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:
- A practical understanding of the “vibe coding” workflow for rapid AI application development.
- Hands-on experience building a functional application by integrating Gemini and external APIs.
- The ability to leverage Google’s full AI ecosystem (Workspace, Gemini Advanced, Extensions) for real-world projects.
- Proficiency in prompt engineering techniques for effective code generation, scaffolding, and automation.
Skills Included:
- Prompt engineering for code generation and workflow automation.
- Using Gemini within Google Workspace (Docs, Sheets, Gmail).
- Building and scaffolding applications with Gemini in a notebook environment.
- Integrating APIs and external services using Gemini Extensions.
- Rapid prototyping and iterative development of AI-powered applications.
- Best practices for validating and debugging AI-generated code.
