Java Full Stack Engineering with Generative AI
Master enterprise Java, Spring Boot microservices, React, and production LLM integrations.
Curriculum Preview & Board Review Status
This program is currently in final curriculum review. Batch schedules, exact instructor allocations, and fee schedules are pending final academic board approval. You can register your interest below to receive verified launch updates.
Program Overview
A comprehensive, hands-on engineering track designed to bridge the gap between academic theory and production software engineering. You will learn modern Core Java, Spring Boot microservices, RESTful API architecture, React frontend fundamentals, and how to integrate Generative AI (OpenAI API, LangChain4j, Vector Databases) into real enterprise systems.
Key Skills & Stack Practiced
Intended Audience
- B.Tech, B.E., MCA, and BCA students preparing for technical interviews and major capstone projects
- Fresh engineering graduates wanting job-ready full-stack Java skills
- Junior developers seeking to transition into enterprise backend microservices and GenAI tooling
Prerequisites
- Basic understanding of any programming language (variables, loops, and conditions)
- High school mathematics and logical reasoning
- A laptop with at least 8GB RAM running Windows, macOS, or Linux
Structured Phase-by-Phase Syllabus
Each phase introduces core engineering abstractions with hands-on exercises and milestone deliverables.
Java 21 Fundamentals & Object-Oriented Mastery
Master modern Java syntax, collections framework, lambda expressions, streams, and design patterns essential for enterprise software.
Core Topics
- JVM Architecture, Memory Model, Garbage Collection
- OOP Principles: Encapsulation, Polymorphism, Abstract Classes, Interfaces
- Generics & Java Collections Framework (List, Set, Map)
- Java 8 to 21 features: Records, Pattern Matching, Sealed Classes, Virtual Threads
Hands-on Exercises
- Build an in-memory student grading and inventory engine using Collections and Streams
- Implement custom exception hierarchies and structured logging with SLF4J
Learning Outcomes
- Write clean, idiomatic Java following SOLID principles
- Understand memory efficiency and garbage collection behaviors
Basic logic and high-school mathematics
Master modern Java syntax, collections framework, lambda expressions, streams, and design patterns essential for enterprise software.
- •JVM Architecture, Memory Model, Garbage Collection
- •OOP Principles: Encapsulation, Polymorphism, Abstract Classes, Interfaces
- •Generics & Java Collections Framework (List, Set, Map)
- •Java 8 to 21 features: Records, Pattern Matching, Sealed Classes, Virtual Threads
- •Build an in-memory student grading and inventory engine using Collections and Streams
- •Implement custom exception hierarchies and structured logging with SLF4J
How You Build Your Capstone Project
Explore how the flagship project matures from system design to full stack deployment and Viva examination defense.
SmartHealthcare: Microservice Patient Portal with AI Triage
An enterprise healthcare management system featuring Spring Boot microservices, React UI, and an AI-driven symptom triage assistant using vector similarity search.
System Requirements, Architecture & DB Schema
What Changes in this Phase
Defines UML class diagrams, ER models, PostgreSQL schema with foreign keys, and API contracts.
Features Implemented
- •User & Role tables
- •Appointment schema
- •Audit log tables
Skills Practiced
Milestone Deliverables
- •SRS Document (PDF)
- •Database Migration Scripts (.sql)
- •Architecture Diagram
- Q1:Why choose 3rd Normal Form for transactional healthcare data?
- Q2:How do surrogate primary keys compare with composite natural keys?
Defines UML class diagrams, ER models, PostgreSQL schema with foreign keys, and API contracts.
Builds Spring Boot service layer with Spring Security 6, stateless JWT auth, and Spring Data JPA repositories.
Connects React TypeScript frontend to backend endpoints with Axios interceptors and form validations.
Integrates LangChain4j with Pgvector to enable natural language symptom triage and medical knowledge lookup.
Try a Coding Concept
Test core programming mechanics right in your browser through safe client-side simulations.
Deterministic educational demonstration — safe client-side preview
public class Main {
public static void main(String[] args) {
String studentName = "Priya";
int semester = 8;
System.out.println("Welcome to CodeMyFYP Project Studio!");
System.out.println("Candidate: " + studentName + " | Final Semester: " + semester);
}
}Click "Run Demonstration" to inspect output.
Outputs are calculated deterministically for study.
What Support is Included
We focus on genuine learning, deep code comprehension, and academic rigor.
1-on-1 Code Reviews
Direct feedback on your Git pull requests. Line-by-line inspection of code quality, architecture patterns, and naming conventions.
Viva & Interview Defense
Mock technical interviews and Viva cross-examination sessions ensuring you can confidently explain every architectural choice.
IEEE Report Documentation
Complete documentation templates conforming to university standards, including UML diagrams, ER schemas, and testing logs.
Program Details & Queries
Is this program suitable for students with zero prior Java experience?
Yes. Phase 1 starts from core programming foundations, variable scopes, and OOP concepts before moving into advanced frameworks. Basic logical thinking and familiarity with any programming language are recommended.
How does CodeMyFYP support final-year project Viva examinations?
Every milestone in the capstone curriculum includes suggested Viva review questions, architectural defense rationale, and complete IEEE-standard project documentation templates.
Why is Generative AI included in a Java Full Stack track?
Modern enterprise applications increasingly require semantic search, intelligent document extraction, and LLM-assisted workflows. Learning LangChain4j and vector embeddings makes you stand out significantly in competitive campus placements.
Are fees and batch dates currently finalized?
This program is currently listed in preview status. Exact batch dates, schedules, and approved pricing will be confirmed upon formal board approval. Register your enquiry to be notified immediately when registration opens.
Interested in Java Full Stack Engineering with Generative AI?
Submit your enquiry to receive syllabus updates, batch schedules, and preview materials as soon as they are approved.
Zero obligation • Direct technical conversation with engineers • NDA upon request