Udemy - Vibe Coding With Google - AI-Powered Application Development

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Udemy - Vibe Coding With Google - AI-Powered Application Development (Size: 2.2 GB)
  1 - Welcome Overview.mp4 23.3 MB
  10 - Final Touches Deployment.mp4 181.3 MB
  11 - Best Practices for Vibe Coding.mp4 164.7 MB
  12 - The Future of Vibe Coding.mp4 93.1 MB
  13 - Course Recap Reflection and what could be after.mp4 117.5 MB
  14 - Outro.mp4 50.1 MB
  2 - Understand Vibe Coding Gen AI Assisted Coding.mp4 368.3 MB
  3 - Vibe Coding in Google Gemini Context.mp4 97.8 MB
  4 - Why are we using Gemini.mp4 97.7 MB
  5 - Gemini in Workspace.mp4 400.2 MB
  5 - What is vibe coding.txt 102.4 B
  6 - Project Introduction.mp4 186.1 MB
  7 - PrompttoCode with Gemini.mp4 104 MB
  8 - Reviewing Code Adding New Features and Fixing Live Errors with Gemini.mp4 194.1 MB
  9 - Extending with Gemini Extensions.mp4 135.5 MB
  9 - Vibe Coding Explained.txt 409.6 B
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 18 total files

Description


Vibe Coding With Google: AI-Powered Application Development

https://WebToolTip.com

Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.16 GB | Duration: 1h 27m

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

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.

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.

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