Who is this course designed for?

This course is ideal for software developers, AI engineers, application developers, DevOps professionals, and anyone interested in AI-assisted software development using GitHub Copilot

Do I need prior programming experience?

Yes, basic programming experience is recommended. Learners should be comfortable writing simple code in languages such as JavaScript, Python, Java, or similar programming languages.

What will I learn in this course?

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.

What is GitHub Copilot and how does it help developers?

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.

Will I learn how to write better prompts?

Yes. The course covers prompt design patterns, clear instruction writing, constraints, iteration, and techniques for improving Copilot-generated code outputs.

Does this course cover real-world development workflows?

Yes. The course covers practical workflows such as debugging, refactoring, unit testing, documentation, code review, terminal workflows, CI/CD validation, and project-based development.

Will I work on a practical project?

Yes. You will apply GitHub Copilot across a practical project workflow, including planning, backend development, frontend development, testing, documentation, and review.

How does this course help in real-world jobs?

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.

Do I need to install any tools?

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.

When will I have access to the lectures and assignments?

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.

What will I get if I purchase the Certificate?

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.

Is financial aid available?

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.

GitHub Copilot for Beginners

位教师：Edureka

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

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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该课程共有4个模块

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.

单元详情

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 Introduction4分钟
GitHub Copilot Architecture and Capabilities4分钟
Setting Up Your Workspace and Understanding LLM Basics4分钟
Hands-On: Installing and Configuring GitHub Copilot4分钟
Hands-On: Inline Suggestions and Tab Completion4分钟
Copilot Context and Reliability Boundaries4分钟
Hands-On: Writing Effective Prompts and Debugging AI Outputs6分钟
Hands-On: Copilot Across Languages and Frameworks7分钟

4篇阅读材料总计35分钟

Course Overview: GitHub Copilot Fundamentals10分钟
How GitHub Copilot Works: Tokens, Context Windows, and Code Generation Basics10分钟
Prompt Design Patterns for Code Generation10分钟
Module Summary: GitHub Copilot Fundamentals5分钟

3个作业总计27分钟

GitHub Copilot Fundamentals15分钟
Copilot Setup, Architecture, and Configuration6分钟
Core Coding Features and Prompt Engineering6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 Development3分钟
Hands-On: Using Chat for Code Explanations and Documentation5分钟
Hands-On: Debugging and Refactoring with Copilot Chat6分钟
Hands-On: Generating Unit Tests and Validating Test Quality6分钟
Ensuring Quality in AI-Generated Code3分钟
Hands-On: Testing and Validating AI-Generated Code5分钟
Hands-On: Security Best Practices with Copilot5分钟
Hands-On: Code Review Workflows with Copilot6分钟
Advanced Copilot Workflows and Project Context4分钟
Hands-On: Multi-File Code Generation and Refactoring4分钟

4篇阅读材料总计35分钟

Managing Context in AI Tools: Multi-File Awareness and Conversation Control10分钟
Evaluating AI-Generated Code: Accuracy, Security, and Maintainability Metrics10分钟
Human-in-the-Loop Development: When to Trust, Review, or Reject AI Code10分钟
Module Summary: Interactive Development and Code Quality5分钟

4个作业总计33分钟

Interactive Development and Code Quality15分钟
Copilot Chat and Conversational Coding6分钟
Testing, Validation, and Code Quality6分钟
Code Review and Advanced Techniques6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 Comments4分钟
Hands-On: Copilot CLI and Automation Scripts6分钟
Hands-On: Integrating Copilot into CI/CD Pipelines6分钟
Hands-On: Building a Complete Web Application with Copilot3分钟
Hands-on: Planning and Architecting Project6分钟
Hands-On: Developing the Backend Architecture for the Project6分钟
Hands-On: Building the User Interface for the Project4分钟
Hands-On: Testing, Documentation and Version Control7分钟

3篇阅读材料总计25分钟

AI in Production Systems: Risks, Monitoring, and Governance in CI/CD10分钟
Applying Copilot in Real-World Workflows: Portfolio, PRs, and Career Readiness10分钟
Module Summary: Advanced Workflows and Project5分钟

3个作业总计27分钟

Advanced Workflows and Project15分钟
CI/CD Automation and Real-World Development6分钟
Project Build and Career Readiness6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.