About Course

About Course

The AI-Assisted Java Full Stack Development Program is a comprehensive, industry-oriented training program designed to prepare students for modern software development careers. The program covers Java programming, software engineering practices, database development, backend application development using Spring Boot, frontend development using React, and full stack application development.

Students will learn to build enterprise-grade applications using Java, Spring Boot, PostgreSQL, React, REST APIs, and modern development tools while leveraging AI-powered development assistants such as ChatGPT, GitHub Copilot, and Gemini to enhance productivity, code quality, testing, debugging, and documentation.

The program focuses on hands-on implementation, real-world projects, coding standards, and placement readiness to help learners become industry-ready Full Stack Developers.

Who Should Enroll

• Fresh Graduates

• Engineering Students

• Career Switchers

• Aspiring Full Stack Developers

• Java Developers

• Backend Developers

• Professionals seeking modern web application development skills

First 3 Modules are Building Blocks – Foundation

• Core Programming Language – Java
• Front End Development – HTML, CSS, JS, React
• Database – MySQL or PostgreSQL

Modules 4 5 6 are makes you profession Job Ready – Expert Level

• Backend Development with Spring Boot – New generation of Python backend development
• Software Engineering & Development Practices – how software is built in real companies
• Full Stack Application Development – How to build a complete product that users can actually use.

Module 1 – Java Programming Fundamentals

Topics Covered

Introduction to Programming & Java

• Programming Fundamentals

• Java Installation & Environment Setup

• JDK, JVM & JRE

• Variables & Data Types

• Operators

• Input & Output Operations

Core Java Programming

• Strings

• Arrays

• Collections Framework

• ArrayList

• LinkedList

• HashMap

• HashSet

Control Flow & Problem Solving

• Conditional Statements

• Loops

• Pattern-Based Programming

• Coding Challenges

• Logical Problem Solving

Methods & Modular Programming

• Methods

• Parameters & Arguments

• Return Values

• Method Overloading

• Packages

Object-Oriented Programming

• Classes & Objects

• Constructors

• Encapsulation

• Inheritance

• Polymorphism

• Abstraction

• Interfaces

Exception Handling

• Exception Types

• Try-Catch Blocks

• Custom Exceptions

• Best Practices

Advanced Java

• File Handling

• Generics

• Streams API

• Lambda Expressions

• Functional Interfaces

AI-Assisted Development Fundamentals

• Introduction to AI Coding Assistants

• Prompting for Developers

• AI-Assisted Code Generation

• AI-Assisted Debugging

• AI-Assisted Refactoring

• AI-Based Code Review

Hands-on

• Banking Application

• Student Management System

• Inventory Management System

• Employee Management System

• Collection Framework Exercises

• AI-Assisted Coding Assignments

Tools & Technologies Covered

• Java

• IntelliJ IDEA / Eclipse

• ChatGPT

• Gemini

Expected Outcomes

Students will be able to:

• Develop applications using Java

• Apply object-oriented programming concepts

• Solve programming problems efficiently

• Utilize collections and modern Java features

• Use AI tools to enhance development productivity

Module 2 – Frontend Development with React

Topics Covered

Web Development Fundamentals

• HTML5

• Semantic HTML

• Forms

• CSS3

• Flexbox

• CSS Grid

• Responsive Design

Bootstrap

• Grid System

• Components

• Responsive Layouts

JavaScript Fundamentals

• Variables

• Functions

• Arrays

• Objects

• DOM Manipulation

Modern JavaScript

• ES6 Features

• Arrow Functions

• Modules

• Promises

• Async/Await

• Fetch API

React Fundamentals

• React Architecture

• Components

• JSX

• Props

• State

• Event Handling

Advanced React

• React Hooks

• useState

• useEffect

• Context API

• Routing

• API Integration

AI-Assisted Frontend Development

• UI Generation using AI

• Component Generation

• Frontend Debugging

• AI-Assisted Optimization

Hands-on

• Portfolio Website

• Dashboard Application

• CRUD Application

• API Integration Project

Tools & Technologies Covered

• HTML5

• CSS3

• Bootstrap

• JavaScript

• React

• Vite

Expected Outcomes

Students will be able to:

• Build responsive user interfaces

• Develop React applications

• Integrate frontend and backend systems

• Utilize AI tools for frontend development

Module 3 – Database Design & SQL Development

Topics Covered

Database Fundamentals

• Introduction to Databases

• Relational Database Concepts

• Database Design Principles

• ER Diagrams

• Normalization

SQL Fundamentals

• Database Objects

• Tables

• Constraints

• Data Types

• CRUD Operations

Advanced SQL

• Joins

• Aggregations

• Group By

• Having Clause

• Subqueries

• Views

Database Programming

• Stored Procedures

• Functions

• Triggers

• Transactions

Performance Optimization

• Indexes

• Query Optimization

• Database Best Practices

AI-Assisted Database Development

• SQL Query Generation using AI

• Database Design Assistance

• Query Optimization using AI

• SQL Debugging using AI

Hands-on

• Employee Management Database

• Banking Database

• E-Commerce Database Design

• SQL Query Challenges

Tools & Technologies Covered

• PostgreSQL

• SQL

• pgAdmin

Expected Outcomes

Students will be able to:

• Design relational databases

• Write complex SQL queries

• Optimize database performance

• Integrate database concepts into applications

Module 4 – Software Engineering & Development Practices

Topics Covered

Software Development Fundamentals

• SDLC Concepts

• Agile Methodology

• Scrum Framework

• Software Development Best Practices

• Coding Standards

Version Control

• Git Fundamentals

• Git Commands

• Branching & Merging

• Pull Requests

• Repository Management

GitHub Collaboration

• GitHub Workflows

• Code Reviews

• Issue Tracking

• Team Collaboration

Testing Fundamentals

• Testing Concepts

• Unit Testing

• Integration Testing

• Test Planning

JUnit Framework

• JUnit Fundamentals

• Assertions

• Test Suites

• Mocking Basics

CI/CD Fundamentals

• Continuous Integration

• Continuous Deployment

• GitHub Actions

• Build Pipelines

AI-Assisted Software Engineering

• AI-Powered Documentation

• AI Test Case Generation

• AI Code Reviews

• AI Bug Analysis

Hands-on

• GitHub Collaboration Exercises

• JUnit Assignments

• Code Review Activities

• CI/CD Pipeline Setup

Tools & Technologies Covered

• Git

• GitHub

• JUnit

• GitHub Actions

• ChatGPT

• GitHub Copilot

Expected Outcomes

Students will be able to:

• Follow professional software development practices

• Manage source code using Git and GitHub

• Create automated tests

• Implement CI/CD workflows

• Utilize AI throughout the development lifecycle

Module 5 – Backend Development with Spring Boot

Topics Covered

Spring Framework Fundamentals

• Spring Architecture

• Dependency Injection

• Inversion of Control (IoC)

• Bean Management

Spring Boot Fundamentals

• Spring Boot Introduction

• Project Structure

• Configuration Management

• Application Properties

REST API Development

• REST Architecture

• Controllers

• Request Mapping

• Response Handling

• Validation

Spring Data JPA

• ORM Concepts

• Entity Mapping

• Repository Pattern

• CRUD Operations

• Relationships

Security & Authentication

• Spring Security Fundamentals

• Authentication

• Authorization

• JWT Authentication

• Role-Based Access Control

Exception Handling & Logging

• Global Exception Handling

• Logging Fundamentals

• Application Monitoring Concepts

AI-Assisted Backend Development

• API Design using AI

• Documentation Generation

• Debugging Support

• Backend Code Optimization

Hands-on

• User Management API

• Product Management API

• Authentication System

• Inventory Management Backend

• Spring Boot CRUD Application

Tools & Technologies Covered

• Spring Boot

• Spring Data JPA

• Spring Security

• JWT

• Maven

Expected Outcomes

Students will be able to:

• Build enterprise-grade REST APIs

• Implement authentication and authorization

• Develop backend applications using Spring Boot

• Integrate databases using JPA

• Apply security best practices

Module 6 – Full Stack Application Development

Topics Covered

Full Stack Architecture

• Client-Server Architecture

• Application Layering

• Project Structuring

• Design Principles

Frontend & Backend Integration

• React + Spring Boot Integration

• API Consumption

• Data Validation

• Error Handling

Security Implementation

• Authentication Flow

• Authorization Flow

• JWT Integration

• Session Management

Production Readiness

• Environment Configuration

• Logging Concepts

• Performance Optimization

• Deployment Fundamentals

AI Feature Integration

• OpenAI API Fundamentals

• Gemini API Fundamentals

• AI-Assisted Business Features

Building AI-Enabled Applications

• AI Resume Analyzer

• AI FAQ Assistant

• AI Content Generator

• AI Customer Support Portal

Capstone Projects

Students will develop industry-oriented projects such as:

Enterprise Applications

• Employee Management System

• Learning Management System

• CRM Application

• Inventory Management System

Advanced Applications

• E-Commerce Platform

• Hospital Management System

• Banking Management System

AI-Enabled Applications

• AI Resume Screening System

• AI Interview Preparation Assistant

• AI Customer Support Portal

• AI Knowledge Base Assistant

Tools & Technologies Covered

• React

• Spring Boot

• PostgreSQL

• JWT

• OpenAI API

• Gemini API

Expected Outcomes

Students will be able to:

• Build complete full stack applications

• Integrate frontend and backend systems

• Implement secure authentication mechanisms

• Integrate AI-powered capabilities into applications

• Develop industry-ready portfolio projects

Tools & Technologies Covered Across the Program

• Java

• IntelliJ IDEA / Eclipse

• Git

• GitHub

• JUnit

• PostgreSQL

• SQL

• Spring Boot

• Spring Data JPA

• Spring Security

• JWT

• Maven

• HTML5

• CSS3

• Bootstrap

• JavaScript

• React

• Vite

• ChatGPT

• GitHub Copilot

• Gemini

• OpenAI API

Career Opportunities

Upon successful completion of the program, learners can pursue roles such as:

• Java Full Stack Developer

• Java Developer

• Backend Developer

• Spring Boot Developer

• React Developer

• Web Application Developer

• Software Engineer

• API Developer

• AI-Assisted Application Developer

• Junior Software Developer

Expected Outcomes of the Program

By the end of this program, learners will be able to:

• Develop robust applications using Java

• Apply object-oriented programming principles effectively

• Design and manage relational databases

• Build enterprise-grade REST APIs using Spring Boot

• Implement authentication and authorization mechanisms

• Develop modern frontend applications using React

• Apply software engineering best practices

• Utilize AI tools throughout the software development lifecycle

• Build complete full stack applications

• Integrate AI-powered features into business applications

• Create a professional portfolio of projects

• Prepare confidently for software development careers and placement opportunities