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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gcp-data-engineer-and-cloud-architect/
课程评论：没有评论
课程名称：GCP: 完整的谷歌数据工程师与云架构师指南 课程概述：本课程是对谷歌云平台（Google Cloud Platform, GCP）的一次全面指导，提供约25小时的内容和约60个演示。虽然谷歌云平台目前在云计算市场上的受欢迎程度不及亚马逊云服务（AWS），但它可能是高端机器学习应用的最佳选择。这是因为TensorFlow这一流行的深度学习技术也是由谷歌开发的。 课程内容包括： 1. 计算与存储：涵盖AppEngine、Container Engine（即Kubernetes）和计算引擎。 2. 大数据与托管Hadoop：介绍Dataproc、Dataflow、BigTable、BigQuery和Pub/Sub。 3. 云上的TensorFlow：探讨神经网络和深度学习的基本概念，神经元的工作原理，以及如何训练神经网络。 4. DevOps相关内容：包括StackDriver日志记录、监控和云部署管理。 5. 安全性：讲解身份与访问管理、身份感知代理、OAuth、API密钥以及服务账户。 6. 网络：涵盖虚拟私有云、共享VPC、网络、传输和HTTP层的负载均衡，VPN、云互联和CDN互联。 7. Hadoop基础：简要了解开源相关技术（如Hadoop、Spark、Pig、Hive和HBase）。 该课程适合希望深入了解谷歌云平台及其在数据工程和云架构方面应用的学习者。
This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos. The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google. What's Included: Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute EngineBig Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.DevOps stuff - StackDriver logging, monitoring, cloud deployment managerSecurity - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accountsNetworking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN InterconnectHadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)
