Code Course – Build a Referral System with Laravel 2024-1 – Download

Description

Build a Referral System with Laravel is a training course on building a referral marketing system with the Laravel framework, published by Code Courses Online Academy. In this course, you will learn how to build a referral marketing system from scratch using the Laravel framework. Building a referral system with Laravel involves creating a mechanism that tracks and rewards users for referring others to a platform or service. In this course, you will learn how to add additional features such as tracking referral activity, setting up rewards, and integrating with email notifications for the entire referral system. In this training course, you will learn topics such as creating a referral code, setting a cookie to track the referral process, linking referrals to subscriptions, and displaying detailed referral statistics on a dashboard.

Laravel is a popular open source PHP web framework that follows the Model-View-Controller (MVC) architectural pattern and provides various tools and libraries to simplify the development process. In this training course you will learn its concepts and principles and learn how to use it to its full potential.

What you will learn in Building a Referral System with Laravel:

  • Basic concepts and principles of referral marketing system
  • Using the Laravel framework
  • Generate referral code
  • Connect referrals to subscriptions and display detailed referral statistics in the dashboard
  • And…

Course Specifications

Publisher: Code Courses
coach: Alex Garrett Smith
language English
Level: Introductory to advanced
Number of lessons: 24
Duration: 2 hours 39 minutes

Course Subjects

Create a referral system with Laravel Material Create a referral system with Laravel Material

Create a referral system with Laravel prerequisites

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Pictures

Create a referral system with Laravel

Create a referral system with Laravel intro video

installation Guide

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Subtitles: none

Quality: 1080p

download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 406 MB

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3.4 GB

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