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

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

GitHub Copilot for Beginners

Dozent: Edureka

Bei enthalten

Mehr erfahren

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

6 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

6 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Wichtige Details

Zertifikat zur Vorlage

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Kürzlich aktualisiert!

Mai 2026

Bewertungen

11 Aufgaben

Unterrichtet in Englisch

91%

of learners achieved a positive career outcome

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In diesem Kurs gibt es 4 Module

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.

Moduldetails

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.

Das ist alles enthalten

8 Videos4 Lektüren3 Aufgaben

8 VideosInsgesamt 37 Minuten

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

4 LektürenInsgesamt 35 Minuten

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

3 AufgabenInsgesamt 27 Minuten

GitHub Copilot Fundamentals15 Minuten
Copilot Setup, Architecture, and Configuration6 Minuten
Core Coding Features and Prompt Engineering6 Minuten

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.

Das ist alles enthalten

10 Videos4 Lektüren4 Aufgaben

10 VideosInsgesamt 47 Minuten

Copilot Chat: Conversational Interfaces for Code Development3 Minuten
Hands-On: Using Chat for Code Explanations and Documentation5 Minuten
Hands-On: Debugging and Refactoring with Copilot Chat6 Minuten
Hands-On: Generating Unit Tests and Validating Test Quality6 Minuten
Ensuring Quality in AI-Generated Code3 Minuten
Hands-On: Testing and Validating AI-Generated Code5 Minuten
Hands-On: Security Best Practices with Copilot5 Minuten
Hands-On: Code Review Workflows with Copilot6 Minuten
Advanced Copilot Workflows and Project Context4 Minuten
Hands-On: Multi-File Code Generation and Refactoring4 Minuten

4 LektürenInsgesamt 35 Minuten

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

4 AufgabenInsgesamt 33 Minuten

Interactive Development and Code Quality15 Minuten
Copilot Chat and Conversational Coding6 Minuten
Testing, Validation, and Code Quality6 Minuten
Code Review and Advanced Techniques6 Minuten

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.

Das ist alles enthalten

8 Videos3 Lektüren3 Aufgaben

8 VideosInsgesamt 41 Minuten

Hands-On: Copilot for Documentation and Comments4 Minuten
Hands-On: Copilot CLI and Automation Scripts6 Minuten
Hands-On: Integrating Copilot into CI/CD Pipelines6 Minuten
Hands-On: Building a Complete Web Application with Copilot3 Minuten
Hands-on: Planning and Architecting Project6 Minuten
Hands-On: Developing the Backend Architecture for the Project6 Minuten
Hands-On: Building the User Interface for the Project4 Minuten
Hands-On: Testing, Documentation and Version Control7 Minuten

3 LektürenInsgesamt 25 Minuten

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

3 AufgabenInsgesamt 27 Minuten

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

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.