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Full-Stack Development: Laravel12 API React Google Gemini AI
3 students
Full-Stack Development: Laravel12 API React Google Gemini AI
From API development to AI integration—build two production-ready AI applications step-by-step.
Created byMadhu BRS
Last updated 12/2025
English
What you'll learn
- Build full RESTful APIs using Laravel 12 with clean and scalable architecture
- Integrate Google Gemini for AI content generation and document analysis
- Develop modern, responsive UI components using React
- Connect Laravel APIs with a React frontend using Axios
- Create a complete AI Content Generator from scratch
- Build an intelligent AI Document Analyzer capable of processing and interpreting text files
- Implement file upload, validation, and text extraction in Laravel
- Use prompt engineering techniques to improve AI outputs
- Manage application state and async workflows in React
- Deploy your Laravel backend and React frontend to production
- Apply real-world coding patterns you can reuse in future AI projects
Explore related topics
Course content
6 sections • 40 lectures • 3h 46m total length
Requirements
- Basic understanding of PHP or Laravel fundamentals
- Beginner-level knowledge of React or JavaScript
- Familiarity with REST APIs (helpful but not required)
- A computer with internet access
- Willingness to learn and follow hands-on coding lessons
- No prior AI or machine learning experience needed — everything will be taught step by step
Description
Unlock the power of AI by building two real-world applications using modern full-stack technologies. In this practical, hands-on course, you will learn how to create both an AI Content Generator and an AI Document Analyzer using Laravel 12, React, and Google Gemini.
This course guides you step-by-step through backend API development, frontend integration, and AI workflow implementation—making it ideal for developers who want to master AI-powered web applications from scratch.
What You Will Build
1. AI Content Generator
A full AI writing assistant that can generate blog posts, social media captions, marketing copy, and more.
Build secure Laravel API endpoints
Connect React frontend with Laravel using Axios
Integrate Google Gemini for text generation
Create prompt engineering workflows
Implement categories, templates, and saved outputs
2. AI Document Analyzer
An intelligent tool that can analyze PDF, DOCX, TXT, and other documents to extract insights.
How to upload and process documents via Laravel APIs
Extract and sanitize text from uploaded files
Send document content to Google Gemini for AI-based summarization, Q&A, and analysis
Build a clean React UI for document uploads and analysis output
What You Will Learn
Building scalable REST APIs with Laravel 12
Implementing authentication and security best practices
Integrating Google Gemini for content generation and document analysis
Developing modern UI components using React
Managing application state and handling asynchronous AI responses
Designing professional-level AI workflows
Debugging and error handling for AI-powered applications
Deploying both backend and frontend for production use
Why This Course Stands Out
This is not a basic demo course. You will build complete, production-ready AI tools with real features and clean architecture. Every lesson focuses on practical implementation, giving you the skills to build your own custom AI applications long after the course ends.
Who This Course Is For
Web developers who want to add AI skills to their portfolio
Laravel or PHP developers who want to advance into AI integration
React developers looking to build full-stack AI applications
Students and professionals seeking real-world AI project experience
Anyone who wants to build AI tools like content generators or document analysis systems
Prerequisites
Basic knowledge of PHP or Laravel
Basic understanding of React fundamentals
No AI experience required—everything is explained step by step
Who this course is for:
- Web developers who want to add AI development to their skillset
- Laravel or PHP developers looking to integrate advanced AI features
- React developers who want to learn backend API development and AI integration
- Students and beginners interested in building real-world AI applications
- Freelancers who want to offer AI-powered solutions to clients
- Startup founders or product builders who want to prototype AI tools quickly
- Anyone curious about AI and looking to build content generation or document analysis tools
- Software engineers wanting hands-on experience with Google Gemini and modern full-stack workflows