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Prompt Engineering | GitHub Copilot vs CursorAI vs OpenAI
Published 12/2025
Duration: 1h 41m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 728.24 MB
Genre: eLearning | Language: English
Learn how to use prompt engineering effectively and Learn AI-assisted Development with GitHub Copilot, CursorAI, OpenAI
What you'll learn
- Apply prompt engineering techniques to generate accurate and maintainable code
- Understand the fundamentals of AI-assisted software development
- Use GitHub Copilot to write code faster and reduce repetitive tasks
- Work effectively with Cursor AI for code exploration, refactoring, and multi-file changes
- Use ChatGPT and OpenAI tools for planning, debugging, and explaining code
- Build efficient AI-assisted development workflows across the software lifecycle
- Generate clean, secure, and high-quality code using AI responsibly
- Analyze and understand large or unfamiliar codebases using AI tools
- Perform AI-assisted testing, debugging, and performance optimization
- Compare GitHub Copilot, Cursor AI, and OpenAI to choose the right tool for each task
- Follow best practices for security, privacy, and ethical AI usage
- Improve developer productivity without losing core programming fundamentals
- Apply AI tools in real-world development scenarios and projects
- Prepare for modern software engineering roles that leverage AI tools
Requirements
- Basic knowledge of software development concepts such as functions, variables, and APIs
- Willingness to learn and experiment with modern AI-powered development workflows
- A computer with internet access to install development tools and AI assistants
- Familiarity with writing and reading code in an IDE or code editor
Description
AI is transforming the way software is built - and developers who know how to work with AI tools are becoming faster, more productive, and more valuable in the industry.
This course is designed to help youmaster AI-assisted software developmentusing modern tools such asGitHub Copilot, Cursor AI, and OpenAI (ChatGPT). Instead of treating AI as a shortcut or replacement, you'll learn how to use itresponsibly and effectivelyas a development partner across the entire software lifecycle.
You'll start by understanding how AI coding tools work, including large language models and prompt-based development. From there, you'll learn how to write better prompts, generate clean and maintainable code, refactor large codebases, debug issues faster, and improve testing and documentation using AI.
This course goes beyond simple code generation. You'll seereal-world workflowswhere AI is used for application design, rapid prototyping, implementation, testing, debugging, code review, and optimization. You'll also learn how to choose the right tool for the right task by comparing GitHub Copilot, Cursor AI, and OpenAI, and combining them into a powerful multi-tool workflow.
Security, ethics, and best practices are a core focus of this course. You'll understand the risks of AI-generated code, how to protect sensitive data, and how to maintain strong coding fundamentals while benefiting from AI productivity gains.
By the end of this course, you'll have the confidence to use AI tools in professional projects, improve development speed without sacrificing quality, and prepare yourself for the future of AI-driven software engineering.
What you'll gain from this course
Practical, real-world AI-assisted development skills
Clear understanding of when and how to use each AI tool
Faster coding, testing, and debugging workflows
Confidence to use AI responsibly in professional environments
Why take this course?
AI is no longer optional in modern software development. This course helps you stay relevant, competitive, and future-ready by teaching youhow to work with AI - not be replaced by it.
Who this course is for:
- Software developers who want to increase productivity using AI-assisted coding tools
- Beginner to intermediate programmers looking to learn how to use GitHub Copilot, Cursor AI, and ChatGPT effectively
- Backend, frontend, and full-stack developers interested in modern AI-driven development workflows
- QA engineers, automation testers, and technical professionals transitioning into development roles
- Students and fresh graduates preparing for AI-powered software engineering careers
- Developers working with large or unfamiliar codebases who want faster understanding and refactoring
- Tech professionals curious about responsible and ethical use of AI in software development
More Info
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