Working developers
You already ship code, but you want AI to make you faster without lowering quality. This course gives you a practical way to integrate AI into your day-to-day development workflow.
AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
Course Overview
About This Course
You’ve probably tried AI coding tools already—gotten a few great snippets, and then hit the frustrating part: the output doesn’t quite fit your codebase, tests are missing, or the “help” creates new bugs. You know there’s real speed here, but you don’t want to trade control and quality for quick suggestions.
In this course, you’ll build a reliable workflow around GitHub Copilot, Cursor AI, and external tools like ChatGPT—so AI supports your engineering judgment instead of guessing for you. You’ll see practical demos, learn how to configure chat to match your needs, and use prompt engineering to get accurate, usable results.
By the end, you’ll be able to move from idea to working code faster: generate and refine implementation code, create unit tests, troubleshoot errors with AI assistance, and keep improving code quality as you iterate—without losing the developer-driven structure that makes projects maintainable.
What You'll Learn
You’ll learn a developer-ready workflow that combines GitHub Copilot, Cursor AI (Composer, chat, smart suggestions), and ChatGPT for planning, coding, testing, and debugging.
Copilot coding workflow
Use GitHub Copilot to write, test, and improve code with AI suggestions, turning routine implementation work into a faster loop while keeping your own standards for correctness and safety.
Copilot Chat configuration
Configure and fine-tune GitHub Copilot Chat for your requirements so the assistant responds with the right context, level of detail, and constraints for your codebase and tasks.
Cursor AI generation
Generate and enhance code with Cursor AI, using its completions and smart suggestions to accelerate edits and refactors while staying aligned with the surrounding project structure.
Composer-assisted changes
Use Cursor AI Composer and chat to coordinate larger multi-file changes, so you can move from intent to coherent implementation without manually stitching together scattered snippets.
Prompt engineering essentials
Write prompts that produce more accurate outputs and fewer dead-ends by being explicit about goals, constraints, and expected formats—so AI results are usable, not just impressive.
AI debugging and QA
Leverage AI tools for error detection, bug fixing, and quality improvements, including generating unit tests and iterating on failing behavior until the code is stable and trustworthy.
Ready to get started?
See enrollment optionsPrerequisites
Basic understanding of programming concepts is required.
Familiarity with GitHub is recommended but not required.
No prior AI experience is necessary.
Who Is This Course For?
GitHub Copilot users
You’ve used Copilot suggestions, but you’re not getting consistent results or you’re unsure how to steer it. You’ll learn how to configure chat and use it effectively for real tasks.
AI-curious builders
You’re excited about AI-driven development and want hands-on experience that goes beyond toy examples. You’ll follow a real project flow and see where each tool actually helps.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
Getting Started11m
- 01Welcome To The Course!2:09 min
- 02Course Overview: What You'll Learn & Achieve1:56 min
- 03Course Focus: AI Programming Tools & Beyond1:47 min
- 04Understanding AI: Limitations, Costs & Unpredictability2:19 min
- 05AI Tools For Developers - An Overview2:57 min
- 06Prompt & Context Engineering Recommendations0:00 min
GitHub Copilot Essentials1h 4m
- 01Module Introduction0:39 min
- 02GitHub Copilot Setup1:37 min
- 03Working With AI-powered Completions3:20 min
- 04Using Smart Context Actions0:54 min
- 05Changing the Completions Model0:42 min
- 06Onwards To Chat & Agents1:21 min
- 07Using "Inline" and "Quick Chat"3:45 min
- 08Using Inline Chat In The Terminal0:00 min
- 09Configuring Copilot Models & Features (Account Level)1:39 min
- 10Tweaking Copilot-related Editor Settings1:46 min
- 11Using "Ask" Mode (When & How)4:32 min
- 12Using "Plan" Mode & Configuring Tools5:59 min
- 13Using "Agent" Mode & Controlling Permissions2:56 min
- 14Building Custom Agents & Combining Agents3:55 min
- 15Configuring Chat & Sessions1:38 min
- 16Safe Usage via Checkpoints1:43 min
- 17Prompt & Context Engineering Essentials2:15 min
- 18Context Engineering In Action5:35 min
- 19Exploring Background & Cloud Agents4:38 min
- 20Using Prompt Files2:46 min
- 21Using Built-in Commands0:47 min
- 22More Smart Actions0:49 min
- 23Utilizing Instruction Files3:13 min
- 24Understanding AGENTS.MD1:42 min
- 25Working With Agent Skills3:19 min
- 26More on Tools & MCP2:50 min
- 27Wrap Up0:14 min
Leverage GitHub Copilot Suggestions & Chat1h 41m
- 01LEGACY SECTION0:00 min
- 02GitHub Copilot: AI Code Completion For Developers1:30 min
- 03Introducing GitHub Copilot3:00 min
- 04Installing & Setting Up GitHub Copilot4:24 min
- 05Using AI Powered Code Suggestions To Write Code5:35 min
- 06Using "Next Edit" Suggestions3:57 min
- 07Mastering Prompts: Using Comments To Guide Github Copilot's AI4:59 min
- 08Writing A Full Python Script With Suggestions10:54 min
- 09Using The Inline Chat Feature To Add Error Handling7:05 min
- 10Configuring the Chat: Tips For Efficient Use5:39 min
- 11Taking Advantage of "Code Actions"2:12 min
- 12Exploring The Sidebar Chat For More Complex Tasks5:02 min
- 13Adding Context: Using References & Shortcuts For Smarter Code Creation4:28 min
- 14Adding Additional Participants For Enhanced Sidebar Chat Context4:33 min
- 15Running Terminal Commands Efficiently With AI4:00 min
- 16Master GitHub Copilot Slash Commands: Explain, Fix & More3:38 min
- 17Multi-File Edits with "Copilot Edits"3:15 min
- 18Automating Unit Test Generation For Selected Code Sections2:14 min
- 19Creating New Projects With The /new Command1:58 min
- 20Prompt Engineering Essentials: Guidelines & Best Practices3:48 min
- 21How Being Specific & Adding Context Improves AI Code Generation Efficiency6:06 min
- 22Validating Input With GitHub Copilot Sidebar Chat7:06 min
- 23Effective Iteration: Balancing AI & Manual Coding3:17 min
- 24GitHub Copilot Extensions2:48 min
Cursor Basics41m
- 01What Is Cursor?1:22 min
- 02Module Introduction0:48 min
- 03Pricing & Privacy2:25 min
- 04Settings Overview3:15 min
- 05Tab, Tab, Tab1:06 min
- 06Using Tab Completion Efficiently4:43 min
- 07Tab-Completion Settings1:06 min
- 08Comment-based Prompting0:51 min
- 09Inline Edits & Chatting3:10 min
- 10Inline Explanations0:46 min
- 11Inline Chats For Full-File Edits1:47 min
- 12Generating Terminal Commands2:18 min
- 13Cursor Chat / Agent Introduction3:24 min
- 14Selecting Models2:02 min
- 15Using "Ask" Mode1:59 min
- 16Using "Agent" Mode4:32 min
- 17Other Modes1:22 min
- 18Using Cursor Checkpoints2:00 min
- 19Queueing Messages2:04 min
- 20Wrap Up0:19 min
Cursor Advanced58m
- 01Module Introduction0:59 min
- 02Getting Started with AI Agents3:30 min
- 03Understanding Context Engineering5:18 min
- 04Using "Plan" & "Agent" Mode6:01 min
- 05Checking & Editing AI Generated Plans4:47 min
- 06Advanced Context Engineering7:22 min
- 07Don't Outsource Everything To AI1:52 min
- 08Using "Ask" Mode Efficiently1:31 min
- 09Using Cursor's Agent Layout4:28 min
- 10Reverting AI Agent Changes3:42 min
- 11Using Cursor Rules & AGENTS.MD6:36 min
- 12Letting AI Use Tools5:50 min
- 13Working With MCP Servers3:01 min
- 14Cursor Memories & Custom Commands2:45 min
- 15Using the cursorignore File0:58 min
Introducing Cursor AI: Smart Suggestions, Chat and Composer49m
- 01LEGACY SECTION0:00 min
- 02Introducing Cursor AI1:14 min
- 03What Is Cursor & How It Enhances Developer Productivity4:41 min
- 04Prerequisites For Using Cursor: What You Need To Know1:31 min
- 05Getting Started With Cursor’s Auto-Suggestions3:07 min
- 06Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab3:10 min
- 07Fixing Code On The Fly With Cursor's AI-Powered Suggestions2:39 min
- 08Using Comments As Prompts To Guide Cursor’s Code Generation2:41 min
- 09Debugging Errors In The Terminal1:57 min
- 10Understanding Cursor's Inline Chat Feature2:18 min
- 11Leveraging The Docs Integration For Better Code Generation3:19 min
- 12Generating Terminal Commands With The Inline-Chat1:09 min
- 13Explaining Selected Code Snippets With The Quick Question Mode1:29 min
- 14Enhancing The Workflow With The External Sidebar Chat Window4:30 min
- 15Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode9:56 min
- 16Understanding "Auto Run" (Yolo) Mode2:00 min
- 17An Introduction To MCP Servers3:03 min
- 18Cursor AI Features Round-Up: Tests, Code Fixes & More0:53 min
ChatGPT Or Other External AI Services: Use-Cases During Development14m
- 01Introduction To External AI Services1:41 min
- 02How To NOT Use ChatGPT As A Developer2:27 min
- 03Planning Applications With ChatGPT3:16 min
- 04Researching Development Solutions With External AI Services1:52 min
- 05Using AI For Asset Generation3:01 min
- 06Prompt Engineering: Key Techniques1:46 min
- 07Section Round Up: When To Use External AI Services In Development0:46 min
Practice Project: Creating a REST API with AI2h 17m
- 01GitHub Copilot & Cursor Versions0:00 min
- 02A Full Demo Project: Overview2:41 min
- 03The REST API: Application Requirements Overview2:13 min
- 04Planning the Application Structure with ChatGPT5:54 min
- 05Setting Up the Project in Cursor AI5:34 min
- 06Writing User Registration & Login Code with Cursor Composer4:14 min
- 07Providing Follow-Up Feedback To Cursor Composer7:14 min
- 08Connecting to A SQLite Database with Cursor's Sidebar Chat7:29 min
- 09Tweaking AI-Generated Code2:28 min
- 10Using Inline Chat For Editing Validation Code5:16 min
- 11Testing the REST API With Postman4:25 min
- 12Encrypting User Passwords With bcryptjs7:28 min
- 13Debugging the App With The AI Chat5:08 min
- 14Adding Authentication with JSON Web Tokens7:23 min
- 15Adding Event Specific Routes With GitHub Copilot Inline Chat3:01 min
- 16Creating, Editing & Deleting Events With Copilot's Sidebar Chat4:25 min
- 17Creating & Exporting Reusable Functions For Event Management4:36 min
- 18Testing & Debugging The App3:02 min
- 19Implementing & Testing Validation With The Inline Chat4:01 min
- 20Protecting Event Routes With User Authentication3:25 min
- 21Testing Authentication6:23 min
- 22Adding Role Based Authorization To The Update & Delete Routes7:25 min
- 23Testing Authorization2:38 min
- 24Adding POST Routes with Suggestions For Registering & Unregistering Events3:54 min
- 25Testing & Fixing Event Registration & Unregistration5:10 min
- 26Integrating Image Upload Functionality With The Multer Package9:08 min
- 27Finishing & Testing The Image Upload Feature5:59 min
- 28Adding Frontend Applications To The REST API with the CORS Package3:44 min
- 29Conclusion & Next Steps2:51 min
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