DEVOPS

★★★★★

(2,095 ratings) 50,000+ Student

GH-300 – GITHUB COPILOT

Radical Technologies

50,000+ English 40 Hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 40 Hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

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What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

17 sections covering the complete curriculum — a single, progressive learning arc.

40 Hours

Training Duration

Core Modules

603

Total Lessons

4.7★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a DEVOPS role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

17 sections • 603 lessons • 40 Hours

Jump to Section

Total Duration

40 Hours

100% Practical · Unlimited Doubt Sessions

01 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

02 PREREQUISITES

Technical Prerequisites

Basic programming knowledge

• Any one programming language:

Python

Java

JavaScript / TypeScript

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.

03 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

04 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

05 HANDS-ON LABS

30+ Practical Labs

GitHub Repository Creation

Copilot Account Configuration

VS Code Copilot Setup

Inline Code Completion

Generate Python Functions

Generate Java Classes

Generate JavaScript Functions

Generate REST API

Generate SQL Queries

Explain Existing Code

Debug Python Application

Debug Java Application

Refactor Legacy Code

Optimize Application Code

Generate Unit Tests

Generate Integration Tests

Generate Test Data

Generate Documentation

Generate README

Generate API Documentation

Copilot Chat Development

Copilot CLI

Generate Shell Scripts

GitHub Actions Workflow

Dockerfile Generation

Kubernetes YAML Generation

Terraform Code Generation

Secure-Code Analysis

Legacy Application Modernization

Enterprise Copilot Workflow

06 ASSIGNMENTS

40+ Job-Oriented Assignments

Create a GitHub repository

Configure Copilot

Generate Python functions

Generate Java classes

Generate REST API

Generate SQL queries

Explain legacy code

Refactor duplicate code

Optimize inefficient code

Generate unit tests

Generate negative test cases

Generate API tests

Generate documentation

Generate README

Create shell scripts

Debug application errors

Analyze stack traces

Fix dependency errors

Create GitHub Actions workflow

Generate Dockerfile

Generate Kubernetes deployment

Generate Terraform configuration

Generate CI/CD pipeline

Generate API authentication

Secure an application

Identify SQL injection

Fix XSS vulnerability

Improve input validation

Generate database scripts

Generate ETL code

Generate Python automation

Generate test automation

Analyze legacy application

Modernize legacy code

Generate microservice

Generate cloud automation

Generate monitoring script

Generate troubleshooting script

Create enterprise development workflow

Prepare Copilot implementation strategy

07 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

08 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

09 REAL-TIME JOB-ORIENTED SCENARIOS

Developer needs to understand an unfamiliar codebase.

Generate a new REST API from requirements.

Fix production application errors.

Refactor legacy application code.

Improve application performance.

Generate unit tests for existing code.

Increase test coverage.

Generate API documentation.

Generate GitHub Actions pipeline.

Create Dockerfile.

Generate Kubernetes manifests.

Generate Terraform infrastructure.

Troubleshoot CI/CD failures.

Analyze stack traces.

Convert code from one language to another.

Generate SQL queries.

Optimize SQL queries.

Identify security vulnerabilities.

Fix insecure authentication.

Modernize legacy applications.

Generate automation scripts.

Create cloud deployment scripts.

Generate monitoring scripts.

Analyze pull-request changes.

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++

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

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

17 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

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

603+

Hands-On Lessons

Core Modules

40 Hours

Training Duration

100%

Practical Training

You don't just learn GH-300 – GITHUB COPILOT. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

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 personalised 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.

Career Support

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.7★

Average learner rating

50K+

Students trained

30+

Hiring companies alumni work at

100%

Placement assistance

4.7

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Course Rating

★★★★★

79%

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16%

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GH-300 – GITHUB COPILOT TRAINING PROGRAM

GH-300 – GitHub Copilot 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. <B> 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 </B>