Udemy – Build a GenAI-Powered Hotel Booking App with Next.js & MERN 2025-5
Udemy – Build a GenAI-Powered Hotel Booking App with Next.js & MERN 2025-5 Downloadly IRSpace

Build a GenAI-Powered Hotel Booking App with Next.js & MERN. This course teaches you how to develop an advanced hotel booking app using GenAI and modern technologies like Next.js and the MERN Stack. In this course, you will build a complete hotel booking platform with AI capabilities, management dashboards, integrated payment system, and smart features. Technologies used include Next.js 14, React, MongoDB, Node.js, and tools like Recharts for data analysis, react-simple-maps for geographic visualization, and payment systems like Stripe, Razorpay, and PayPal. This course covers all payment options including UPI, digital wallets, credit cards, and flexible payment methods, and is suitable for global markets, especially India. You will learn how to create a management dashboard with sales reports and user analytics, and monitor activity on a global map. At the end, you will learn how to deploy the application on platforms like Vercel or other cloud services. The project is ready for presentation to customers or practical use, strengthening your skills in full-stack development.
What you will learn
- Building a complete hotel booking platform MERN Stack: You build a complete hotel booking platform from the ground up using Next.js (with App Router), React, Node.js, Express, and MongoDB.
- Generative AI integration: You implement Generative AI features such as AI-based chat assistants and intelligent booking suggestions using the Gemini API and custom prompts.
- Implement an advanced payment system: With Stripe, Razorpay, and PayPal, you create advanced payment systems that include dynamic pricing, local currency, and invoice generation.
- Date-based room reservation system: You build a complete room reservation system with availability checking, real-time booking calendar, and reservation code generation.
- Authentication and Role-Based Access: Using NextAuth and role-based access, you set up secure authentication and permissions for users, administrators, and hotel managers.
- Build dynamic dashboards: Build complete management and user dashboards to manage reservations, users, room types, and hotel settings using Material UI.
- Application Deployment: You deploy the entire application on Vercel or your preferred cloud platform, with the environment configured and builds ready for production.
- Mastering Full-stack Architecture and API Development: You will learn about full-stack architecture and API development including RESTful APIs, MongoDB models, secure endpoints, and real-time features.
This course is suitable for people who:
- Developers: People who want to build advanced full-stack applications with AI and payments.
- Freelancers: People who build booking systems, dashboards, or SaaS platforms.
- Entrepreneurs: People who have an idea for a hotel or room booking startup and want to turn it into a real product.
- Students: People looking for a portfolio project that resembles a real product.
- Web development enthusiasts: People who want to master modern frontend and backend technologies, data analytics, and artificial intelligence.
Build a GenAI-Powered Hotel Booking App with Next.js & MERN Course Details
- Publisher: Udemy
- Instructor: Aryan Kumar
- Training level: Beginner to advanced
- Training duration: 34 hours and 4 minutes
- Number of lessons: 136
Course syllabus in 2025/7
Prerequisites for the Build a GenAI-Powered Hotel Booking App with Next.js & MERN course
- Basic Understanding of JavaScript: Familiarity with JavaScript fundamentals, including variables, functions,
- basic React: A basic understanding of React, including components, props, and state management.
- Basic HTML and CSS Knowledge: Familiarity with HTML and CSS to build and style web pages
- Development Environment Setup: A computer with internet access, and vs code text editor
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
21.5 GB