
Build a full stack ai powered job portal with job seekers, employers, and admins. Implement jwt authentication and core modules for user, company, job, resume, and applications.
Understand high-level microservices database design with per-service data ownership in PostgreSQL; each service owns its data and communicates via API for loose coupling and easier maintenance.
Create the root pom.xml as a pure aggregator for the ai powered job portal, centralizing spring boot 4.0.5, java 21, and shared dependency versions.
Bootstraps and initializes the company microservice for the AI powered job portal project using Java, Maven, and Spring Boot 4.0.5, and sets up a sample home controller.
Implement a job service api by modeling entities such as job, job location and salary range, and by building creation and retrieval endpoints with status, openings, deadlines, and employer validation.
Implement education history APIs for resumes by creating education entity, repository, service, mapper, and controller to add, get, update, and delete education records linked to a resume.
initialize a java spring boot project and set up a netflix eureka server for service discovery, registering it as a child module in parent aggregator and running on port 8761.
Move configuration from local application.yaml to GitHub and use a config server to serve it to microservices via config client.
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.