023 EDT
大型语言模型简介 Earned Jul 8, 2023 EDT
生成式 AI 简介 Earned Jul 4, 2023 EDT
[Accelerate 2022]: TechCon Lab Bash 2022 Earned Jan 14, 2022 EST
在 Google Cloud 上为机器学习 API 准备数据 Earned Sep 11, 2021 EDT
了解自己的 Google Cloud 成本 Earned Jan 13, 2021 EST
在 Google Cloud 中使用 Kubernetes Earned Feb 8, 2020 EST
Accelerate 2020: Google Cloud Hero... PreGame! Earned Jan 3, 2020 EST
Accelerate 2019: Google Cloud SCORE... PreGame! Earned Jan 26, 2019 EST

This Artificial Intelligence and Machine Learning course consists of a series of advanced-level labs designed to validate your proficiency in using AI and ML to extract, analyze, search, and store structured data from documents and improve customer service. Each lab presents a set of required tasks that you must complete with minimal assistance.You must score 80% or higher for each lab to complete this course, and fulfill your CEPF L300 Artificial Intelligence and Machine Learning requirement. For technical issues with a Challenge Lab, please raise a Buganizer ticket using this CEPF Buganizer template: go/cepfl300labsupport

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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。

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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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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。

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Welcome to the TechCon Lab Bash 2022 hands-on lab event! Below, you are presented with a series of labs ranging from Level 100 to Level 400. Level 100 labs are video walkthroughs of the lab content. Level 200 labs are traditional Learning Labs which provide you with step-by-step instructions. Level 300 are Challenge Labs which provide you with limited instructions and a hands-on technical scenario to solve. Level 400 are break/fix labs where you must identify the issues in the environment and resolve them.

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完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。

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本课程最适合担任技术或财务职务 且负责管理 Google Cloud 费用的人员。您将学习如何设置 结算账号、组织资源以及管理结算访问权限。 在实操实验中，您将学习如何查看账单、使用结算报告跟踪 Google Cloud 成本、使用 BigQuery 或 Google 表格分析结算数据， 以及使用 Looker Studio 创建自定义结算信息中心。视频中提及的链接 可以在此其他资源文档中查看。

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Kubernetes 是最受欢迎的容器编排系统， Google Kubernetes Engine 专为支持 Google Cloud 中的托管式 Kubernetes 部署 而设计。在本高级课程中，您将亲自动手配置 Docker 映像、容器，并部署功能完备的 Kubernetes Engine 应用。 此课程将帮助您掌握在工作流中集成容器编排所需的 实用技能。 想要参加实操实验室挑战赛， 展示您的技能并检验所学知识？完成本课程后，不妨继续参与这项额外的 实验室挑战赛，赢得 Google Cloud 专属数字徽章。 该挑战赛位于在 Google Cloud 上部署 Kubernetes 应用课程的结尾处。

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If you are a Technical Attendee at Accelerate 2020 Las Vegas (Jan 14-16, 2020), enroll now and complete this Quest. You'll be part of a hands-on labs competition, Google Cloud Hero, where you'll take labs to score points and compete with your colleagues to win prizes. The six labs in this Quest are the prerequisites: you need to complete these before attending, and the points you earn for completing these labs will be part of your event score. In order to maximize your final score and have a chance to be on the leaderboard, you must complete these labs!

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If you are a GCCT Technical Attendee at Accelerate 2019 Las Vegas (Jan 28-31, 2019), enroll now and complete this Quest. You'll be part of an on-site competition, Google Cloud SCORE, where you'll take hands-on labs to score points and compete with your colleagues to win prizes. The five labs in this Quest are the prerequisites: you need to complete these before attending, and the points you earn for completing these labs will be part of your event score. In order to maximize your final score and have a chance to be on the leaderboard, you must complete these labs!

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