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所在平台: Udemy |
课程主页: https://www.udemy.com/course/serverless-data-architecture-on-google-cloud/
课程评论：没有评论
课程名称：GCP - 无服务器计算与人工智能平台数据科学 课程概述：谷歌云平台是目前增长最快的云服务提供商之一。本课程涵盖了GCP的所有主要无服务器组件，包括使用Vertex AI和Kubeflow详细实施机器学习管道，以及利用Dataproc、App Engine和Cloud Run进行无服务器Pyspark的应用开发。如果您对使用谷歌云平台进行大规模应用学习与部署感兴趣，但在部署应用程序并查看实际效果方面缺乏实践经验，那么本课程非常适合您。此外，您还将学习微服务和事件驱动架构，并通过实际案例进行实现。本课程适合任何希望获得以下服务的实践经验的人：Cloud Functions、Cloud Run、Google App Engine、用于自定义模型培训与开发的Vertex AI、用于工作流编排的Kubeflow、无服务器的Dataproc Pyspark批处理作业。 课程要求：学员应具备技术背景和基本原理，对Python和SQL等编程语言有一定了解，并对云计算有基本概念，具备自学的良好态度和耐心。您将学习如何设计和部署使用Python编写的应用程序，这也是本课程中使用的脚本语言，适用于多种不同的服务。
Google Cloud platform is one of the fastest growing cloud providers right now. This course covers all the major serverless components on GCP including a detailed implementation of Machine learning pipelines using Vertex AI with Kubeflow and includging Serverless Pyspark using Dataproc , App Engine and Cloud Run.Are you interested in learning & deploying applications at scale using Google Cloud platform ?Do you lack the hands on exposure when it comes to deploying applications and seeing them in action?If you answered "yes" to the above questions,then this course is for you.You will also learn what are micro-service and event driven architectures are with real world use-case implementations.This course is for anyone who wants to get a hands-on exposure in using the below services:Cloud FunctionsCloud Run Google App Engine Vertex AI for custom model training and development Kubeflow for workflow orchestration Dataproc Serverless for Pyspark batch jobs This course expects and assumes the students to have:A tech background with basic fundamentals Basic exposure to programming languages like Python & Sql Fair idea of how cloud works Have the right attitude and patience for self-learning:-)You will learn how to design and deploy applications written in Python which is the scripting language used in this course across a variety of different services.
