Course Information
Course Overview
Leverage tools such as Cursor, Windsurf, GitHub Copilot or Lovable to build applications using plain English
In this hands-on course, you’ll discover how to shift from traditional line-by-line programming to a “vibe coding” approach, where natural-language prompts drive AI agents to write, test, and deploy your applications. Inspired by Andrej Karpathy’s vision, vibe coding lets you focus on guiding and refining AI output, rather than wrestling with every detail of syntax. You’ll watch AI tools like Cursor and Windsurf create files, install dependencies, and execute commands—all from simple English instructions.
What this course covers
Introduction to the “vibe coding” mindset and its origins
Overview of leading AI-powered coding tools (Cursor, Windsurf, Lovable, GitHub Copilot)
Hands-on projects
Best practices for vibe coding
Core software development practices adapted for AI workflows
Who this course is for
Complete beginners curious about building apps without writing every line of code
Developers eager to speed up prototyping and learn to guide AI output
Anyone who wants to understand how AI changes the software development life cycle
Key skills you’ll gain
Natural-language prompting: describe app ideas in plain English and turn them into working code
AI-guided debugging: identify, troubleshoot, and refine AI-generated code
Project organization: structure files and folders for clarity and maintainability
Version control with Git: track changes, manage branches, and roll back safely
Automated testing: write simple tests to verify functionality
Deployment automation: configure one-command or CI/CD pipelines to launch your app
Legal Disclaimer
This course is an independent educational resource and is not endorsed by, affiliated with, or associated with any of the tools and software presented in the course.
This course contains promotional materials.
Course Content
- 5 section(s)
- 55 lecture(s)
- Section 1 Introduction
- Section 2 Vibe coding fundamentals (with Cursor)
- Section 3 Building applications with Lovable (No code / low-code)
- Section 4 Working on existing code bases (with Windsurf)
- Section 5 Conclusion
What You’ll Learn
- Build applications from scratch using AI agents
- Turn an app idea into a working prototype
- AI-guided debugging & code refinement
- Version control & maintainable project structuring
- Write tests to check that the app does what it’s supposed to
Reviews
-
PPham Huu Nguyen
I’ve been using the CursorAI IDE for quite a while, but the knowledge in this lesson is still very useful. It helps me consolidate what I know and improve the areas I’m not yet strong in. Thank you.
-
LLarry Salinas
I am a consultant in the PM healthcare domain getting more involved with AI projects. I also have started have started doing a side project using Loveable and Supabase. This has been very helpful and will give me an edge and better understanding how things work under the hood. Great course and easy to follow.
-
HHeath Matthias
Was not clear when to work on items or if this was just to watch and learn. Would have been better if it would have been more clear to try something.
-
SSabareesh Sadanandan
Very good reasoning and narration, helps a Lehman like me to understand the intention behind each decisions