Udemy – Next.js 15 & Supabase – Build a Salon & Spa Booking App 2025-1

Udemy – Next.js 15 & Supabase – Build a Salon & Spa Booking App 2025-1 Downloadly IRSpace

Udemy – Next.js 15 & Supabase – Build a Salon & Spa Booking App 2025-1
Udemy – Next.js 15 & Supabase – Build a Salon & Spa Booking App 2025-1

Next.js 15 & Supabase – Build a Salon & Spa Booking App. This course will walk you through building a complete salon and spa booking app. Using modern technologies like Next.js 15, Supabase, and Tailwind CSS, you will learn how to develop a functional, responsive app from scratch. This course is designed for all levels, from beginners to professional developers, and will strengthen your Full-Stack skills. During the course, you will implement a booking system, manage authentication with JWT, use Tailwind CSS to design the user interface, and organize data with PostgreSQL. You will also experience deploying the app on Vercel. Key features of this app include the ability to create profiles for salon owners, manage services and reservations, filter appointments, and display information in the dashboard. Users can also search for salons, make reservations, and track their appointment history. This hands-on project will expose you to real-world web development challenges and enhance your technical knowledge.

What you will learn in the Next.js 15 & Supabase – Build a Salon & Spa Booking App course:

  • Building a Full-Stack Salon and Spa Booking App: Learn how to create a fully functional booking platform using Next.js 15, Supabase, and Tailwind CSS.
  • Implement authentication and authorization: Set up user authentication with JWT and manage different roles for salon or spa owners and customers.
  • Develop a Responsive and Modern UI: Use Tailwind CSS to design an attractive, mobile-friendly, and interactive user interface.
  • PostgreSQL Integration for Data Management: Learn how to efficiently store and manage user, salon, and appointment data with a relational database.
  • Enable Real-Time Booking and Management: Implement features that allow users to search, book, and manage appointments, while salon or spa owners can track their bookings.
  • Deploy and optimize a scalable web application: Deploy the application on Vercel and ensure smooth performance using best practices in Next.js Server Actions.

This course is suitable for people who:

  • Frontend and Full-Stack Developers: Developers who want to learn how to build a scalable booking platform using Next.js 15, Supabase, and Tailwind CSS.
  • React and JavaScript learners: Those who are familiar with React and want to expand their skills in Next.js, authentication, and database management.
  • Freelancers and Entrepreneurs: Anyone interested in creating a salon and spa booking app for personal projects, clients, or business startups.
  • Students and Job Seekers: Learners who want to strengthen their portfolio with a fully-functional project to improve their career prospects.

Course Details Next.js 15 & Supabase – Build a Salon & Spa Booking App

  • Publisher:  Udemy
  • Lecturer:  K.Sathyaprakash Reddy
  • Training level: Beginner to advanced
  • Training duration: 5 hours and 38 minutes

Course syllabus as of 2025/3

Next.js 15 & Supabase - Build a Salon & Spa Booking App

Prerequisites for the Next.js 15 & Supabase – Build a Salon & Spa Booking App course

  • Basic Knowledge of JavaScript & React – Familiarity with JavaScript fundamentals and React concepts will help you follow along easily.
  • Understanding of HTML & CSS – Basic experience with HTML and CSS is recommended, especially for styling components.
  • Familiarity with Git & Version Control – Knowing how to use Git for managing code versions will be beneficial.

Course images

Next.js 15 & Supabase - Build a Salon & Spa Booking App

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: None

Quality: 1080p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 503 MB

File(s) password: www.downloadly.ir

File size

3.5 GB