Build Your Own App In Just 30 Minutes! Full Course with Andrew Ng

2026-06-02 · Source: DeepLearningAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Gaming & Interactive Media · Depth: Novice, extended

Summary

Andrew Ng's course, "Build Your Own App In Just 30 Minutes!", teaches individuals to create web applications using AI systems like ChatGPT, Gemini, or Claude, regardless of coding background. The course demonstrates building a custom birthday card generator and a ping pong game by iteratively prompting AI to generate HTML code. Key practices include starting with a basic prompt, refining it through conversational feedback, and being specific with instructions regarding goal, input, output, layout, and features. The course also covers debugging AI-generated code and brainstorming new features with AI. A final project involves creating a fill-in-the-blanks story builder, requiring 3-5 input fields, a generation button, and an output display. Participants earn a certificate upon completion.

Key takeaway

For aspiring developers or anyone intrigued by AI's potential to build software, you should embrace iterative prompting as your primary development method. Start with clear, specific instructions for AI systems like ChatGPT or Gemini. Then, refine the generated code through conversational feedback. This approach allows rapid prototyping and debugging of web applications. You can transform ideas into functional tools in minutes, even without traditional coding skills. Practice will hone your ability to steer AI effectively.

Key insights

AI empowers rapid software development for anyone through iterative, specific prompting, transforming ideas into working apps in minutes.

Principles

• AI-driven code generation is the new default.
• Specific prompts yield predictable results.
• User feedback improves software applications.

Method

Start with a basic prompt outlining goal, input, output, layout, and features. Iteratively refine AI-generated code by providing specific feedback and additional instructions, debugging issues by clearly describing problems.

In practice

• Use popular AI chatbots for code generation.
• Download and run generated HTML files.
• Brainstorm features by asking the AI for ideas.

Topics

• Prompt Engineering
• AI Code Generation
• Web Application Development
• Iterative Development
• HTML
• AI Debugging

Best for: AI Student, Software Engineer, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by DeepLearningAI.