GitHub Copilot Training Certification Course

SKU: 2186
7 Lesson
|
25 Hours
igmGuru offers a comprehensive GitHub Copilot Training Program designed for learners of all experience levels. This course covers all essential GitHub Copilot concepts such as AI-powered coding fundamentals, Copilot architecture and features, IDE setup and configuration, prompt engineering techniques, code generation and refactoring, and much more. Our GitHub Copilot Course Curriculum is designed by industry experts with over 15 years of experience in software development, DevOps, and AI-driven engineering practices. Enroll in our GitHub Copilot Certification Course to gain practical, real-world expertise through guided hands-on labs, live coding exercises, and real-time development scenarios.

GitHub Copilot Course Overview

Our GitHub Copilot Training Course is a comprehensive, career-oriented learning path designed to take you from Copilot basics to expert-level usage in professional development environments. Whether you're new to AI coding assistants or looking to maximize Copilot’s capabilities, this course caters to both beginners and experienced programmers. The curriculum is structured to support all learning levels.

You’ll be trained by industry professionals through the perfect blend of conceptual understanding and practical application. You will work on hands-on coding projects that reflect real-world software development scenarios, giving you the confidence to use GitHub Copilot effectively in production workflows.

What You Will Learn

The following are the future-ready skills you will learn during this training:

  • Fundamentals of GitHub Copilot and AI-assisted development
  • Configuring Copilot across different IDEs
  • Generating high-quality code, tests, and documentation
  • Improving developer workflows with Copilot Chat
  • Using Copilot for microservices, APIs, and automation
  • Leveraging AI to debug, optimize, and refactor code
  • Collaboration workflows with GitHub repositories
  • Implementing security best practices with AI tools
  • Automating CI/CD tasks using Copilot and GitHub Actions

GitHub Copilot Training Objectives

This course covers AI-assisted coding, prompt engineering for developers, code generation, productivity enhancement, and secure coding practices in modern software development environments.

  • Understand how AI-powered coding assistants work.
  • Generate code using effective prompts.
  • Improve software development productivity.
  • Use Copilot for debugging and code refactoring.
  • Accelerate test case and documentation creation.
  • Apply responsible AI coding practices.
  • Enhance software quality through intelligent suggestions.

Who Is This Course For?

AI-assisted development is rapidly becoming a standard practice across software engineering teams.

  • Software Developers
  • Full Stack Developers
  • DevOps Engineers
  • QA Automation Engineers
  • Technical Leads
  • Engineering Managers
  • Students entering software development

Tools You Will Learn

In this program, you will get familiar with widely used development and AI-assisted coding tools used in modern software engineering environments.

  • GitHub Copilot (Chat, CLI, Extensions)
  • Visual Studio Code / JetBrains IDEs
  • GitHub Actions & GitHub Repositories
  • Copilot for Pull Requests & Documentation
  • AI-assisted Testing Tools
  • Git & Version Control Workflows

Technologies Covered in This Course

Our training program will help you learn or work with technologies related to AI-powered development, code automation, cloud repositories, version control, and modern programming practices. You will also learn how GitHub Copilot integrates with popular IDEs and development platforms.

  • GitHub Copilot Setup & Workspace Configuration
  • AI Pair Programming Concepts
  • Prompt Engineering for Developers
  • Copilot for Code Generation, Debugging & Refactoring
  • Writing Tests with Copilot (Unit, Integration)
  • Copilot for Documentation & Commenting
  • GitHub Actions Automation
  • Secure Coding & Compliance with AI Tools
  • Team Workflows Using Copilot Enterprise
  • Integrating Copilot with Cloud & DevOps Pipelines

Career Outcomes

Organizations increasingly seek developers who can effectively leverage AI tools to accelerate software delivery.

  • AI-Augmented Developer
  • Software Engineer
  • Full Stack Developer
  • DevOps Engineer
  • Technical Consultant
  • Automation Engineer
  • Solution Developer

Benefits of This Training

  • High Demand for AI-Assisted Development Skills
  • Boost Productivity and Reduce Development Time
  • Strengthen Your Profile in Software Engineering & DevOps
  • Hands-On Experience Using Real-World Tools
  • Cloud-Native, IDE-Friendly, and Easy to Adopt
  • Ideal for Modern AI/ML, Full Stack, DevOps, and Cloud Roles
  • Backed by GitHub’s Strong Ecosystem and Community
  • Future-Proof Skillset in AI-Powered Engineering

Skills You Will Gain

  • AI-Powered Coding & Automation
  • GitHub Copilot Configuration & Administration
  • Prompt Engineering for Developers
  • Efficient Code Generation in Java, Python, JavaScript & more
  • Automated Testing & Documentation using Copilot
  • GitHub Actions Workflow Automation
  • Secure & Compliant Coding Practices
  • Version Control & Repository Management
  • Debugging, Refactoring & Code Optimization with AI
  • DevOps Integration with Copilot Tools

Salary of GitHub Copilot Professionals

Developers who combine coding expertise with AI-assisted development skills are becoming highly sought-after across industries.

Source: Industry salary estimates based on market trends and data from Glassdoor, Indeed, AmbitionBox, and leading recruitment platforms.

Experience level India (INR) US (USD)
Entry level (0-2 yrs) ₹8 LPA - ₹12 LPA $110K - $130K
Mid level (2-5 yrs) ₹12 LPA - ₹20 LPA $130K - $155K
Senior level (5+ yrs) ₹20 LPA - ₹30 LPA+ $155K - $180K+

Why Choose igmGuru for GitHub Copilot Training?

igmGuru helps professionals understand not only how to use GitHub Copilot, but also how to maximize its value in real software development workflows.

  • Free Demo Class
  • Affordable GitHub Copilot Training Fees
  • Comprehensive Interview Preparation
  • Personalized Resume Building Support
  • End-to-End Job Assistance

Key Features

Course Curriculum

1. What is GitHub Copilot (history, purpose, models behind it)
2. Overview of AI pair programming & how Copilot works (OpenAI Codex, context, models)
3. Use cases and business / developer value
4. Differences between Copilot Individual, Business, Enterprise
5. Licensing, subscription plans, pricing models
1. Prerequisites and system requirements
2. Installing Copilot in IDEs (VS Code, JetBrains, Visual Studio, Neovim, etc.)
3. Enabling and configuring Copilot extension / plugin
4. Authentication, API keys, tokens, access control
5. Settings, preferences, toggles, customizing behavior
1. Inline code completion, single-line and multi-line suggestions
2. Accepting, rejecting, cycling suggestions
3. Triggering suggestions (shortcuts, comments, natural language prompts)
4. Using Copilot in different workflows (writing functions, boilerplate, tests, docs)
5. Copilot Chat and inline chat interactions
1. Principles of writing effective prompts
2. Zero-shot, one-shot, few-shot prompting
3. The “4S method” or similar prompt design techniques
4. Refining suggestions, editing output, verifying correctness
5. Handling ambiguous or partial suggestions
1. Copilot across environments: CLI, GitHub.com, pull request / PR suggestions
2. Copilot in GitHub Actions / CI / pipelines
3. Copilot for multiple languages and tech stacks (Python, JavaScript, C#, etc.)
4. Using Copilot in testing, debugging, refactoring, optimization
5. Agent mode, autonomous workflows (if supported)
6. Working with legacy / large codebases
1. Understanding limitations, edge cases, hallucination risks
2. Security, license, copyright, IP risks
3. Bias, data leakage, sensitive data handling
4. Governance, policies, role-based access control
5. Auditing, logging, usage metrics
1. Measuring ROI, adoption metrics, developer productivity
2. Onboarding and training strategies
3. Rollout plan in organizations
4. Seat management, provisioning, licenses
5. Monitoring, feedback, iteration
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 25 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 08 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 11 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Want to know Today's Offer

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GitHub Copilot Certification

We provide a course completion certificate to all learners who successfully complete the GitHub Copilot Training. This certificate validates your skills in AI-powered coding, Copilot usage, and responsible software development practices.

We will also provide guidance on the below mentioned certification exam:

Certification Name

GitHub Copilot Certification

Exam Format

  • Duration: 100 minutes
  • Number of Questions: Varies (includes scenario-based and multiple-choice questions)
  • Passing Score: Not officially published by GitHub
  • Type: Scenario-based questions focused on real-world Copilot usage, responsible AI, prompt engineering, and collaboration workflows
  • Mode: Online proctored (remote)

Exam Cost

The official exam cost is $99–$150 USD (may vary by location and currency)

GitHub Copilot Certification

FAQ's

No. igmGuru's GitHub Copilot Training starts with the basics and gradually covers advanced AI-assisted coding techniques.

Yes. You will learn how to use GitHub Copilot with popular languages such as Python, Java, JavaScript, C#, and more.

Yes. igmGuru provides practical exercises and real-world coding scenarios to help you gain confidence using Copilot.

Absolutely. The course covers effective prompting techniques to generate more accurate and useful code suggestions.

Yes. AI-assisted development is becoming a standard industry practice, making GitHub Copilot a highly relevant skill for modern developers.

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