File Name: | AI-Powered Job Portal: Next.js 15, Strapi 5 & React Query |
Content Source: | https://www.udemy.com/course/ai-powered-job-portal-nextjs-15-strapi-5-react-query |
Genre / Category: | Other Tutorials |
File Size : | 3.8 GB |
Publisher: | Mohammad Hassani |
Updated and Published: | August 31, 2025 |
Step into the future of web development and learn how to build a modern, AI-powered job portal from the ground up using the latest technologies. In this hands-on course, you’ll develop a full-stack web application with Next.js 15 (App Router) for the frontend and Strapi v5 as a headless CMS backend, creating a professional platform that can handle real-world job postings, candidate profiles, and AI-driven resume analysis.
This course is designed to give you practical, real-world experience with modern full-stack development, even if you have little to no backend or AI experience. You’ll go beyond simple tutorials and learn how to architect, build, and deploy a production-ready web application with all the features a professional job portal requires.
What you’ll learn in this course:
- Next.js 15 App Router: Build the frontend using the latest version of Next.js, mastering the modern App Router, server components, and optimized routing strategies.
- TypeScript: Implement strong typing for your project, reducing bugs and making your code more maintainable and professional.
- Tailwind CSS v4 & ShadCN UI: Create a responsive, modern, and visually appealing interface using utility-first CSS and pre-built components from ShadCN UI.
- Strapi v5 CMS: Learn API-first development by setting up a Strapi backend, managing content, creating models, and handling authentication.
- Authentication with NextAuth.js (Auth.js): Implement secure login and signup functionality, role-based access for candidates and employers, and protected routes.
- OpenAI API Integration: Add AI-powered features like resume and job description analysis, providing students with experience in integrating cutting-edge AI technologies.
- API Communication with TanStack React Query and Axios: Efficiently fetch and manage data between frontend and backend.
- Form Validation & Handling: Use React Hook Form and Zod for building robust, validated forms.
- Modern Development Tools: Learn how to use Biome for linting and formatting, PostCSS for CSS processing, and modern JavaScript/TypeScript development best practices.
- Deployment & Environment Management: Deploy your full-stack application to production using platforms like Vercel (frontend) and Render (backend), including environment variables and performance optimization strategies.
Who this course is for:
- Beginner and intermediate developers who want hands-on experience building a real-world, full-stack application.
- React and Next.js learners eager to master the latest App Router and modern full-stack development practices.
- Backend beginners looking to get practical experience with Strapi v5 and RESTful API development.
- Students, freelancers, and professionals interested in integrating AI capabilities into practical web applications.
- Developers who want to build production-ready projects for their portfolios, including job boards, SaaS applications, or career platforms.
- Anyone motivated to learn modern web technologies, AI integration, and professional development workflows.
By the end of this course, you’ll have built a complete, functional, and deployable AI-powered job portal, fully equipped with secure authentication, AI-driven features, and a polished, responsive interface. This course gives you the confidence and skills to build production-ready web applications and opens the door to advanced full-stack development opportunities.
DOWNLOAD LINK: AI-Powered Job Portal: Next.js 15, Strapi 5 & React Query
AI-Powered_Job_Portal_Next.js_15_Strapi_5_React_Query.part1.rar – 1000.0 MB
AI-Powered_Job_Portal_Next.js_15_Strapi_5_React_Query.part2.rar – 1000.0 MB
AI-Powered_Job_Portal_Next.js_15_Strapi_5_React_Query.part3.rar – 1000.0 MB
AI-Powered_Job_Portal_Next.js_15_Strapi_5_React_Query.part4.rar – 831.0 MB
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