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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-docker-essentials-hands-on-devops/
课程评论：没有评论
课程名称：掌握Docker基础 - 实践DevOps 课程概述：Docker是一个开放平台，提供用于打包、构建和运行容器化应用程序的工具和解决方案。此课程适合所有人，采用系统化和实践性的方式，对Docker的基本概念进行详细概述。课程内容涵盖了Docker的核心概念，如镜像、容器、数据卷、网络等。学员将掌握创建优化Dockerfile进行应用程序容器化的实用技能，并学习如何使用Docker Compose运行多个容器。每个主题都包含讲座以解释概念，演示以展示实际操作，最后有作业来测试理解并巩固学习效果。如果您对Docker陌生，不用担心——课程从基础知识开始，逐步深入到中级主题。 课程结构： - 讲座 - 演示 - 测验 - 作业 课程内容概述： - Docker介绍 - 设置Docker引擎 - 设置Docker桌面 - 了解Docker架构 - Docker文档 - Docker镜像 - 容器注册中心 - Docker容器 - 使用Dockerfile构建镜像 - Docker网络 - Docker数据卷 - 多级Dockerfile - 应用程序容器化（使用Python的示例项目） - Docker Compose 课程的每个部分均展示现场演示。建议注册用户设置自己的Docker环境，参与练习，通过实践经验学习。
Docker is an open platform that provides tools and solutions to package, build, and run containerized applications.What's in this course?This Docker course, designed for everyone and provides a detailed overview of Docker essentials using a systematic and hands-on approach. It delves into fundamental Docker concepts and key concepts such as images, containers, volumes, networks, etc. You will also gain hands-on proficiency in creating optimized Dockerfiles for containerizing applications and learn how to use Docker Compose to run multiple containers. Each course topic includes lectures to clarify the concept, demonstrations to show it in action, and finally, an assignment to test your understanding and solidify your learning.If you're new to Docker, don't worry-this course starts from the basics and builds on gradually to intermediate topics.Legal Notice:Docker® is a registered trademarks of Docker Inc. in the United States and other countries. This course is not certified, accredited, affiliated with, nor endorsed by Docker, Inc.Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Introduction to DockerSetting up Docker EngineSetting up Docker DesktopUnderstanding Docker ArchitectureDocker DocumentationDocker ImagesContainer RegistriesDocker ContainersBuilding an Image with a DockerfileDocker NetworkingDocker VolumesMulti-Stage DockerfileContainerizing Applications (Sample Project using Python)Docker ComposeAll sections in this course feature live demonstrations. Enrolled users are encouraged to set up their own Docker environment, engage in the exercises, and learn through hands-on experience!
