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 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.
Course Content
- Introduction –> 9 lectures • 40min.
- Vibe coding fundamentals (with Cursor) –> 18 lectures • 1hr 16min.
- Building applications with Lovable (No code / low-code) –> 14 lectures • 57min.
- Working on existing code bases (with Windsurf) –> 13 lectures • 49min.
- Conclusion –> 1 lecture • 4min.
Requirements
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