| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1 - Course Intro And Project Demo.mp4 | 4.5 MB | ||
| 2 - Advanced MERN Backend Authentication, Chat System & AI Integrations | |||
| 1 - Building a Basic Express.js Server with Environment Variables and Middleware.mp4 | 27.6 MB | ||
| 10 - Building the AI Text Message Controller (Part 1).mp4 | 29.9 MB | ||
| 11 - Building the AI Image Generation Controller (Part 2).mp4 | 58.9 MB | ||
| 12 - Implementing the Get Published Images API + Updating User Routes.mp4 | 35.8 MB | ||
| 13 - Implementing Message Routes for Text & Image AI Messages.mp4 | 10 MB | ||
| 14 - Test text and image api in postman.mp4 | 65.9 MB | ||
| 2 - Connecting our Application to MongoDB Using Mongoose.mp4 | 35.2 MB | ||
| 3 - Creating a Secure User Model with Mongoose and Password Hashing.mp4 | 29.9 MB | ||
| 3 - Frontend Development React UI, State Management & Chat Interface Implementation | |||
| 1 - Setting Up the Frontend – Installing React Vite, and Tailwind CSS.mp4 | 76.3 MB | ||
| 1 - index.css.css | 614.4 B | ||
| 10 - Building a Fully Functional ChatBox Component part 2.mp4 | 95.2 MB | ||
| 11 - Building the Message Component part 1.mp4 | 56.3 MB | ||
| 12 - Building the Message Component part 2.mp4 | 303.2 MB | ||
| 12 - style.txt.txt | 307.2 B | ||
| 13 - Building the Image Library Page App.mp4 | 51.1 MB | ||
| 2 - Building Global State Management in React for Authentication & Chat Handling.mp4 | 69.3 MB | ||
| 3 - Building Global State Management in React for Authentication & Chat Handling.mp4 | 49.7 MB | ||
| 4 - Building the Login & Registration UI in React for Our MERN Chatbot App part 1.mp4 | 216.7 MB | ||
| 4 - Project Deployment | |||
| 1 - Uploading Our App to GitHub and Deploy It On Vercel.mp4 | 81 MB | ||
| 1 - deployment.txt.txt | 512 B | ||
| 1 - favicon.png.png | 19.6 KB | ||
| 4 - style.js.js | 8.9 KB | ||
| 5 - Building the Login & Registration UI in React for Our MERN Chatbot App part 2.mp4 | 43.3 MB | ||
| 6 - Integrating the Login Screen, User Context, and Toast Notifications into App.mp4 | 30.2 MB | ||
| 7 - Building the Sidebar Component for Chats, Navigation, and User Account Manage.mp4 | 133.2 MB | ||
| 7 - logo.png.png | 31.6 KB | ||
| 8 - Building the Sidebar Component for Chats, Navigation, and User Account Manage.mp4 | 168.4 MB | ||
| 9 - Building a Fully Functional ChatBox Component part 1.mp4 | 109.7 MB | ||
| 4 - Building Authentication APIs Register, Login & Protected User Data.mp4 | 45.5 MB | ||
| 5 - Implementing Auth Middleware & Securing User Routes and test it in postman.mp4 | 47.2 MB | ||
| 6 - Designing a Chat Model for Storing Conversations in MongoDB.mp4 | 16.6 MB | ||
| 7 - Chat controllers create get and delete chats.mp4 | 26.9 MB | ||
| 8 - Implementing Chat Routes Create, Fetch, and Delete Chats.mp4 | 23.7 MB | ||
| 9 - Configuring External Services AI Model (OpenAIGemini) & Image Uploads (ImageKit).mp4 | 33.5 MB | ||
| 2 - Prerequisites For This Course.mp4 | 15.1 MB |
From Zero to Deployed: MERN Stack AI Chatbot
https://WebToolTip.com
Published 12/2025
Created by Qais Hani
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 5h 2m ) | Size: 1.94 GB
Learn MERN Stack and AI integration as you build chat messaging, image processing, and a full deployed production
What you'll learn
Build and configure a complete MERN Stack backend, including Express routes, MongoDB models, and secure JWT authentication.
Implement fully functional chat features such as creating chats, sending messages, storing message history, and managing AI responses.
Integrate OpenAI APIs to generate text responses and process image uploads using ImageKit.
Develop a modern React frontend with Tailwind CSS, including chat UI, sidebar navigation, authentication pages, and image library views.
Use global state management with custom React context to handle user sessions, API requests, active chats, and message flow.
Implement protected routes and verify user access on both frontend and backend using JWT and middleware logic.
Deploy the full-stack application to Vercel, set environment variables, and prepare the project for real-world production use.
Requirements
A basic understanding of JavaScript fundamentals (variables, functions, arrays, objects).
Very basic knowledge of HTML & CSS — just enough to understand simple structure and styling.
You do not need to know React, Node.js, Express, or MongoDB — every concept is taught step-by-step throughout the course.
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