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⇱ GitHub Copilot for Beginners | Coursera

GitHub Copilot for Beginners

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GitHub Copilot for Beginners

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Recently updated!

May 2026

Assessments

11 assignments

Taught in English

There are 4 modules in this course

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.

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.

What's included

8 videos4 readings3 assignments

8 videos•Total 37 minutes
  • Course Introduction•4 minutes
  • GitHub Copilot Architecture and Capabilities•4 minutes
  • Setting Up Your Workspace and Understanding LLM Basics•4 minutes
  • Hands-On: Installing and Configuring GitHub Copilot•4 minutes
  • Hands-On: Inline Suggestions and Tab Completion•4 minutes
  • Copilot Context and Reliability Boundaries•4 minutes
  • Hands-On: Writing Effective Prompts and Debugging AI Outputs•6 minutes
  • Hands-On: Copilot Across Languages and Frameworks•7 minutes
4 readings•Total 35 minutes
  • Course Overview: GitHub Copilot Fundamentals•10 minutes
  • How GitHub Copilot Works: Tokens, Context Windows, and Code Generation Basics•10 minutes
  • Prompt Design Patterns for Code Generation•10 minutes
  • Module Summary: GitHub Copilot Fundamentals•5 minutes
3 assignments•Total 27 minutes
  • Copilot Setup, Architecture, and Configuration•6 minutes
  • Core Coding Features and Prompt Engineering•6 minutes
  • GitHub Copilot Fundamentals•15 minutes

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.

What's included

10 videos4 readings4 assignments

10 videos•Total 47 minutes
  • Copilot Chat: Conversational Interfaces for Code Development•3 minutes
  • Hands-On: Using Chat for Code Explanations and Documentation•5 minutes
  • Hands-On: Debugging and Refactoring with Copilot Chat•6 minutes
  • Hands-On: Generating Unit Tests and Validating Test Quality•6 minutes
  • Ensuring Quality in AI-Generated Code•3 minutes
  • Hands-On: Testing and Validating AI-Generated Code•5 minutes
  • Hands-On: Security Best Practices with Copilot•5 minutes
  • Hands-On: Code Review Workflows with Copilot•6 minutes
  • Advanced Copilot Workflows and Project Context•4 minutes
  • Hands-On: Multi-File Code Generation and Refactoring•4 minutes
4 readings•Total 35 minutes
  • Managing Context in AI Tools: Multi-File Awareness and Conversation Control•10 minutes
  • Evaluating AI-Generated Code: Accuracy, Security, and Maintainability Metrics•10 minutes
  • Human-in-the-Loop Development: When to Trust, Review, or Reject AI Code•10 minutes
  • Module Summary: Interactive Development and Code Quality•5 minutes
4 assignments•Total 33 minutes
  • Copilot Chat and Conversational Coding•6 minutes
  • Testing, Validation, and Code Quality•6 minutes
  • Code Review and Advanced Techniques•6 minutes
  • Interactive Development and Code Quality•15 minutes

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.

What's included

8 videos3 readings3 assignments

8 videos•Total 41 minutes
  • Hands-On: Copilot for Documentation and Comments•4 minutes
  • Hands-On: Copilot CLI and Automation Scripts•6 minutes
  • Hands-On: Integrating Copilot into CI/CD Pipelines•6 minutes
  • Hands-On: Building a Complete Web Application with Copilot•3 minutes
  • Hands-on: Planning and Architecting Project•6 minutes
  • Hands-On: Developing the Backend Architecture for the Project•6 minutes
  • Hands-On: Building the User Interface for the Project•4 minutes
  • Hands-On: Testing, Documentation and Version Control•7 minutes
3 readings•Total 25 minutes
  • AI in Production Systems: Risks, Monitoring, and Governance in CI/CD•10 minutes
  • Applying Copilot in Real-World Workflows: Portfolio, PRs, and Career Readiness•10 minutes
  • Module Summary: Advanced Workflows and Project•5 minutes
3 assignments•Total 27 minutes
  • CI/CD Automation and Real-World Development•6 minutes
  • Project Build and Career Readiness•6 minutes
  • Advanced Workflows and Project•15 minutes

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.

What's included

1 video1 reading1 assignment

1 video•Total 4 minutes
  • Course Summary•4 minutes
1 reading•Total 30 minutes
  • Practice Project: AI-Assisted Web Application Development with GitHub Copilot•30 minutes
1 assignment•Total 30 minutes
  • End Course Knowledge Check: GitHub Copilot for Beginners•30 minutes

Instructor

Edureka
203 Courses•185,724 learners

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Frequently asked questions

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.

Financial aid available,