Description
Build AI Agent Chatbot SaaS with Laravel 12 & Gemini API Course. In 2025, chatbots will play a critical role in automating customer support and increasing business engagement. Combining the power of the Laravel framework with the advanced capabilities of the Gemini API and RAG technology, this course guides you from start to finish to build a scalable and intelligent service. Training topics include setting up secure multi-user authentication with Laravel Breeze, creating an admin panel and subscription system, managing a knowledge base, and fully implementing RAG logic to provide intelligent, context-aware responses. You will also build a front-end chat widget for integration into websites, set up a payment system, and add the ability to automatically generate blog content with AI. By the end of this course, you will have a complete, job-ready project that demonstrates your mastery of the latest technologies and prepares you for in-demand jobs in the AI field.
What you will learn
- Building an AI SaaS Chatbot with Laravel 12 and Gemini API: You will learn how to build a complete SaaS chatbot with the necessary tools and technologies.
- Building a Basic Dynamic Website with Laravel 12: You will learn the basics of building a dynamic website with Laravel 12.
- Two-factor authentication: You will learn how to implement two-factor authentication.
- AI Chatbot System: You build a complete AI chatbot system from scratch.
- Installing Frontend and Backend Themes: You will learn how to set up the website’s frontend and backend themes.
- Installing Gemini API in Laravel Project: You add Gemini API to your Laravel project.
- Checking Gemini API in Postman: You test the performance of Gemini API using Postman.
- Installing RAG Core Logic: You implement the core RAG (Recovery Augmented Generation) logic.
- Create knowledge and chat tables with relationships: You create the tables necessary to store knowledge and chat data along with the relationships between them.
- Storing knowledge base data with RAG: You store knowledge base data using RAG.
- Installing Text Chunking and Embedding Services with Gemini API: You set up text chunking and embedding services with Gemini API.
- Creating a Job Process for the Knowledge Base: You create a job process for the knowledge base.
- Building chatbot features: You develop various chatbot features.
- And…
This course is suitable for people who:
- Web developers: To enhance Laravel skills with AI and SaaS expertise.
- Entrepreneurs: To build a marketable SaaS product and launch their own business.
- DevOps professionals: To master AI integration for scalable applications.
- Intermediate to advanced learners: Basic knowledge of PHP and Laravel recommended; no prior experience in AI required.
- Professionals who want to enhance their Laravel skills for career growth.
Build AI Agent Chatbot SaaS with Laravel 12 & Gemini API Course Details
- Publisher: Udemy
- Instructor: Kazi Ariyan , easy Learning
- Training level: Beginner to advanced
- Training duration: 40 hours and 12 minutes
- Number of lessons: 207
Course syllabus as of 2025/9
Prerequisites for the Build AI Agent Chatbot SaaS with Laravel 12 & Gemini API course
- No prior Gemini API or RAG experience required—everything is taught from scratch
- Basic knowledge of PHP and Laravel (or willingness to learn).
- Basic HTML, CSS, Bootstrap
- Local Server: Xampp/Wampp/Vertrigo/Mamp
- Text Editor/IDE: Sublime Text, Visual Studio Code, PHPStrom etc
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
24.4 GB
