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所在平台: Udemy |
课程主页: https://www.udemy.com/course/github-copilot-for-professionals/
课程评论:没有评论
课程名称:七天掌握GitHub Copilot:GitHub Copilot精英课程 课程概述:本课程旨在通过每天一小时的学习,在七天内提升开发者使用GitHub Copilot的生产力。研究表明,熟练使用GitHub Copilot的开发者可以将任务完成时间缩短一半,并且对工作满意度高出88%。生成式AI为软件开发带来了前所未有的生产力提升,未来还会进一步改善! 该课程结构设计合理,只需每天 dedicating 一小时,便能成功掌握GitHub Copilot的所有功能,提升为被AI助力的开发者。注意:本课程适合开发者和编码人员,我们将聚焦于实际开发中的用例,而非“随意编码”的概念。 课程内容包括: - GitHub Copilot的AI代码补全、聊天模式、CLI命令及高级功能的使用。 - 语义代码搜索、AI辅助代码审查和AI Agent的集成。 - 支持多环境的工作流优化,拉取请求总结和定制选项。 课程将手把手教你如何使用这些功能来提升开发环境的效率和融入日常工作流,从而成为一名熟练的GitHub Copilot使用者。 学习GitHub Copilot的好处: - 节省时间,加速任务完成,专注重大问题,让AI处理其余工作。 - 通过熟练掌握GitHub Copilot,使工作效率提升55%。 课程安排: - 第一天:GitHub Copilot基础与内联代码 - 第二天:对话式工作流 - 第三天:项目级智能 - 第四天:开发者协作 - 第五天:代码编辑与个性化 - 第六天:代理、工具与扩展 - 第七天:开发者用例应用 结课时,你将获得课程证书。若想掌握AI在开发工作流中的应用,提高生产力和工作满意度,本课程将是你的最佳选择。期待你的加入!
This is the course that will improve your productivity as a developer with GitHub Copilot for one hour a day over 7 days. Click the video for more information.Did you know: developers who are proficient with GitHub Copilot complete tasks in half the time, and they are 88% more satisfied that those who don't. Generative AI has seen the biggest productivity boost in software development since digital software, and it's just going to get better!This course is structured for you to succeed by just dedicating one hour every day for 7 days. By the end of this course, you will master GitHub Copilot and know how to use all its features to become an AI-supercharged developer.Note 1: this course is meant for developers and coders. We will not be using Copilot for "vibe-coding" (i.e., making POCs from scratch that are great as POCs but not fully deployable apps). We will be going through actual developer use-cases that you face on a day-to-day basis. This is not a "no-code" course.Note 2: We assume that you are already familiar with development concepts and version control system concepts like Git.This course teaches you how to use GitHub Copilot to leverage AI-powered code completion, chat modes, CLI commands, and advanced features like semantic code search, AI-assisted code reviews, and AI agents. You'll explore multi-environment support, pull-request summaries, and customization options for efficient coding. We literally go through every single feature in GitHub Copilot.By the end of this course, you'll be able to master GitHub Copilot's diverse functionalities, optimize your development environment, and become proficient in integrating its AI capabilities into your daily workflows.What is GitHub Copilot?GitHub Copilot is an AI-powered coding assistant developed by GitHub that suggests code completions, functions, and even entire blocks of code directly within your IDE. It helps developers write code faster by understanding context from comments and existing code to generate relevant suggestions in real time.GitHub Copilot provides intuitive and intelligent suggestions. Powered by cutting-edge models like GPT-4o, Copilot helps you code smarter, faster, and with fewer errors. With millions of developers already leveraging Copilot, it's rapidly becoming the go-to solution for modern coding.Why learn GitHub Copilot?Simple - save time, complete tasks quicker, focus on the big problems and let AI handle the rest. Developers who are proficient with GitHub Copilot complete tasks in half the time, and they are 88% more satisfied that those who don't. As a developer, you need to learn GitHub Copilot to stay competitive. What is this course all about?This course has one goal - to make you proficient at GitHub Copilot in just 7 days. Ultimately, this means going through GitHub Copilot's vast set of features and learning how to integrate them into your development workflow. Whether you're looking to save time, improve code quality, or explore advanced tools, you'll learn how to:Use GitHub Copilot's AI-powered code completion featuresUtilize chat modes, ask modes, CLI commands, and inline actionsIntegrate GPT models for smarter code generation and suggestionsImplement semantic code search and AI-assisted code reviewsOptimize multi-environment workflows and custom instructionsExplore tools like knowledge bases, pull-request summaries, and promptsLeverage GitHub Copilot AI Agents, with Tools, and MCPsThis course is hands-on, practical, and tailored for developers seeking real-world coding efficiency with GitHub Copilot's advanced capabilities. Note that the IDE we use in this course in VS Code.What will you learn?Improve your productivity and happiness as a developer - Being proficient in GitHub Copilot has shown to make developers 55% faster at their work, which is exactly what you will learn in this courseLearn and master all GitHub Copilot features, even nuanced ones - we will go through everything, from inline code completions to PR summaries to Agent mode extensions and MCPsLearn to integrate GitHub Copilot into your day-to-day (know when to use it) - unit tests, function definitions, code doc strings, architecting, version control systems, security reviews, feature add-ons, everythingAccelerate and revolutionize your development workflow - Master GitHub Copilot in just one hour a day over 7 days, making it a sustainable path for you to upskill Why choose this course?Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on GitHub Copilot. There is no other course like it that teaches you everything from start to finish. It contains over 6 hours of instructional content!Learn it in 7 days - this course is structured to help you succeed by just dedicating an hour on it every day. We go through several features each day and apply it to real-life use-casesFully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrates workflows with youStep by step - we go through every single concept one-by-one. This improves your probabilities of learning GitHub Copilot rather than going haphazardly through each featureTeacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out videoCourse OverviewIntroduction to GitHub Copilot - Discover what GitHub Copilot is, its standout features, and get a bird's-eye view of the course structure.GitHub Copilot Primer and Environment Setup - Understand how GitHub Copilot functions under the hood, explore the available plans, and get your environment up and running.Day 1 - Foundations & Inline Code in GitHub Copilot - Master AI code completions, leverage inline actions to fix or rewrite code, enable multi-environment support, and explore different interaction modes like Ask Mode.Day 2 - Conversational Workflows in GitHub Copilot - Dive deep into sidebar-based chat workflows, learn to use slash commands, model selection options, and leverage context-aware prompts in real coding scenarios.Day 3 - Project-Wide Intelligence in GitHub Copilot - Unlock smart code discovery with semantic search, get proactive edit suggestions, utilize GitHub Copilot CLI, and harness chat within GitHub.Day 4 - Developer Collaboration in GitHub Copilot - Boost team productivity with AI-assisted code reviews, PR summaries, workspace tools, and enterprise-ready knowledge base features.Day 5 - Code Edits & Personalization in GitHub Copilot - Customize your Copilot with inline editing, Copilot Vision, custom instructions, and reusable prompt files tailored to your coding standardsDay 6 - Agents, Tools, & Extensions in GitHub Copilot - Step into advanced territory with Agent Mode, powerful chat extensions, tool integrations, and multi-context processing (MCP) servers.Day 7 - Developer Use-Cases - Apply everything you have learned into common developer use-casesConclusion - Celebrate your achievement, and claim your course certificate.If you want to learn how to leverage AI in your development workflow and use GitHub Copilot to boost your productivity and happiness, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.