Free Download Prompt Engineering | GitHub Copilot vs CursorAI vs OpenAI
Published 12/2025
Created by Neelam Jain, Sr Software Consultant Tueseon Technologies
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 75 Lectures ( 1h 40m ) | Size: 1.23 GB
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 you master AI-assisted software development using modern tools such as GitHub Copilot, Cursor AI, and OpenAI (ChatGPT). Instead of treating AI as a shortcut or replacement, you'll learn how to use it responsibly and effectively as 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 see real-world workflows where 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 coursePractical, real-world AI-assisted development skillsClear understanding of when and how to use each AI toolFaster coding, testing, and debugging workflowsConfidence to use AI responsibly in professional environmentsWhy take this course?AI is no longer optional in modern software development. This course helps you stay relevant, competitive, and future-ready by teaching you how 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
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