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GitHub Copilot for Beginners · LearnSpace
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courseraПрограммирование

GitHub Copilot for Beginners

Курс от Edureka
Начальный≈ 6.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Your development workflow can become faster, smarter, and more reliable. In this hands-on course, you’ll learn GitHub Copilot, an AI-powered coding assistant that helps developers write code, generate suggestions, debug issues, create tests, and improve productivity directly inside their development environment. Whether you want to reduce repetitive coding tasks, improve code quality, or understand how AI can support modern software engineering, this course teaches you how to use GitHub Copilot effectively and responsibly. You’ll begin by exploring how GitHub Copilot works, including its architecture, context awareness, tokens, and code generation capabilities. Then, you’ll move through practical exercises—from using inline suggestions and tab completion to working with Copilot Chat, writing better prompts, debugging code, generating unit tests, reviewing AI-generated outputs, and applying Copilot in project-based workflows. By the end of this course, you will be able to: - Define GitHub Copilot’s core capabilities and explain how context, prompts, tokens, and code suggestions support AI-assisted development. - Use inline suggestions, tab completion, and Copilot Chat to generate, explain, debug, refactor, and document code efficiently. - Write effective prompts that guide Copilot toward accurate, secure, and maintainable code outputs. - Review and validate AI-generated code using testing, debugging, security checks, and human-in-the-loop decision-making. - Apply GitHub Copilot across documentation, code review, CI/CD workflows, and full-stack project development. This course is designed for software developers, application engineers, frontend and backend developers, DevOps professionals, early-career developers, and learners who want to understand how GitHub Copilot can support real development workflows. If you are new to GitHub Copilot or new to AI-assisted coding, this course provides a practical starting point. Learners should have basic experience writing code in a language such as JavaScript, Python, Java, or a similar programming language. Familiarity with Git, GitHub, and command-line usage is helpful, along with a willingness to practice through hands-on coding tasks. Enroll now and learn how to build, debug, test, and improve code with GitHub Copilot. Start with the fundamentals, practice with real development workflows, and build confidence using AI as part of the software development lifecycle.

Навыки, которые вы освоите

Code ReviewPrompt EngineeringBuilding CodesAI IntegrationsContext EngineeringWeb ApplicationsIntegrated Development EnvironmentsEmbeddingsSoftware DocumentationApplication DevelopmentPrompt Engineering ToolsSoftware TestingVibe codingContinuous IntegrationFull-Stack Web DevelopmentSoftware DevelopmentSoftware EngineeringWeb DevelopmentPrompt PatternsSoftware Design

Программа курса

4 модулей · 52 учебных материалов

01GitHub Copilot Fundamentals15 материалов

Copilot Setup, Architecture, and Configuration

Course IntroductionВидеоCourse Overview: GitHub Copilot FundamentalsЧтениеGitHub Copilot Architecture and CapabilitiesВидеоSetting Up Your Workspace and Understanding LLM BasicsВидео

Учитесь у экспертов

Edureka

Преподаватель курса

GitHub Copilot for Beginners
В каталоге вашей программы

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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 6.5 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Hands-On: Installing and Configuring GitHub CopilotВидео
How GitHub Copilot Works: Tokens, Context Windows, and Code Generation BasicsЧтение
Copilot Setup, Architecture, and ConfigurationЗадание

Core Coding Features and Prompt Engineering

Hands-On: Inline Suggestions and Tab CompletionВидеоCopilot Context and Reliability BoundariesВидеоHands-On: Writing Effective Prompts and Debugging AI OutputsВидеоHands-On: Copilot Across Languages and FrameworksВидеоPrompt Design Patterns for Code GenerationЧтениеCore Coding Features and Prompt EngineeringЗадание

Module Wrap Up

Module Summary: GitHub Copilot FundamentalsЧтениеGitHub Copilot FundamentalsЗадание
02Interactive Development and Code Quality18 материалов

Copilot Chat and Conversational Coding

Copilot Chat: Conversational Interfaces for Code DevelopmentВидеоHands-On: Using Chat for Code Explanations and DocumentationВидеоHands-On: Debugging and Refactoring with Copilot ChatВидеоHands-On: Generating Unit Tests and Validating Test QualityВидеоManaging Context in AI Tools: Multi-File Awareness and Conversation ControlЧтениеCopilot Chat and Conversational CodingЗадание

Testing, Validation, and Code Quality

Ensuring Quality in AI-Generated CodeВидеоHands-On: Testing and Validating AI-Generated CodeВидеоHands-On: Security Best Practices with CopilotВидеоEvaluating AI-Generated Code: Accuracy, Security, and Maintainability MetricsЧтениеTesting, Validation, and Code QualityЗадание

Code Review and Advanced Techniques

Hands-On: Code Review Workflows with CopilotВидеоAdvanced Copilot Workflows and Project ContextВидеоHands-On: Multi-File Code Generation and RefactoringВидеоHuman-in-the-Loop Development: When to Trust, Review, or Reject AI CodeЧтениеCode Review and Advanced TechniquesЗадание

Module Wrap Up

Module Summary: Interactive Development and Code QualityЧтениеInteractive Development and Code QualityЗадание
03Advanced Workflows and Project15 материалов

CI/CD Automation and Real-World Development

Hands-On: Copilot for Documentation and CommentsВидеоHands-On: Copilot CLI and Automation ScriptsВидеоHands-On: Integrating Copilot into CI/CD PipelinesВидеоHands-On: Building a Complete Web Application with CopilotВидеоAI in Production Systems: Risks, Monitoring, and Governance in CI/CDЧтениеCI/CD Automation and Real-World DevelopmentЗадание

Project Build and Career Readiness

Hands-on: Planning and Architecting ProjectВидеоHands-On: Developing the Backend Architecture for the ProjectВидеоHands-On: Building the User Interface for the ProjectВидеоHands-On: Testing, Documentation and Version ControlВидеоApplying Copilot in Real-World Workflows: Portfolio, PRs, and Career ReadinessЧтениеProject Build and Career ReadinessЗадание

Module Wrap Up

Module Summary: Advanced Workflows and ProjectЧтениеAnalyzing Real-World Development Workflows and AI Integration PracticesDIALOGUEAdvanced Workflows and ProjectЗадание
04Course Wrap Up4 материалов
Practice Project: AI-Assisted Web Application Development with GitHub CopilotЧтениеGitHub Copilot in a Developer Workflow InterviewDIALOGUEEnd Course Knowledge Check: GitHub Copilot for BeginnersЗаданиеCourse SummaryВидео