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.
GitHub Copilot for Beginners
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
Basic familiarity with programming concepts and basic application structure is helpful; basic familiarity with prompt engineering is required.
6 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
Basic familiarity with programming concepts and basic application structure is helpful; basic familiarity with prompt engineering is required.
6 小时 完成
灵活的计划
自行安排学习进度
您将学到什么
Define GitHub Copilot’s core features and role in AI-assisted software development.
Apply Copilot prompts, Chat, and inline suggestions to generate and refine code.
Analyze AI-generated code to identify errors, inefficiencies, and risks.
Evaluate Copilot outputs using testing, validation, security, and human review.
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最近已更新！
May 2026
作业
11 项作业
授课语言：英语（English）
91% of learners achieved a positive career outcome
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该课程共有4个模块
Build a strong foundation in GitHub Copilot by exploring its architecture, capabilities, setup process, and role in modern AI-assisted development. Understand how Copilot uses context, tokens, prompts, and code generation patterns to support developers across different coding environments. Apply core Copilot features through hands-on practice with inline suggestions, tab completion, prompt design, and debugging poor AI outputs, developing the ability to use Copilot effectively and responsibly in everyday coding workflows.
涵盖的内容
8个视频4篇阅读材料3个作业
8个视频•总计37分钟
- Course Introduction•4分钟
- GitHub Copilot Architecture and Capabilities•4分钟
- Setting Up Your Workspace and Understanding LLM Basics•4分钟
- Hands-On: Installing and Configuring GitHub Copilot•4分钟
- Hands-On: Inline Suggestions and Tab Completion•4分钟
- Copilot Context and Reliability Boundaries•4分钟
- Hands-On: Writing Effective Prompts and Debugging AI Outputs•6分钟
- Hands-On: Copilot Across Languages and Frameworks•7分钟
4篇阅读材料•总计35分钟
- Course Overview: GitHub Copilot Fundamentals•10分钟
- How GitHub Copilot Works: Tokens, Context Windows, and Code Generation Basics•10分钟
- Prompt Design Patterns for Code Generation•10分钟
- Module Summary: GitHub Copilot Fundamentals•5分钟
3个作业•总计27分钟
- GitHub Copilot Fundamentals•15分钟
- Copilot Setup, Architecture, and Configuration•6分钟
- Core Coding Features and Prompt Engineering•6分钟
Apply GitHub Copilot Chat to interactive development workflows by using conversational AI for code explanation, documentation, debugging, refactoring, and test generation. Analyze how Copilot supports multi-file awareness, context management, unit testing, security checks, and maintainability improvements. Strengthen code quality practices by validating AI-generated code, reviewing outputs critically, and applying human-in-the-loop decision-making to determine when to trust, revise, or reject Copilot suggestions.
涵盖的内容
10个视频4篇阅读材料4个作业
10个视频•总计47分钟
- Copilot Chat: Conversational Interfaces for Code Development•3分钟
- Hands-On: Using Chat for Code Explanations and Documentation•5分钟
- Hands-On: Debugging and Refactoring with Copilot Chat•6分钟
- Hands-On: Generating Unit Tests and Validating Test Quality•6分钟
- Ensuring Quality in AI-Generated Code•3分钟
- Hands-On: Testing and Validating AI-Generated Code•5分钟
- Hands-On: Security Best Practices with Copilot•5分钟
- Hands-On: Code Review Workflows with Copilot•6分钟
- Advanced Copilot Workflows and Project Context•4分钟
- Hands-On: Multi-File Code Generation and Refactoring•4分钟
4篇阅读材料•总计35分钟
- Managing Context in AI Tools: Multi-File Awareness and Conversation Control•10分钟
- Evaluating AI-Generated Code: Accuracy, Security, and Maintainability Metrics•10分钟
- Human-in-the-Loop Development: When to Trust, Review, or Reject AI Code•10分钟
- Module Summary: Interactive Development and Code Quality•5分钟
4个作业•总计33分钟
- Interactive Development and Code Quality•15分钟
- Copilot Chat and Conversational Coding•6分钟
- Testing, Validation, and Code Quality•6分钟
- Code Review and Advanced Techniques•6分钟
Integrate GitHub Copilot into advanced development workflows involving documentation, terminal commands, automation scripts, CI/CD validation checks, and multi-file application development. Apply Copilot across project planning, backend development, frontend implementation, testing, and documentation to build a complete web application. Develop practical readiness for professional workflows by using Copilot to support pull requests, portfolio projects, code reviews, and responsible AI-assisted software delivery.
涵盖的内容
8个视频3篇阅读材料3个作业
8个视频•总计41分钟
- Hands-On: Copilot for Documentation and Comments•4分钟
- Hands-On: Copilot CLI and Automation Scripts•6分钟
- Hands-On: Integrating Copilot into CI/CD Pipelines•6分钟
- Hands-On: Building a Complete Web Application with Copilot•3分钟
- Hands-on: Planning and Architecting Project•6分钟
- Hands-On: Developing the Backend Architecture for the Project•6分钟
- Hands-On: Building the User Interface for the Project•4分钟
- Hands-On: Testing, Documentation and Version Control•7分钟
3篇阅读材料•总计25分钟
- AI in Production Systems: Risks, Monitoring, and Governance in CI/CD•10分钟
- Applying Copilot in Real-World Workflows: Portfolio, PRs, and Career Readiness•10分钟
- Module Summary: Advanced Workflows and Project•5分钟
3个作业•总计27分钟
- Advanced Workflows and Project•15分钟
- CI/CD Automation and Real-World Development•6分钟
- Project Build and Career Readiness•6分钟
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.
涵盖的内容
1个视频1篇阅读材料1个作业
1个视频•总计4分钟
- Course Summary•4分钟
1篇阅读材料•总计30分钟
- Practice Project: AI-Assisted Web Application Development with GitHub Copilot•30分钟
1个作业•总计30分钟
- End Course Knowledge Check: GitHub Copilot for Beginners•30分钟
位教师
提供方
提供方
Edureka
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today’s cutting edge technologies.
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常见问题
This course is ideal for software developers, AI engineers, application developers, DevOps professionals, and anyone interested in AI-assisted software development using GitHub Copilot
Yes, basic programming experience is recommended. Learners should be comfortable writing simple code in languages such as JavaScript, Python, Java, or similar programming languages.
You will learn how to use GitHub Copilot for code generation, inline suggestions, Copilot Chat, prompt writing, debugging, testing, documentation, code review, and project-based development workflows.
GitHub Copilot is an AI-powered coding assistant that helps developers write code faster, generate suggestions, explain code, debug issues, create tests, and improve productivity inside supported development environments.
Yes. The course covers prompt design patterns, clear instruction writing, constraints, iteration, and techniques for improving Copilot-generated code outputs.
Yes. The course covers practical workflows such as debugging, refactoring, unit testing, documentation, code review, terminal workflows, CI/CD validation, and project-based development.
Yes. You will apply GitHub Copilot across a practical project workflow, including planning, backend development, frontend development, testing, documentation, and review.
This course helps learners use GitHub Copilot responsibly in professional workflows by improving coding speed, code quality, testing practices, documentation, and human-in-the-loop review skills.
Yes. You should have access to GitHub Copilot and a supported code editor such as Visual Studio Code. Familiarity with Git, GitHub, and command-line basics is helpful.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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