Udemy - Build Full-Stack Apps with AI - Idea to Deployment

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Udemy - Build Full-Stack Apps with AI - Idea to Deployment (Size: 3.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Course Introduction
  1 - Welcome to the Course.mp4 62.8 MB
  2 - From Idea to Plan
  3 - UI UX Design with Figma AI
  10 - Generating UI UX App Screens from Text Prompts using Figma AI.mp4 188.6 MB
  11 - Publish FIGMA UI Prototype.mp4 122.2 MB
  4 - Generate Code with AI (ChatGPT + Cursor)
  12 - Setting Up Cursor AI and Ask to analyse UI.mp4 142.7 MB
  13 - Make Implementation plan.mp4 116.7 MB
  14 - Setup Frontend, Backend.mp4 91.8 MB
  15 - PostgreSQL and PGAdmin4 - Database Setup.mp4 258.3 MB
  16 - Section Wrap-up.mp4 12.4 MB
  5 - Building the Application (Hands-On Project)
  17 - Auth Module - Implement Authentication with Cursor AI.mp4 149.4 MB
  18 - Core Module Implementation - Clients, Project, Tasks - CRUD with Cursor AI.mp4 158.9 MB
  19 - Kanban, Search, Comments, Subtasks by Cursor AI.mp4 114.4 MB
  20 - Dashboard, Calendar and Reports with Cursor AI.mp4 61.8 MB
  21 - Notification and Settings Loading States using Cursor AI.mp4 83.8 MB
  22 - Section Wrap-up.mp4 16.7 MB
  6 - Testing & Optimization
  23 - Testing Your Application.mp4 154 MB
  24 - Improving UI with AI Suggestions.mp4 105.1 MB
  25 - Code Optimization with AI.mp4 202 MB
  26 - Section Wrap-up.mp4 7 MB
  7 - Deployment
  27 - Preparing App for Deployment.mp4 55.8 MB
  28 - GitHub Setup.mp4 31.4 MB
  29 - Deployment Plan with help of Cursor AI.mp4 75.7 MB
  30 - Cloud Deployment Database Neon.mp4 144.1 MB
  31 - Cloud Deployment Backend Rendor.mp4 190.2 MB
  32 - Cloud Deployment Frontend Vercel.mp4 120.9 MB
  33 - Cloud Application - Bug Fix.mp4 162.8 MB
  34 - SMTP Email Feature using Resend Cloud API.mp4 58.7 MB
  8 - Final Project & Wrap-Up
  35 - Next Steps to Scale Your App.mp4 54.8 MB
  36 - Course Conclusion & Thank You.mp4 8.6 MB
  9 - Introduction to Figma AI.mp4 87.7 MB
  4 - How to Validate Your App Idea Using AI.mp4 79.4 MB
  5 - Defining Features with ChatGPT.mp4 53.9 MB
  6 - Creating a Simple Product Requirement Document (PRD).mp4 53.1 MB
  7 - Planning MVP vs Full Product.mp4 37.3 MB
  8 - Section Wrap-up.mp4 3.2 MB
  2 - What You Will Build in This Course.mp4 40.8 MB
  3 - Tools Overview (ChatGPT, Figma AI, Cursor AI).mp4 63.4 MB

Description


Build Full-Stack Apps with AI: Idea to Deployment
https://WebToolTip.com
Published 8/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 5h 16m | Size: 3.29 GB
Turn your ideas into real apps using ChatGPT, Figma AI & Cursor. Design, build, and Cloud deployment step by step.
What you'll learn

Turn an app idea into a well-defined project using AI.

Validate app ideas and identify target users using ChatGPT.

Create a Product Requirements Document (PRD) with AI assistance.

Plan a Minimum Viable Product (MVP) and prioritize features.

Design professional UI/UX using Figma AI.

Generate application screens from simple text prompts.

Build a complete application using Cursor AI.

Use AI to generate, edit, and debug code efficiently.

Develop frontend and backend features with AI assistance.

Connect APIs and implement core application functionality.

Test, refine, and optimize AI-generated code.

Deploy a real-world application to a live environment.

Apply AI-powered workflows to future software development projects.

Gain confidence in building real applications faster using modern AI tools.
Requirements

Basic computer skills and familiarity with using a web browser.

No prior experience with AI tools is required.

Basic programming knowledge (HTML, CSS, JavaScript, or any programming language) is helpful but not mandatory.

A computer running Windows, macOS, or Linux with an internet connection.

A free or paid ChatGPT account.

A Figma account to use Figma AI features.

Cursor AI installed on your computer (installation is covered in the course).

Willingness to learn, experiment, and build a real application from scratch.

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