Igor de Freitas Cruz
成为会员时间:2021
白银联赛
5100 积分
成为会员时间:2021
完成开发 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将学习 部署和监控应用的多种方法,包括执行以下任务的方法:探索 IAM 角色并添加/移除 项目访问权限、创建 VPC 网络、部署和监控 Compute Engine 虚拟机、 编写 SQL 查询、在 Compute Engine 中部署和监控虚拟机,以及使用 Kubernetes 通过多种部署方法部署应用。
完成构建安全的 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将了解与网络有关的众多 资源,以便在 Google Cloud 上构建、扩缩和保护自己的应用。
完成在 Google Cloud 上部署 Kubernetes 应用技能徽章中级课程,展示您在以下方面的技能: 配置和构建 Docker 容器映像,创建和管理 Google Kubernetes Engine (GKE) 集群,利用 kubectl 实现高效 集群管理,以及按照稳健的持续交付 (CD) 实践部署 Kubernetes 应用。
完成用 Database Migration Service 将 MySQL 数据迁移至 Cloud SQL 这一入门级的技能徽章课程,展示您在以下方面的技能: 使用 Database Migration Service 中提供的不同作业类型和连接选项,将 MySQL 数据迁移到 Cloud SQL; 以及在运行 Database Migration Service 作业时 迁移 MySQL 用户数据。
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。
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.
完成“在 Google Cloud 上设置应用开发环境”课程,赢取技能徽章;通过该课程,您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施: Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
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。
完成入门级技能徽章课程为 Compute Engine 实现云负载均衡,展示以下方面的技能: 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。
This course, Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Cloud Computing Fundamentals .The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud …