Login

Build an Java Full Stack Project: AI Powered Job Portal

Build a production-grade application using Spring Boot Microservices, Spring Cloud, Kafka, PostgreSQL, Docker, React

  • 0.0 (0 Reviews)
  • 0 Students
  • 151 Lessons
  • Ashok Zarmariya

Course Overview

Build an AI-Powered Job Portal with Java, Spring Boot Microservices & React

Learn how to build a production-grade full-stack application using Java, Spring Boot, Microservices, React, Kafka, Docker, PostgreSQL, Spring Cloud, and Artificial Intelligence.

What you'll learn

  • Build a complete AI-powered Job Portal from scratch.

  • Design and develop a production-ready microservices architecture.

  • Build secure REST APIs using Spring Boot and Spring Security with JWT Authentication.

  • Implement API Gateway, Service Discovery (Eureka), Config Server, and OpenFeign using Spring Cloud.

  • Use Apache Kafka to build event-driven communication between microservices.

  • Integrate PostgreSQL with Spring Data JPA (Hibernate).

  • Containerize the entire application using Docker and Docker Compose.

  • Send email notifications using Java Mail Sender.

  • Build a modern React frontend with Redux Toolkit, React Router DOM, Tailwind CSS, Shadcn UI, and Axios.

  • Create responsive, reusable, and scalable UI components.

  • Integrate AI to analyze resumes and provide personalized feedback for job seekers.

  • Build an AI-powered candidate screening system that automatically scores, shortlists, reviews, or rejects applicants.

  • Learn how large-scale Java applications are structured in real software companies.

  • Gain practical experience by building a portfolio-worthy full-stack project.

Description

Most Java and React courses teach individual technologies.

They explain Spring Boot, React, databases, or microservices separately, but very few show you how all of these technologies come together to build a real production-grade application.

That's exactly what this course is about.

In this course, you'll build a complete AI-Powered Job Portal using a modern microservices architecture.

This isn't a simple CRUD project.

Instead, you'll develop an application that closely resembles the architecture and features used in real-world software companies.

The project includes everything you would expect from a professional job portal.

Employer Features

  • Create and manage job postings.

  • Search, filter, and review applications.

  • View candidate profiles and resumes.

  • Track the hiring process.

Student Features

  • Register and manage profiles.

  • Upload and manage multiple resumes.

  • Search and filter job opportunities.

  • Save jobs for later.

  • Apply for jobs online.

AI-Powered Features

This course goes beyond a traditional job portal by integrating Artificial Intelligence into the hiring process.

For job seekers, AI will:

  • Analyze resumes.

  • Identify missing skills and information.

  • Explain why a resume may not be getting shortlisted.

  • Suggest improvements.

  • Recommend suitable job roles.

For employers, AI will:

  • Automatically analyze every application.

  • Generate an AI evaluation score.

  • Shortlist high-quality candidates.

  • Flag applications for manual review.

  • Automatically reject low-scoring candidates.

Technologies You'll Use

Backend

  • Java

  • Spring Boot

  • Spring Security

  • JWT Authentication

  • Spring Data JPA (Hibernate)

  • PostgreSQL

  • Apache Kafka

  • Spring Cloud

  • API Gateway

  • Eureka Server

  • Config Server

  • OpenFeign

  • RESTful APIs

  • Docker

  • Docker Compose

  • Maven

  • Java Mail Sender

  • AI API Integration

Frontend

  • React

  • Redux Toolkit

  • React Router DOM

  • Tailwind CSS

  • Shadcn UI

  • Axios

  • Responsive UI Development

  • Reusable Component Architecture

Who this course is for

This course is designed for developers who already know the basics and want to learn how professional applications are actually built.

This course is ideal if you:

  • Have basic knowledge of Java and Spring Boot.

  • Have basic knowledge of React.

  • Understand the fundamentals of REST APIs and databases.

  • Have a basic understanding of microservices.

  • Want to build real-world portfolio projects.

  • Want to prepare for full-stack Java developer interviews.

  • Want to understand how production-grade applications are designed and developed.

Requirements

  • Basic Java programming knowledge.

  • Basic Spring Boot knowledge.

  • Basic React knowledge.

  • Basic SQL and database concepts.

  • A computer capable of running Docker.

  • A willingness to build a large real-world project.

Why take this course?

By the end of this course, you won't just know individual technologies—you'll know how to combine them to build a complete, scalable, production-grade application from scratch.

You'll gain hands-on experience with modern backend development, frontend development, microservices, event-driven architecture, containerization, and AI integration, while building an impressive project that you can confidently showcase in your portfolio and discuss during technical interviews.

See more

FAQ

FAQ area empty

Course curriculum

Requirment

  • Basic knowledge of Java, spring boot and react

Outcomes

  • Build a complete AI-powered Job Portal from scratch using Java, Spring Boot Microservices, and React.

  • Design and implement a production-grade microservices architecture used in real software companies.

  • Develop secure REST APIs using Spring Boot, Spring Security, and JWT Authentication.

  • Configure API Gateway, Eureka Service Discovery, Config Server, and OpenFeign with Spring Cloud.

  • Build event-driven microservices using Apache Kafka for asynchronous communication.

  • Containerize and deploy multiple microservices using Docker and Docker Compose.

  • Develop a modern React application with Redux Toolkit, React Router, Tailwind CSS, Shadcn UI, and Axios.

  • Implement authentication, authorization, and role-based access control for employers and job seekers.

  • Create job posting, job search, resume management, and online application workflows.

  • Integrate AI APIs to analyze resumes and generate personalized feedback for candidates.

  • Build an AI-powered candidate screening system that scores, shortlists, reviews, and rejects applications automatically.

  • Implement email notifications using Java Mail Sender for important application events.

  • Gain practical experience with technologies commonly used by modern Java development teams.

  • Build a portfolio-quality project that demonstrates enterprise-level backend and frontend development skills.

  • Apply clean architecture, layered design, DTOs, validation, exception handling, and best coding practices.

Instructor

...
Ashok Zarmariya

0.0

  • ... 0 Student
  • ... 2 Courses
  • ... 0 review

View Details

Reviews

Rate this course :

Remove all