AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

Name: AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Rating: 4.5 (7287 reviews)

Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding

Created byAcademind by Maximilian Schwarzmüller, Maximilian Schwarzmüller

Last updated 1/2026

English

What you'll learn

Use GitHub Copilot to write, test and improve code with AI suggestions
Configure and fine-tune GitHub Copilot chat for your requirements as a developer
Generate and enhance code with Cursor AI
Use Cursor AI smart suggestions, completions, Composer and chat
Plan projects and create assets with ChatGPT or other external AI services
Understand prompt engineering essentials to get the most accurate AI outputs
Build a complete demo project (REST API) leveraging GitHub Copilot, Cursor AI and ChatGPT

Course content

7 sections • 147 lectures • 8h 2m total length

Welcome To The Course!2:09
Course Overview: What You'll Learn & Achieve1:56
Course Focus: AI Programming Tools & Beyond1:46
Understanding AI: Limitations, Costs & Unpredictability2:19
AI Tools For Developers - An Overview2:57
Prompt & Context Engineering Recommendations1:42
Join The Academind Community0:25

Module Introduction0:39
GitHub Copilot Setup1:36
Working With AI-powered Completions3:20
Using Smart Context Actions0:54
Changing the Completions Model0:42
Onwards To Chat & Agents1:21
Using "Inline" and "Quick Chat"3:45
Using Inline Chat In The Terminal0:11
Configuring Copilot Models & Features (Account Level)1:39
Tweaking Copilot-related Editor Settings1:46
Using "Ask" Mode (When & How)4:32
Using "Plan" Mode & Configuring Tools5:59
Using "Agent" Mode & Controlling Permissions2:56
Building Custom Agents & Combining Agents3:55
Create and configure custom agents, set tools and permissions, and enable agent collaboration to read code, perform web search, gather docs, evaluate Faker best practices, and edit files.
Configuring Chat & Sessions1:38
Safe Usage via Checkpoints1:43
Prompt & Context Engineering Essentials2:15
Context Engineering In Action5:35
Exploring Background & Cloud Agents4:38
Using Prompt Files2:46
Using Built-in Commands0:47
More Smart Actions0:49
Utilizing Instruction Files3:13
Understanding AGENTS.MD1:41
Working With Agent Skills3:19
More on Tools & MCP2:49
--- LEGACY CONTENT BELOW ---0:09
Introducing GitHub Copilot1:30
GitHub Copilot: AI Code Completion For Developers3:00
Installing & Setting Up GitHub Copilot4:24
Using AI Powered Code Suggestions To Write Code5:35
Using "Next Edit" Suggestions3:57
Mastering Prompts: Using Comments To Guide Github Copilot's AI4:59
Writing A Full Python Script With Suggestions10:54
Using The Inline Chat Feature To Add Error Handling7:05
Configuring GitHub Copilot: Tips For Efficient Use5:39
Taking Advantage of "Code Actions"2:11
Exploring The Sidebar Chat For More Complex Tasks5:02
Adding Context: Using References & Shortcuts For Smarter Code Creation4:28
Adding Additional Participants For Enhanced Sidebar Chat Context4:33
Running Terminal Commands Efficiently With AI3:59
Mastering GitHub Copilot Slash Commands: Explain, Fix & More3:38
Multi-File Edits with "Copilot Edits"3:14
Using "Agent Mode"0:58
Automating Unit Test Generation For Selected Code Sections2:14
Creating New Projects With The /new Command1:58
Prompt Engineering Essentials: Guidelines & Best Practices3:48
How Being Specific & Adding Context Improves AI Code Generation Efficiency6:06
Validating Input With GitHub Copilot Sidebar Chat7:05
Effective Iteration: Balancing AI & Manual Coding3:17
GitHub Copilot Extensions2:48

Module Introduction0:48
What Is Cursor?1:22
Pricing & Privacy2:25
Settings Overview3:15
Tab, Tab, Tab1:06
Using Tab Completion Efficiently4:43
Tab-Completion Settings1:06
Comment-based Prompting0:51
Inline Edits & Chatting3:09
Inline Explanations0:46
Inline Chats For Full-File Edits1:47
Explore inline chats for full-file edits, switching between selection edits and full-file checks, renaming functions across a file, and reviewing line-by-line or all-at-once changes.
Generating Terminal Commands2:18
Cursor Chat / Agent Introduction3:24
Selecting Models2:02
Using "Ask" Mode1:59
Using "Agent" Mode4:32
Other Modes1:22
Using Cursor Checkpoints2:00
Queueing Messages2:04
Wrap Up0:19

Module Introduction0:59
Understanding Context Engineering3:30
Getting Started with AI Agents5:18
Using "Plan" & "Agent" Mode6:01
Checking & Editing AI Generated Plans4:47
Advanced Context Engineering7:22
Learn how to migrate to the OpenAI responses API and teach Cursor to use a new context window, add file references, and leverage web search to craft more effective prompts.
Don't Outsource Everything To AI1:52
Using "Ask" Mode Efficiently1:31
Using Cursor's Agent Layout4:28
Reverting AI Agent Changes3:42
Using Cursor Rules & AGENTS.MD6:35
Letting AI Use Tools5:49
Working With MCP Servers3:01
Cursor Memories & Custom Commands2:45
Using the cursorignore File0:57

LEGACY SECTION0:08
Introducing Cursor AI1:14
What Is Cursor AI & How It Enhances Developer Productivity4:41
Prerequisites For Using Cursor: What You Need To Know1:31
Getting Started With Cursor’s Auto-Suggestions3:07
Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab3:10
Fixing Code On The Fly With Cursor's AI-Powered Suggestions2:39
Using Comments As Prompts To Guide Cursor’s Code Generation2:41
Debugging Errors In The Terminal1:57
Understanding Cursor's Inline Chat Feature2:18
Leveraging The Docs Integration For Better Code Generation3:19
Generating Terminal Commands With The Inline-Chat1:09
Explaining Selected Code Snippets With The Quick Question Mode1:29
Enhancing The Workflow With The External Sidebar Chat Window4:30
Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode9:56
Understanding "Auto Run" (Yolo) Mode2:00
An Introduction To MCP Servers3:03
Cursor AI Features Round-Up: Tests, Code Fixes & More0:53

GitHub Copilot & Cursor Versions0:14
A Full Demo Project: Overview2:41
The REST API: Application Requirements Overview2:13
Planning the Application Structure with ChatGPT5:54
Setting Up the Project in Cursor AI5:34
Writing User Registration & Login Code with Cursor Composer4:14
Providing Follow-Up Feedback To Cursor Composer7:14
Connecting to A SQLite Database with Cursor's Sidebar Chat7:29
Tweaking AI-Generated Code2:28
Using Inline Chat For Editing Validation Code5:16
Testing the REST API With Postman4:25
Encrypting User Passwords With bcryptjs7:28
Debugging the App With The AI Chat5:08
Use ai chat to debug an app, fix errors like verify user credentials being undefined by adding the proper import, and apply await to signup to obtain actual user data.
Adding Authentication with JSON Web Tokens7:23
Adding Event Specific Routes With GitHub Copilot Inline Chat3:01
Creating, Editing & Deleting Events With Copilot's Sidebar Chat4:25
Creating & Exporting Reusable Model Functions For Event Management4:36
Testing & Debugging The App3:01
Implementing & Testing Validation With The Inline Chat4:01
Protecting Event Routes With User Authentication3:25
Protect event routes by parsing the bearer token from authorization header with verifyToken and storing the user's id and email on the request, so only authenticated users can access them.
Testing Authentication6:23
Adding Role Based Authorization To The Update & Delete Routes7:25
Testing Authorization2:38
Adding POST Routes with Suggestions For Registering & Unregistering Events3:54
Testing & Fixing Event Registration & Unregistration5:10
Integrating Image Upload Functionality With The Multer Package9:08
Finishing & Testing The Image Upload Feature5:59
Adding Frontend Applications To The REST API with the CORS Package3:43
Conclusion & Next Steps2:51

Requirements

Basic understanding of programming concepts is required
Familiarity with GitHub is recommended but not required
No prior AI experience necessary to succeed in this course

Description

Jan 2026: Course updated with brand-new sections on GitHub Copilot & Cursor

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This is THE course developers should take to leverage AI efficiently!

AI is not a threat - it’s an incredibly powerful tool that can help you become an even more efficient and productive developer. While AI can generate code snippets and assist with routine tasks, it still needs your developer knowledge to create safe, reliable and complex applications. This course is all about teaching you how to combine your developer skills with AI tools to boost your developer productivity.

By learning how to use AI tools like GitHub Copilot and Cursor AI efficiently, you can make routine coding tasks faster and easier, leaving you more time to focus on the most important and creative aspects of development. This course shows you exactly how to do that.

You’ll discover how to integrate AI seamlessly into your workflow, ensuring that it complements your knowledge without replacing the essential role you play as a developer. AI is here to enhance, not replace, your skills.

Through practical demos with GitHub Copilot, Cursor AI and external services like ChatGPT, you’ll learn how to leverage AI to improve your coding speed, enhance productivity, and solve complex challenges more efficiently. Whether you’re just starting out or already have experience, this course will teach you how to use these tools to your advantage.

What’s in this course?

Introduction to GitHub Copilot: Learn what GitHub Copilot is. Explore its core features like code suggestions, chat and contextual code assistance.
Advanced GitHub Copilot Usage: Dive into more advanced features such as generating unit tests, configuring chat settings and understanding how to prompt the AI for more complex tasks.
Mastering Cursor AI: Discover how Cursor helps with code completion, chat, Cursor Composer and smart suggestions to make coding faster and more intuitive.
External AI Tools: Learn how to integrate external services like ChatGPT into your workflow to streamline tasks like project planning, researching and even asset generation.
Real-World Practice Project: I’ll walk you through creating a REST API from scratch using AI tools. From planning and structuring the app to generating code, implementing features and fixing errors, you’ll see how AI tools can assist every step of the way.
Prompt Engineering Essentials: Learn how to fine-tune your prompts to get the best outputs from AI, helping you avoid common pitfalls and optimize efficiency.
Debugging and Troubleshooting with AI: See how AI tools can assist with error detection, fixing bugs and improving your code’s overall quality.

This course is short, practical, and straight to the point, designed to equip you with everything you need to start boosting your productivity right away.

I think the future of development is about collaboration between AI and developers—and this course teaches you the tools you need to do so.

Check out the full curriculum, watch the free preview videos and enrol now to take your coding efficiency to the next level with AI!

Who this course is for:

Developers looking to boost productivity with GitHub Copilot, Cursor and other AI tools
Anyone curious about AI-driven development and seeking hands-on experience with real projects

AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

What you'll learn

Explore related topics

Course content

Getting Started7 lectures • 13min

Leverage GitHub Copilot Suggestions & Chat51 lectures • 2hr 47min

Cursor Basics20 lectures • 41min

Cursor Advanced15 lectures • 59min

Introducing Cursor AI: Smart Suggestions, Chat and Composer18 lectures • 50min

ChatGPT Or Other External AI Services: Use-Cases During Development7 lectures • 15min

Practice Project: Creating a REST API with AI29 lectures • 2hr 17min

Requirements

Description

Who this course is for: