Vibe Coding fordevelopers
Building AI-Powered Prototypes: Bringing Ideas to Life Without Programming Skills
What is Vibe Coding?
- Basic idea: Formulate requirements in everyday language; AI generates the code.
- Typical applications: small tools, prototypes, automation.
- Realistic Expectations: What Works Well, and What Doesn't?
- Overview: What AI tools are available? (e.g., Lovable, Claude, ChatGPT, Cursor).
Prompts for Vibe Coding
- Describe requirements clearly and step by step.
- Using Context Effectively: Why It's Important.
- Common Mistakes When Prompting—and How to Avoid Them.
- Work through the methodology using general examples.
A first prototype
- Build it step by step using a prepared example.
- Try out your own phrasing and see the results right away.
- Supervised Practice: Ask questions, clarify mistakes.
Iterate, Test, and Document
- Check the results: Does it work as intended?
- Describe errors precisely and request corrections.
- Targeted refinement—the cycle of testing, documenting, and improving.
- Creating a Short Documentary Using AI: Purpose, How to Use It, Next Steps.
Borders, Security, and Conclusion
- When is an AI prototype sufficient—and when is professional development needed?
- Privacy: What Can and Can't Be Included in the Prompt?
- Present results, address open questions, and provide handouts.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
After training you can:
- Explain what Vibe Coding is, what it's good for, and what its limitations are
- Formulate requirements for an AI tool clearly, step-by-step, and with appropriate context
- Build and improve a small, working prototype using an AI coding assistant
- Describe errors, request corrections, and test the results in a targeted manner
- Use AI to create a clear, concise documentation guide for your own tool
- Determining When an AI Prototype Is Enough—and When You Need Professional Development
The training is consistently hands-on. Short presentations alternate with guided exercises. The methodology is demonstrated using selected examples—such as a simple website module, a small calculator, or data preparation. This way, the focus is on the method itself, not on individual cases. During the exercise sessions, you’ll apply what you’ve learned to your own ideas and contexts.
The training is tool-independent. The methodology works with any AI coding assistant.
This training is designed for anyone who wants to quickly test out ideas— without any programming knowledge. Typical participants come from product or project management, marketing, editorial, or communications—or are self-employed or freelance.
Prerequisites
No programming experience is required. You'll need:
- Safe Use of a Computer and a Web Browser
- Basic knowledge of using AI tools (e.g., ChatGPT or Claude) – helpful, but not required
- Curiosity and a desire to try something new
- Customized training courses
- Direct application in practice
- Efficient use of time and resources