CF

AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

4h 55m 24s
English
Paid

This course is designed for developers who want to effectively leverage AI!

AI is not a threat but a powerful tool that can make you an even more productive developer. While AI can generate code and assist with routine tasks, your knowledge is still necessary to create secure, reliable, and complex applications. This course will teach you how to combine your skills with AI capabilities to boost productivity.

By learning how to use AI tools like GitHub Copilot and Cursor AI, you will be able to perform routine tasks faster and more easily, leaving more time for the most important and creative aspects of development. This course will show you how to do just that.

You will learn to seamlessly integrate AI into your work to complement your knowledge without replacing it. AI is meant to enhance your skills, not replace them.

Through the course, with practical examples using GitHub Copilot, Cursor AI, and external services like ChatGPT, you will learn how to use AI to accelerate code, increase productivity, and solve complex problems. Whether you are a beginner developer or an experienced professional, this course will show you how to apply these tools to maximum benefit.

What Awaits You in This Course?

  • Introduction to GitHub Copilot: Learn the basics of GitHub Copilot, including code suggestions, chat, and contextual hints.
  • Advanced Use of GitHub Copilot: Master more complex features like generating unit tests, chat settings, and prompts for performing complex tasks.
  • Mastering Work with Cursor AI: Discover how Cursor helps accelerate programming with code completion, chat, Cursor Composer, and smart suggestions.
  • External AI Tools: Integration with external services like ChatGPT to simplify planning, research, and even asset generation tasks.
  • Practical Project: Create a REST API from scratch using AI tools. From planning and structuring the application to generating code, implementing features, and fixing errors - you'll see how AI assists at every stage.
  • Basics of Prompt Engineering: Learn how to improve prompts to AI to get accurate responses and increase efficiency.
  • Debugging and Error Correction with AI: Evaluate how AI tools help detect errors, fix bugs, and improve overall code quality.

This course is short, practical, and aimed at equipping you quickly with everything necessary to enhance productivity.

I believe the future of development is a collaboration between AI and developers, and this course provides you with the necessary tools for such interaction.

About the Author: Academind Pro (Maximilian Schwarzmüller)

Academind Pro (Maximilian Schwarzmüller) thumbnail

Academind is the teaching brand of Maximilian Schwarzmüller (Max) and Manuel Lorenz, two German developers whose Udemy catalog has become one of the largest single-instructor presences on that platform. Max in particular is widely cited as one of the clearest teachers of the JavaScript framework landscape — his Angular, React, Vue, and Node.js courses have collectively taught millions of students.

The Academind Pro platform extends beyond Udemy with deeper, more comprehensive courses aimed at developers building real applications rather than picking up syntax. Course material covers the full modern web stack: React (including Next.js), Vue, Angular, Node.js, NestJS, TypeScript, Docker, AWS, React Native, Flutter, and the broader full-stack JavaScript ecosystem.

The CourseFlix listing under this source carries over 25 Academind Pro courses spanning that range. Material is paid; Academind Pro runs on per-course pricing on the original platform. Courses are taught in Max's signature thorough, build-an-application-with-me style — long-form, deeply project-based, and continuously updated as the underlying frameworks evolve.

Watch Online 76 lessons

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 76 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Welcome To The Course!
All Course Lessons (76)
#Lesson TitleDurationAccess
1
Welcome To The Course! Demo
02:10
2
Course Overview: What You'll Learn & Achieve
01:57
3
Course Focus: AI Programming Tools & Beyond
01:48
4
Understanding AI: Limitations, Costs & Unpredictability
02:20
5
GitHub Copilot: AI Code Completion For Developers
01:31
6
Introducing GitHub Copilot
03:01
7
Installing & Setting Up GitHub Copilot
03:42
8
Using AI Powered Code Suggestions To Write Code
05:36
9
Mastering Prompts: Using Comments To Guide Github Copilot's AI
05:00
10
Writing A Full Python Script With Suggestions
10:55
11
Using The Inline Chat Feature To Add Error Handling
05:24
12
Configuring the Chat: Tips For Efficient Use
02:07
13
Taking Advantage of "Code Actions"
02:12
14
Exploring The Sidebar Chat For More Complex Tasks
05:03
15
Adding Context: Using References & Shortcuts For Smarter Code Creation
04:29
16
Adding Additional Participants For Enhanced Sidebar Chat Context
04:34
17
Running Terminal Commands Efficiently With AI
04:01
18
Master GitHub Copilot Slash Commands: Explain, Fix & More
03:39
19
Multi-File Edits with "Copilot Edits"
03:15
20
Automating Unit Test Generation For Selected Code Sections
02:15
21
Creating New Projects With The /new Command
01:59
22
Prompt Engineering Essentials: Guidelines & Best Practices
03:49
23
How Being Specific & Adding Context Improves AI Code Generation Efficiency
06:07
24
Validating Input With GitHub Copilot Sidebar Chat
07:07
25
Effective Iteration: Balancing AI & Manual Coding
03:18
26
GitHub Copilot Extensions
02:49
27
Introducing Cursor AI
01:15
28
What Is Cursor & How It Enhances Developer Productivity
04:42
29
Prerequisites For Using Cursor: What You Need To Know
01:32
30
Getting Started With Cursor’s Auto-Suggestions
03:08
31
Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab
02:57
32
Fixing Code On The Fly With Cursor's AI-Powered Suggestions
02:40
33
Using Comments As Prompts To Guide Cursor’s Code Generation
02:42
34
Debugging Errors In The Terminal
01:58
35
Understanding Cursor's Inline Chat Feature
02:19
36
Leveraging The Docs Integration For Better Code Generation
03:20
37
Generating Terminal Commands With The Inline-Chat
01:10
38
Explaining Selected Code Snippets With The Quick Question Mode
01:30
39
Enhancing The Workflow With The External Sidebar Chat Window
04:31
40
Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode
08:06
41
Cursor AI Features Round-Up: Tests, Code Fixes & More
00:54
42
Introduction To External AI Services
01:42
43
How To NOT Use ChatGPT As A Developer
02:28
44
Planning Applications With ChatGPT
03:17
45
Researching Development Solutions With External AI Services
01:53
46
Using AI For Asset Generation
03:02
47
Prompt Engineering: Key Techniques
01:47
48
Section Round Up: When To Use External AI Services In Development
00:47
49
A Full Demo Project: Overview
02:42
50
The REST API: Application Requirements Overview
02:14
51
Planning the Application Structure with ChatGPT
05:55
52
Setting Up the Project in Cursor AI
05:35
53
Writing User Registration & Login Code with Cursor Composer
04:15
54
Providing Follow-Up Feedback To Cursor Composer
07:15
55
Connecting to A SQLite Database with Cursor's Sidebar Chat
07:30
56
Tweaking AI-Generated Code
02:29
57
Using Inline Chat For Editing Validation Code
05:17
58
Testing the REST API With Postman
04:26
59
Encrypting User Passwords With bcryptjs
07:29
60
Debugging the App With The AI Chat
05:09
61
Adding Authentication with JSON Web Tokens
07:24
62
Adding Event Specific Routes With GitHub Copilot Inline Chat
03:02
63
Creating, Editing & Deleting Events With Copilot's Sidebar Chat
04:26
64
Creating & Exporting Reusable Functions For Event Management
04:37
65
Testing & Debugging The App
03:03
66
Implementing & Testing Validation With The Inline Chat
04:02
67
Protecting Event Routes With User Authentication
03:26
68
Testing Authentication
06:24
69
Adding Role Based Authorization To The Update & Delete Routes
07:26
70
Testing Authorization
02:39
71
Adding POST Routes with Suggestions For Registering & Unregistering Events
03:55
72
Testing & Fixing Event Registration & Unregistration
05:11
73
Integrating Image Upload Functionality With The Multer Package
09:09
74
Finishing & Testing The Image Upload Feature
06:00
75
Adding Frontend Applications To The REST API with the CORS Package
03:44
76
Conclusion & Next Steps
02:52
Unlock unlimited learning

Get instant access to all 75 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Related courses

Frequently asked questions

What is AI For Developers With GitHub Copilot, Cursor AI & ChatGPT about?
This course is designed for developers who want to effectively leverage AI! AI is not a threat but a powerful tool that can make you an even more productive developer. While AI can generate code and assist with routine tasks, your…
Who teaches this course?
It is taught by Academind Pro (Maximilian Schwarzmüller). You can find more courses by this instructor on the corresponding source page.
How long is the course?
It contains 76 lessons with a total runtime of 4 hours 55 minutes. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/ai-for-developers-with-github-copilot-cursor-ai-chatgpt. The page hosts every lesson with the integrated video player; no download is required.