Gh-300 Github Copilot: Ai-Powered Development
Published 4/2026
Created by Sandeep Soni
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 25 Lectures ( 8h 54m ) | Size: 6.2 GB
✓ Understand how GitHub Copilot works
✓ Use Copilot to generate and optimize code
✓ Write effective prompts for AI-assisted coding
✓ Automate repetitive coding tasks
✓ Use Copilot for debugging and refactoring
✓ Generate documentation and test cases
✓ Apply Copilot in real-world development workflows
✓ Understand limitations and risks of AI-generated code
✓ Follow best practices for responsible AI usage
✓ Improve overall developer productivity
Requirements
● Basic understanding of programming concepts
● Familiarity with any programming language (Python, C#, JavaScript, etc.)
● Basic knowledge of development environments (IDE or code editor)
Description
This course provides a comprehensive introduction to AI-assisted software development using GitHub Copilot, designed for developers, DevOps engineers, and IT professionals looking to improve productivity and code quality using modern AI tools.
As AI becomes an integral part of software development, tools like GitHub Copilot are transforming how developers write, review, and optimize code. In this course, you will learn how to effectively use Copilot to generate code, automate repetitive tasks, and accelerate development workflows across different programming environments.
You will begin by understanding the fundamentals of AI-assisted development and how GitHub Copilot works, including how it integrates with development environments and supports various programming languages. You will then learn how to write effective prompts, generate accurate code suggestions, and refine outputs to match real-world requirements.
The course also focuses on practical development scenarios, including debugging, refactoring, documentation generation, and improving code quality using Copilot. You will explore how teams use Copilot in collaborative environments, along with best practices for maintaining code standards and security.
In addition, the course covers responsible AI usage, limitations of AI-generated code, and strategies for validating outputs in professional environments.
By the end of this course, you will be able to use GitHub Copilot effectively in real-world development workflows, making it highly valuable for professionals and organizations adopting AI-powered development tools.
Who this course is for
■ Software Developers
■ DevOps Engineers
■ Cloud EngineersCloud Engineers
■ Students learning modern development tools
■ IT professionals adopting AI-powered workflows
Gh-300 Github Copilot: Ai-Powered Development
