GITHUB COPILOT GH-300

Featured Review

4.5 (2055 Ratings)

GitHub Copilot GH-300 Training helps you use AI to code faster, debug smarter, write tests, and improve your development workflow. With hands-on projects and real-world scenarios, build practical GitHub Copilot skills and prepare for the GH-300 Certification.

Duration of Training : 40 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation

0 +

Google Reviews

0 +

JustDial Reviews

Overview

The Syllabus

Curriculum Designed by Experts

1. COURSE OVERVIEW

This program is designed to take learners from GitHub Copilot fundamentals to advanced,
enterprise-level AI-assisted software development.

The training focuses on:
• GitHub Copilot fundamentals
• AI-assisted coding
• Prompt engineering for developers
• Code generation and explanation
• Code completion and refactoring
• Debugging with Copilot
• Unit-test generation
• Documentation generation
• GitHub Copilot Chat
• Copilot across IDEs
• Copilot for GitHub workflows
• Copilot CLI
• Secure AI-assisted development
• Responsible AI practices
• Developer productivity
• Enterprise Copilot adoption
• Real-world development scenarios
• Interview and certification preparation

2. PREREQUISITES

Technical Prerequisites
• Basic programming knowledge
• Any one programming language:
o Python
o Java
o JavaScript / TypeScript
o C#
o C++
• Basic Git knowledge
• Basic GitHub knowledge
• Understanding of source-code repositories
• Basic command-line knowledge
• Basic software-development lifecycle knowledge

Recommended
• VS Code knowledge
• Git branching and pull requests
• Basic REST API concepts
• Basic debugging knowledge

No prior Generative AI expertise is required.

3. FUNDAMENTALS

GitHub Fundamentals
• Git vs GitHub
• Repository concepts
• Branches
• Commits
• Pull Requests
• Issues
• Code Reviews
• GitHub Actions overview
• GitHub organizations
• Repository permissions

Generative AI Fundamentals
• What is Generative AI?
• Large Language Models
• Tokens
• Context windows
• Prompts
• AI-generated code
• AI-assisted development
• Hallucinations
• AI limitations
• Human-in-the-loop development

GitHub Copilot Fundamentals
• What is GitHub Copilot?
• How Copilot works
• Copilot architecture concepts
• Copilot-supported development workflows
• Copilot suggestions
• Inline code completion
• Copilot Chat
• Context-aware assistance
• Copilot interaction models

4. CORE TECHNICAL TOPICS – OUR MAIN SYLLABUS

MODULE 1 – GitHub Copilot Introduction

• GitHub Copilot overview
• Copilot capabilities
• Copilot product ecosystem
• Copilot plans and licensing concepts
• Copilot-enabled development
• Copilot-supported IDEs
• Copilot workflow
• Copilot limitations
• Responsible usage
• Human review of AI-generated code

MODULE 2 – Setting Up GitHub Copilot

• GitHub account and organization concepts
• Copilot subscription concepts
• Enabling Copilot
• Installing Copilot extensions
• VS Code configuration
• JetBrains configuration
• Visual Studio configuration
• GitHub Codespaces
• Copilot settings
• Copilot suggestions
• Keyboard shortcuts
• Copilot Chat interface

MODULE 3 – GitHub Copilot Code Completion

• Inline suggestions
• Code completion
• Function generation
• Variable generation
• Loops and conditions
• Classes
• Methods
• APIs
• SQL queries
• Regular expressions
• Configuration files
• YAML generation
• JSON generation

Practical Development
• Generate code
• Accept suggestions
• Reject suggestions
• Modify suggestions
• Compare alternatives
• Validate generated code

MODULE 4 – Prompt Engineering for GitHub Copilot

Prompt Fundamentals
• Effective prompts
• Context-aware prompts
• Role-based prompting
• Task-based prompting
• Constraint-based prompting
• Structured prompts
• Iterative prompting

Developer Prompting
• Generate code
• Explain code
• Refactor code
• Optimize code
• Debug code
• Generate tests
• Generate documentation
• Convert code
• Review code

Advanced Prompting
• Multi-step prompts
• Context management
• Providing requirements
• Providing technical constraints
• Error-driven prompting
• Repository-aware prompting

MODULE 5 – GitHub Copilot Chat

• Copilot Chat fundamentals
• Asking technical questions
• Explain code
• Fix code
• Optimize code
• Refactor code
• Generate code
• Generate documentation
• Generate tests
• Debugging with Chat
• Understanding unfamiliar repositories
• Understanding architecture

Developer Productivity
• Generate boilerplate
• Generate classes
• Generate functions
• Generate API endpoints
• Generate database queries
• Generate configuration
• Generate scripts

MODULE 6 – Code Explanation & Understanding

• Explain existing code
• Explain functions
• Explain classes
• Explain algorithms
• Explain dependencies
• Explain error messages
• Explain stack traces
• Explain unfamiliar codebases
• Generate technical documentation
• Generate README files

Legacy Application Understanding
• Analyze legacy code
• Identify dependencies
• Identify technical debt
• Suggest modernization
• Generate documentation
• Generate test cases

MODULE 7 – Code Generation

Application Development
• Python application
• Java application
• JavaScript application
• TypeScript application
• C# application
• REST APIs
• CRUD applications
• Authentication modules
• Database integration
• Microservices

Copilot-Assisted Development
• Generate application structure
• Generate classes
• Generate services
• Generate controllers
• Generate repositories
• Generate API clients
• Generate configuration

MODULE 8 – Debugging with GitHub Copilot

• Debugging fundamentals
• Error analysis
• Stack-trace analysis
• Runtime errors
• Compilation errors
• Logical errors
• Dependency errors
• API errors
• Database errors

Copilot Debugging Workflow

Error → Explain → Identify Root Cause → Suggest Fix → Test → Validate

MODULE 9 – Refactoring & Code Optimization

• Code refactoring
• Clean code
• SOLID principles
• Design patterns
• Duplicate-code detection
• Code simplification
• Performance optimization
• Memory optimization
• Query optimization
• Maintainability improvement

Practical Exercises
• Refactor legacy Python code
• Refactor Java application
• Optimize JavaScript
• Optimize SQL queries
• Improve API implementation

MODULE 10 – Testing with GitHub Copilot

• Unit testing
• Integration testing
• API testing
• Test case generation
• Test-data generation
• Edge-case identification
• Negative testing
• Regression testing

Frameworks
• PyTest
• JUnit
• Jest
• NUnit
• Playwright

Copilot-Assisted Testing
• Generate unit tests
• Generate test scenarios
• Generate mocks
• Generate test data
• Increase code coverage
• Identify missing test cases

MODULE 11 – Documentation with Copilot

• Code comments
• Function documentation
• API documentation
• README generation
• Technical documentation
• Architecture documentation
• Troubleshooting guides
• Runbooks
• Release notes
• Change summaries

MODULE 12 – GitHub Copilot CLI

• Copilot CLI concepts
• Command-line assistance
• Shell command generation
• Linux commands
• Git commands
• File operations
• Troubleshooting commands
• Automation scripts
• Command explanation

Practical
• Generate Linux commands
• Generate Git commands
• Build shell scripts
• Troubleshoot command errors
• Automate repetitive tasks

MODULE 13 – Copilot for DevOps

• CI/CD concepts
• GitHub Actions
• Workflow YAML
• Pipeline generation
• Build automation
• Deployment automation
• Dockerfile generation
• Kubernetes YAML
• Terraform assistance

Tools
• GitHub Actions
• Docker
• Kubernetes
• Terraform
• Azure
• AWS
• GCP

MODULE 14 – Copilot for Cloud Development

Cloud Development
• Cloud architecture assistance
• Cloud CLI commands
• Infrastructure scripts
• Terraform configuration
• Docker configuration
• Kubernetes manifests
• CI/CD pipelines
• Cloud troubleshooting

Practical
• Generate AWS configuration
• Generate Azure configuration
• Generate GCP configuration
• Generate Terraform
• Generate Kubernetes manifests

MODULE 15 – Security with GitHub Copilot

• Secure coding
• Security-aware prompting
• Vulnerability identification
• Dependency vulnerabilities
• Secrets management
• Authentication
• Authorization
• Input validation
• SQL injection
• XSS
• CSRF
• Secure APIs

Security Tools
• GitHub Code Scanning
• Dependabot
• Secret scanning
• CodeQL

MODULE 16 – Responsible AI & Copilot Governance

• AI ethics
• Responsible AI
• Human review
• AI-generated code validation
• Privacy considerations
• Intellectual-property considerations
• Security considerations
• Sensitive information handling
• Organizational policies
• AI governance
• Developer accountability

MODULE 17 – Enterprise GitHub Copilot

• Enterprise Copilot concepts
• Organization management
• User management
• Policies
• Permissions
• Licensing
• Usage monitoring
• Adoption strategies
• Developer productivity
• Governance
• Security
• Enterprise rollout

Enterprise Scenario

Organization → Teams → Policies → Copilot → Development → Security →Monitoring

MODULE 18 – Advanced Copilot Development Workflows

• Copilot-assisted architecture
• Repository-level context
• Large codebase analysis
• Legacy modernization
• Microservices development
• API development
• Full-stack development
• Test automation
• Documentation automation
• DevOps automation

MODULE 19 – Copilot for Different Developer Roles

Software Developer
• Code generation
• Debugging
• Refactoring
• Testing

DevOps Engineer
• YAML
• Docker
• Kubernetes
• Terraform
• CI/CD

Cloud Engineer
• Cloud CLI
• IaC
• Automation
• Troubleshooting

QA Engineer
• Test generation
• Automation
• Test-data generation

Security Engineer
• Secure coding
• Code analysis
• Security remediation

Data Engineer
• SQL
• Python
• PySpark
• ETL scripts

5. HANDS-ON LABS

30+ Practical Labs
1. GitHub Repository Creation
2. Copilot Account Configuration
3. VS Code Copilot Setup
4. Inline Code Completion
5. Generate Python Functions
6. Generate Java Classes
7. Generate JavaScript Functions
8. Generate REST API
9. Generate SQL Queries
10. Explain Existing Code
11. Debug Python Application
12. Debug Java Application
13. Refactor Legacy Code
14. Optimize Application Code
15. Generate Unit Tests
16. Generate Integration Tests
17. Generate Test Data
18. Generate Documentation
19. Generate README
20. Generate API Documentation
21. Copilot Chat Development
22. Copilot CLI
23. Generate Shell Scripts
24. GitHub Actions Workflow
25. Dockerfile Generation
26. Kubernetes YAML Generation
27. Terraform Code Generation
28. Secure-Code Analysis
29. Legacy Application Modernization
30. Enterprise Copilot Workflow

6. ASSIGNMENTS

40+ Job-Oriented Assignments
1. Create a GitHub repository
2. Configure Copilot
3. Generate Python functions
4. Generate Java classes
5. Generate REST API
6. Generate SQL queries
7. Explain legacy code
8. Refactor duplicate code
9. Optimize inefficient code
10. Generate unit tests
11. Generate negative test cases
12. Generate API tests
13. Generate documentation
14. Generate README
15. Create shell scripts
16. Debug application errors
17. Analyze stack traces
18. Fix dependency errors
19. Create GitHub Actions workflow
20. Generate Dockerfile
21. Generate Kubernetes deployment
22. Generate Terraform configuration
23. Generate CI/CD pipeline
24. Generate API authentication
25. Secure an application
26. Identify SQL injection
27. Fix XSS vulnerability
28. Improve input validation
29. Generate database scripts
30. Generate ETL code
31. Generate Python automation
32. Generate test automation
33. Analyze legacy application
34. Modernize legacy code
35. Generate microservice
36. Generate cloud automation
37. Generate monitoring script
38. Generate troubleshooting script
39. Create enterprise development workflow
40. Prepare Copilot implementation strategy

7. MINI PROJECTS

Mini Project 1 – AI-Assisted Python Automation Platform

Build Python automation scripts using GitHub Copilot for:
• File processing
• API integration
• Logging
• Error handling
• Unit testing

Mini Project 2 – Copilot-Assisted REST API

Build a REST API with:
• Authentication
• CRUD
• Database
• Validation
• Testing
• Documentation

Mini Project 3 – AI-Assisted DevOps Pipeline

Build:
GitHub → GitHub Actions → Docker → Kubernetes
with Copilot assistance.

Mini Project 4 – Legacy Application Modernization
• Analyze legacy code
• Identify technical debt
• Refactor
• Generate tests
• Improve documentation

Mini Project 5 – AI-Assisted Test Automation

Build an automated testing framework using:
GitHub Copilot + Playwright + JavaScript/TypeScript

8. CAPSTONE PROJECT

Enterprise AI-Assisted Software Development Platform Using GitHub Copilot

Architecture

Developer → GitHub Copilot → GitHub Repository → GitHub Actions → Build → Test → Security Scan → Docker → Kubernetes → Deployment

Project Components
• GitHub repository
• Branching strategy
• Pull Requests
• Copilot-assisted development
• Application development
• Unit testing
• API testing
• Code review
• GitHub Actions
• Docker
• Kubernetes
• Terraform
• Security scanning
• Documentation
• Monitoring
• Production deployment

Capstone Deliverables
• Source code
• Architecture diagram
• CI/CD pipeline
• Test suite
• Security report
• Documentation
• Deployment configuration
• Troubleshooting guide
• Project presentation

9. REAL-TIME JOB-ORIENTED SCENARIOS

1. Developer needs to understand an unfamiliar codebase.
2. Generate a new REST API from requirements.
3. Fix production application errors.
4. Refactor legacy application code.
5. Improve application performance.
6. Generate unit tests for existing code.
7. Increase test coverage.
8. Generate API documentation.
9. Generate GitHub Actions pipeline.
10. Create Dockerfile.
11. Generate Kubernetes manifests.
12. Generate Terraform infrastructure.
13. Troubleshoot CI/CD failures.
14. Analyze stack traces.
15. Convert code from one language to another.
16. Generate SQL queries.
17. Optimize SQL queries.
18. Identify security vulnerabilities.
19. Fix insecure authentication.
20. Modernize legacy applications.
21. Generate automation scripts.
22. Create cloud deployment scripts.
23. Generate monitoring scripts.
24. Analyze pull-request changes.
25. Create developer documentation.

10. TROUBLESHOOTING SCENARIOS

• Copilot suggestions not appearing
• Copilot authentication issues
• IDE extension problems
• Incorrect code generation
• Hallucinated APIs
• Incorrect library usage
• Generated code compilation failure
• Dependency conflicts
• Runtime errors
• Unit-test failures
• Incorrect test assumptions
• GitHub Actions failures
• Docker build failures
• Kubernetes deployment errors
• Terraform errors
• API authentication failures
• SQL query errors
• Security vulnerabilities in generated code
• Excessive or irrelevant suggestions
• Copilot context limitations

11. INDUSTRY TOOLS

Development
• GitHub
• Git
• GitHub Copilot
• GitHub Copilot Chat
• GitHub Copilot CLI
• VS Code
• Visual Studio
• JetBrains IDEs
• GitHub Codespaces

Programming
• Python
• Java
• JavaScript
• TypeScript
• C#
• C++

DevOps
• GitHub Actions
• Docker
• Kubernetes
• Terraform

Testing
• Playwright
• PyTest
• JUnit
• Jest
• NUnit

Security
• CodeQL
• Dependabot
• GitHub Code Scanning
• GitHub Secret Scanning

12. BEST PRACTICES

• Always review AI-generated code.
• Never blindly accept Copilot suggestions.
• Validate generated APIs and libraries.
• Follow secure coding standards.
• Never expose credentials or secrets.
• Use meaningful prompts.
• Provide sufficient context.
• Write tests for generated code.
• Perform code reviews.
• Validate performance.
• Follow organizational AI policies.
• Use least-privilege access.
• Maintain documentation.
• Use Git branching strategies.
• Integrate security into CI/CD.
• Keep humans accountable for production decisions.

13. CERTIFICATION

Primary Certification

GitHub Copilot Certification – GH-300

Related Certification

GitHub Foundations – GH-900

Recommended Supporting Certifications
• GitHub Actions / DevOps-related credentials
• Cloud certifications
• Kubernetes certifications
• Terraform certifications
• Security certifications

Target Certification: GH-300 – GitHub Copilot

14. MOCK INTERVIEWS

5+ Mock Interviews
• GitHub Copilot fundamentals
• Copilot Chat
• Prompt engineering
• AI-assisted coding
• Debugging
• Testing
• Security
• DevOps
• Real-time scenarios
• HR interview

15. RESUME PREPARATION

• ATS-friendly resume
• GitHub Copilot skills
• AI-assisted development projects
• GitHub portfolio
• Project descriptions
• Technical keywords
• LinkedIn profile optimization
• Certification positioning

16. PLACEMENT ASSISTANCE

• Job-oriented preparation
• Interview question bank
• Technical interview preparation
• Scenario-based interviews
• Mock interviews
• Resume preparation
• LinkedIn optimization
• Job application guidance
• Employer-specific preparation
• Placement assistance

🎯 TARGET JOB ROLES

After completing GH-300 GitHub Copilot training, learners can position themselves for
roles such as:
• AI-Assisted Software Developer
• Software Developer
• Full Stack Developer
• Python Developer
• Java Developer
• .NET Developer
• DevOps Engineer
• Cloud Engineer
• Platform Engineer
• DevSecOps Engineer
• QA Automation Engineer
• AI-Assisted Test Automation Engineer
• Developer Productivity Engineer
• GitHub Administrator
• GitHub/DevOps Engineer
• Software Engineering Productivity Specialis

Enquire Now

Why Radical Technologies

Live Online Training

Highly practical oriented training

Installation of Software On your System

24/7 Email and Phone Support

100% Placement Assistance until you get placed

Global Certification Preparation

Trainer Student Interactive Portal

Assignments and Projects Guided by Mentors

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches

80:20 Practical and Theory Ratio

Real-life Case Studies

Easy Coverup if you missed any sessions

PSI | Kryterion | Redhat Test Centers

Life Time Video Classroom Access ( coming soon )

Resume Preparations and Mock Interviews

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Self Paced Training

Self Paced Learning

Learn 300+ Courses at Your Own Time

50000+ Satisfied Learners

Course Completion Certificate

Practical Labs Available

Mentor Support Available

Doubt Clearing Session Available

Attend Our Virtual Job Fair

10% Discounted Global Certification

Course completion certificate and Global Certifications are part of our all Master Program

Like the Curriculum ? Let's Get Started

Global Certification

Radical Technologies is the leading IT certification institute in Bangalore, offering a wide range of globally recognized certifications across various domains. With expert trainers and comprehensive course materials, it ensures that students gain in-depth knowledge and hands-on experience to excel in their careers. The institute’s certification programs are tailored to meet industry standards, helping professionals enhance their skillsets and boost their career prospects. From cloud technologies to data science, Radical Technologies covers it all, empowering individuals to stay ahead in the ever-evolving tech landscape. Achieve your professional goals with certifications that matter.

Discount Voucher

"Register Now to Secure Your Spot in Our Featured Course !"

BOOK HERE

career services

Job Assistance
Interview Preparation
Profile Buliding

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.

At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.

Radical Learning Eco-System

Exam simulator

Cloud SandBox

Hands - on Cloud Lab

Developer Coding Ground

Testimonials

Play

Our Alumni

Online Batches Available for the Areas

GH-300 – GitHub Copilot Certification With Training In Bangalore

Q: 2. PREREQUISITES

Technical Prerequisites • Basic programming knowledge • Any one programming language: o Python o Java o JavaScript / TypeScript o C# o C++ • Basic Git knowledge • Basic GitHub knowledge • Understanding of source-code repositories • Basic command-line knowledge • Basic software-development lifecycle knowledge Recommended • VS Code knowledge • Git branching and pull requests • Basic REST API concepts • Basic debugging knowledge No prior Generative AI expertise is required.

Q: 3. FUNDAMENTALS

GitHub Fundamentals • Git vs GitHub • Repository concepts • Branches • Commits • Pull Requests • Issues • Code Reviews • GitHub Actions overview • GitHub organizations • Repository permissions Generative AI Fundamentals • What is Generative AI? • Large Language Models • Tokens • Context windows • Prompts • AI-generated code • AI-assisted development • Hallucinations • AI limitations • Human-in-the-loop development GitHub Copilot Fundamentals • What is GitHub Copilot? • How Copilot works • Copilot architecture concepts • Copilot-supported development workflows • Copilot suggestions • Inline code completion • Copilot Chat • Context-aware assistance • Copilot interaction models

Q: MODULE 4 – Prompt Engineering for GitHub Copilot

Prompt Fundamentals • Effective prompts • Context-aware prompts • Role-based prompting • Task-based prompting • Constraint-based prompting • Structured prompts • Iterative prompting Developer Prompting • Generate code • Explain code • Refactor code • Optimize code • Debug code • Generate tests • Generate documentation • Convert code • Review code Advanced Prompting • Multi-step prompts • Context management • Providing requirements • Providing technical constraints • Error-driven prompting • Repository-aware prompting

At Radical Technologies, we are committed to providing world-class Azure Data Engineer Training in Bangalore, helping aspiring data professionals master the skills needed to excel in the rapidly growing field of cloud data engineering. As the leading institute for Azure Data Engineer Course In Bangalore, we offer comprehensive, hands-on training designed to meet the demands of today’s data-driven organizations.

Our Azure Data Engineer Training Bangalore program covers every aspect of the Azure Data Engineer Syllabus, ensuring that students receive in-depth knowledge of data architecture, data processing, and data storage on Microsoft Azure. Whether you prefer attending classes in-person or via Azure Data Engineer Online Training, Radical Technologies provides flexible learning options to suit your needs.

Our Azure Data Engineering Training is renowned for its practical, real-world approach. Students have access to an industry-leading Azure Data Engineer Bootcamp, which combines theory and hands-on labs to ensure they are fully prepared for their certification exams. The Microsoft Azure Data Engineer Training is tailored to cover all key topics, from data integration to security, and is led by experienced professionals who are experts in their field.

For professionals and organizations seeking Azure Data Engineering Corporate Training, we offer tailored courses that address specific business needs. Our Azure Data Engineering Corporate Training Course ensures that teams gain practical experience in building scalable, secure, and efficient data solutions on Azure.

At Radical Technologies, our Azure Data Engineer Courses are structured to ensure that both beginners and experienced professionals alike can enhance their knowledge. The Azure Data Engineer Certification Training offered here equips students with the skills and credentials needed to stand out in a competitive job market.

Our institute also offers the Azure Data Engineer Full Course, which provides a comprehensive pathway for mastering Azure Data Engineering concepts and techniques. We take pride in being one of the top Azure Data Engineer Institutes in Bangalore, with a proven track record of helping students achieve their Azure Data Engineering Certification.

Whether you are looking for Azure Data Engineer Training Online or prefer our in-person classes in Bangalore, Radical Technologies is your trusted partner for career advancement in data engineering. Join us today to enroll in the Best Azure Data Engineer Course and kick-start your journey towards becoming a certified data engineer.