AI For Developers With GitHub Copilot, Cursor AI & ChatGPT Course Syllabus

Overview: This comprehensive course equips developers with hands-on experience using GitHub Copilot, Cursor AI, and ChatGPT to streamline coding, testing, refactoring, and documentation workflows. Structured into six focused modules, the course blends tool-specific training with integrated AI practices, emphasizing prompt engineering and automation. With approximately 5 hours of total content, learners will gain practical skills through real-world coding scenarios and workflows designed to boost productivity and code quality.

Module 1: Introduction & Setup

Estimated time: 0.75 hours

• Install and configure GitHub Copilot in your IDE
• Set up Cursor AI with proper environment integration
• Access and authenticate ChatGPT for development use
• Explore core AI workflows: code completion, chat interaction, and suggestion accuracy

Module 2: Code Generation & Refactoring

Estimated time: 1 hour

• Generate boilerplate code using AI prompts in GitHub Copilot
• Create feature-specific code with natural language instructions
• Refactor existing codebases for improved readability and performance
• Eliminate code duplication using AI-powered suggestions

Module 3: Unit Testing & Code Reviews

Estimated time: 0.75 hours

• Automate unit test creation with AI across multiple frameworks
• Leverage AI to perform initial code reviews and flag issues
• Enforce coding standards and detect bugs proactively

Module 4: Cursor AI Composer & Chat

Estimated time: 1 hour

• Use Cursor AI’s Composer for multi-file code changes
• Perform large-scale refactoring using context-aware AI editing
• Interact with Cursor's chat mode to debug and clarify logic

Module 5: ChatGPT for Planning & Integration

Estimated time: 0.75 hours

• Brainstorm project structures and architectures using ChatGPT
• Generate technical documentation and comments
• Integrate AI-generated assets into active development workflows

Module 6: Advanced AI Workflows

Estimated time: 1 hour

• Combine GitHub Copilot, Cursor AI, and ChatGPT in end-to-end tasks
• Master prompt engineering for higher-quality AI outputs
• Optimize coding efficiency across planning, implementation, and documentation phases

Prerequisites

• Familiarity with a modern programming language (e.g., JavaScript, Python, or similar)
• Experience working in a code editor or IDE
• Basic understanding of software development lifecycle

What You'll Be Able to Do After

• Leverage GitHub Copilot, Cursor AI, and ChatGPT to write, refactor, and optimize code efficiently
• Automate unit test creation and code review processes to reduce bugs
• Apply prompt-engineering techniques to improve AI suggestion accuracy
• Use Cursor AI’s Composer and chat modes for complex, context-aware edits
• Integrate ChatGPT into project planning, asset creation, and developer workflows