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Vibe Coding With Google: AI-Powered Application Development

From Prompt to prototype—Using Google’s AI tools for next-gen app creation

What if you could build fully functional apps without writing code line by line—just by having a conversation with AI? Traditional development can be slow and technical, but with Google’s generative AI tools, that’s changing fast.

What you’ll learn

Course Content

Requirements

What if you could build fully functional apps without writing code line by line—just by having a conversation with AI? Traditional development can be slow and technical, but with Google’s generative AI tools, that’s changing fast.

Welcome to Vibe Coding with Google: AI-Powered Application Development! I’m Prof. Reza (Dr. Reza Moradinezhad), an AI scientist and educator with over a decade of experience in computer science and AI—having worked alongside teams at MIT Media Lab, CMU, and Harvard.

In this course, I’ll walk you through a new way of building: Vibe Coding—a conversational, intuitive workflow that lets you prototype real apps using natural language and AI. I’ve designed this course for developers, no-code builders, and anyone curious about how to work smarter with AI, even if you’ve never touched a line of code.

Unlike other AI coding courses, this one is built entirely around Google’s native ecosystem. You’ll learn using Gemini, Gemini Extensions, Workspace tools, and Colab, gaining hands-on experience with tools that are already deeply integrated into your daily workflows.

By the end, you won’t just understand the theory—you’ll walk away having built a complete smart assistant app and the skills to keep building on your own. From prompt engineering to rapid deployment, you’ll be ready to apply what you’ve learned to real-world problems.

Let’s dive into vibe coding and catch a glimpse of the future of app development.

Key Takeaways

  1. A practical understanding of the “vibe coding” workflow for rapid AI application development.
  2. Hands-on experience building a functional application by integrating Gemini and external APIs.
  3. The ability to leverage Google’s full AI ecosystem (Workspace, Gemini Advanced, Extensions) for real-world projects.
  4. Proficiency in prompt engineering techniques for effective code generation, scaffolding, and automation.

Skills Included