Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Vibe Coding With Google: AI-Powered Application Development
Rating: 4.4 out of 5(95 ratings)
225 students
Created byOrants AI, Reza Mora
Last updated 10/2025
English

What you'll learn

  • Explain the core concepts of Generative AI, the "vibe coding" philosophy, and the Google AI ecosystem.
  • Utilize Gemini and Gemini Extensions to build the core functionality of an AI-powered smart assistant application from a text prompt.
  • Finalize, deploy, and reflect on the created application, while learning best practices for iterating with AI development tools.
  • Apply vibe coding principles independently by designing and prototyping a new AI-powered application using Gemini and Colab.

Course content

3 sections • 14 lectures • 1h 28m total length

  • Welcome & Overview2:08

    Introduction to the course structure and the "vibe coding" philosophy.

  • Understand Vibe Coding: Gen AI Assisted Coding9:35

    A primer on LLMs and the fundamentals of using GenAI while coding.


    1. The New Era of Software Development

    • Introduce the idea that development is no longer just typing code line-by-line.

    • Visual: Split screen showing traditional IDE vs someone talking to Gemini.

    • Hook: “What if your code editor could think with you?”



    2. What is Gen AI?

    • Define Generative AI: systems that generate text, code, or media from prompts.

    • Briefly explain LLMs (e.g., Gemini, PaLM 2) and their training on code + natural language.

    • Visual: Simple diagram of user → prompt → LLM → code output.



    3. What is Vibe Coding?

    • Define "vibe coding" as a conversational, iterative workflow with Gen AI tools.

    • Key characteristics: intuitive, fluid, and rapid prototyping.

    • Visual: Flowchart showing prompt → test → repeat



    4. What You’ll Learn in This Course

    • Tease what’s ahead: building real apps.

    • Tone: encouraging and visionary.

    • Visual: Roadmap slide – “Prompt → Prototype → Deploy”

  • Vibe Coding
  • Vibe Coding in Google Gemini Context12:43

    How Gemini can greatly increase coding efficiency

    1. From Typing to Prompting: A Paradigm Shift

    • Open with the shift from manual coding to collaborative AI-assisted development.

    • Key Message: “Gemini doesn’t just complete code, it helps you think through it.”



    2. Gemini’s Unique Contextual Awareness

    • Explain how Gemini integrates with Google Workspace, Gmail and Docs.

    • Context-aware: understands what's in your doc, sheet, or notebook.

    • Visual: Animated flowchart showing Gemini pulling context from multiple sources.



    3. Conversational Debugging & Refactoring

    • Show how you can ask Gemini to fix a bug, optimize a function, or explain code.

    • Example: “Can you make this more efficient?” → Gemini revises the function.

    • Visual: Side-by-side view of prompt + code revision happening in real time.



    4. How We are Using it

    • Walk through the common use cases:

      • Explain were going to be very simple and just use the Canvas feature within Gemini

    • Visual: Icons or short clips for each use case with minimal text.



    5. Preparing to Build: What This Means for You (1 min)

    • Recap what Gemini empowers you to do: rapid prototyping, multi-modal interaction, reduced boilerplate.

    • Bridge to next video: “But why Gemini? Why not Copilot or ChatGPT?”

    • Visual: Slide showing Gemini icon with arrows toward “Speed,” “Clarity,” “Ecosystem Fit”

  • Developer's role when using Gemini
  • Why are we using Gemini?11:18

    Overview of the specs and advantages of using Gemini vs other Chatbots


    1. What Sets Gemini Apart

    • Natively integrates to many popular services

    • Is probably one of the most intelligent LLM coder spec wise



    2. Specs That Matter

    • Highlights of Gemini 2.5:

      • 2M+ token context window

      • Multimodal (text, code, image, docs, video)

      • Performance on code benchmarks (briefly touch on benchmarks)

    • Visual: Stats slide with visual badges/icons rather than plain numbers



    3. The Ecosystem Advantage

    • Gemini aligns directly with other Google services like Firebase, Vertex AI, AppSheet, and Cloud Functions.

    • Visual: Map of Google services with Gemini in the center

  • Gemini’s 2 million-token context window
  • Gemini in Workspace10:04

    Using Gemini in Gmail, Docs, and Sheets for code scaffolding and ideation.

    Integration across Platforms

    • Being integrated in multiple platforms makes it incredibly easy to transfer information between sections of the development stage

    • Example: brainstorm an idea on Socs, transfer that to Gemini to code, transfer to firebase or vertex AI to further develop your application

  • Primary benefit of Gemini’s tight integration
  • Get started with Vibe coding in Gemini

Requirements

  • 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.

Description

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

  • 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.

Who this course is for:

  • Rapid Prototyping for Solo Entrepreneurs – Weekend MVPs with Vibe Coding
  • Case Study: Prototyping a Data Analytics Interface via Vibe Coding in Academia
  • Community Project: Building a Website via Vibe Coding Prompts
  • Non-Programmer Game Prototyping with Vibe Coding

Report abuse