Become a job-ready Full Stack Java Developer with AI
Master Core Java, Spring Boot and React — then go further and build real applications powered by LLMs, generative AI and Spring AI, backed by projects and interview coaching that carry you to the offer.
Still deciding? Talk to a mentor first.
A free 15-minute call to map your path to a job-ready Full Stack Java Developer with AI — honest guidance, zero pressure.
- Personalised learning roadmap
- Full syllabus, batch dates & fees
- Scholarships & no-cost EMI options
- Placement & interview support
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The enterprise stack, now
supercharged with AI
Java has powered banking, insurance, retail and government systems for two decades — and those systems still need building. Now every one of them is racing to add AI. Pair the most consistently-hired backend skill in Hyderabad with the ability to build AI features, and you become the developer teams are scrambling to find.
Java remains among the most requested backend skills in Indian enterprise job listings.
Every company is racing to ship AI features — developers who can actually build them are scarce.
Portfolio projects — including AI-powered apps — you can walk an interviewer through line by line.
Front-end, back-end, database, deployment and AI — the complete modern developer skill set.
Built for four kinds
of people
Whatever you’re starting from, the course begins at fundamentals and takes you to job-ready — with the AI skills employers now expect.
Students & freshers
Final-year students and recent graduates who want a real skill and a portfolio before applying.
Non-IT career switchers
Coming from a non-technical background. We start at zero — no coding experience assumed.
Working professionals
Upskilling into development or moving from support and testing into a coding role. Weekend batches available.
Self-taught coders
You know some syntax but need structure, real projects and someone to review your code properly.
Four phases, twelve modules,
one AI-ready developer
Every module ends in hands-on work. Nothing here is theory-only.
Java foundation
Start from programming logic and finish able to write clean, object-oriented Java — using AI coding assistants the way modern teams do.
Programming foundations & Core Java
Weeks 1–3Programming logic·JDK, JRE & JVM·Data types & operators·Control flow·Arrays·Methods·Strings & StringBuilder·AI pair-programming (GitHub Copilot)
Object-oriented programming
Weeks 3–5Classes & objects·Inheritance·Polymorphism·Abstraction·Encapsulation·Interfaces·Exception handling·Design principles
Advanced Java essentials
Weeks 5–7Collections framework·Generics·Streams API·Lambda expressions·Multithreading·File & I/O·Java 17 features·JUnit testing
Data & AI foundations
Model and persist data the way production systems do — then learn how LLMs, embeddings and vector search work, ready to build AI in Java.
Databases, SQL & vector stores
Weeks 7–9RDBMS concepts·MySQL·DDL, DML & DQL·Joins & subqueries·Indexes·Transactions·Schema design·Intro to vector databases
JDBC, Hibernate & Spring Data JPA
Weeks 9–10JDBC API·Connection pooling·ORM concepts·Hibernate mappings·Spring Data JPA·Repositories·Query methods·Relationships
AI foundations for Java developers
Weeks 10–11How LLMs work·Tokens & embeddings·Prompt engineering basics·Calling AI APIs from Java·Vector search concepts·AI vs rules-based logic·Responsible & safe AI·Cost & latency basics
Full stack & Generative AI
Add the interface, the framework and the intelligence — build modern UIs and start wiring generative AI into them.
Front-end fundamentals
Weeks 11–13HTML5·CSS3 & Flexbox·Responsive layouts·JavaScript ES6·DOM manipulation·Fetch & async·Bootstrap·Dev tools
React front-end development
Weeks 13–15Components & JSX·Props & state·Hooks·React Router·Forms & validation·API integration·Building AI chat UIs·Component design
Spring Core & Spring Boot
Weeks 15–18IoC & dependency injection·Spring beans·Spring MVC·Boot starters·Auto-configuration·Profiles & properties·Actuator·Logging
AI apps, production & career
Turn your stack into AI-powered products — then ship them and get interview-ready.
REST APIs, security & microservices
Weeks 18–20REST principles·Controllers & DTOs·Validation·Spring Security·JWT authentication·Role-based access·Microservices basics·API gateway
Generative AI & Spring AI
Weeks 20–23LLM fundamentals·Prompt engineering·OpenAI & Gemini APIs·Embeddings & tokens·Spring AI·Retrieval-Augmented Generation (RAG)·Vector databases·Chatbots & AI agents
Deployment, AI capstone & interview prep
Weeks 23–26Maven·Git & GitHub·Docker·CI/CD intro·AWS deployment·AI-powered capstone·Portfolio & resume·Mock interviews
Want the full module-by-module syllabus?
We’ll send the complete curriculum PDF along with batch dates and fee details.
You graduate with a
portfolio, not just notes
Four complete applications — including AI-powered builds — created the way real teams work: version controlled, reviewed and deployed.
AI-powered e-commerce platform
Catalogue, cart and checkout with secure auth — plus AI product recommendations and a generative-AI support chatbot.
Banking application
Accounts, transfers, statements and transaction history — with the validation and transactional integrity a financial system demands.
AI knowledge assistant (RAG)
A chatbot that answers from your own documents using retrieval-augmented generation, embeddings and a vector database.
Capstone — your own AI build
Scope, design and ship an AI-powered application of your choosing, with mentor guidance and code review at every stage.
The complete
working stack
Core & back-end
- Java 17
- OOP
- Collections
- Streams
- Multithreading
- JUnit
Frameworks
- Spring Core
- Spring Boot
- Spring MVC
- Spring Data JPA
- Spring Security
- Hibernate
Front-end
- HTML5
- CSS3
- JavaScript ES6
- React
- Bootstrap
- Responsive design
Database
- MySQL
- SQL
- JDBC
- Schema design
- Vector databases
- Query optimisation
AI & Generative AI
- Spring AI
- LangChain4j
- OpenAI & Gemini APIs
- Prompt engineering
- RAG
- Embeddings
- Vector databases
- GitHub Copilot
DevOps & tools
- Git & GitHub
- Maven
- Docker
- AWS
- Postman
- IntelliJ IDEA
- Swagger
Roles you can apply for
when you finish
The same skill set opens several doors — from core Java roles to the fast-growing AI-developer titles our learners now target.
Full Stack Java Developer
Own features end to end, from React interface through to database and services.
AI Application Developer
Build LLM-powered features and integrate generative AI into enterprise applications.
Backend Developer
Design REST APIs, data models and integrations that other teams build on.
Generative AI Developer
Design RAG pipelines, chatbots and AI agents on top of Spring AI and vector stores.
Spring Boot Developer
Specialise in the framework most Indian enterprises run their services on.
Software Engineer
General engineering roles where strong Java fundamentals are the entry requirement.
Resume & portfolio
We rewrite your resume around your projects and set up a GitHub that reads well to a reviewer.
Interview drills
Core Java, Spring, AI-integration and DSA question banks, practised until the answers are automatic.
Mock interviews
Technical and HR rounds with working developers, followed by honest feedback.
Hiring introductions
Your profile shared with our hiring-partner network as suitable roles open up.
Pick a batch
that fits your week
EDIT: replace the dates and timings below with your actual batch schedule.
Weekday morning batch
Weekday evening batch
Weekend batch — for working professionals
What every enrolment includes
- Live instructor-led sessions with recordings for revision
- Small batches with dedicated doubt-clearing time
- Four portfolio projects — including AI-powered builds — with mentor code review
- Resume building and mock interview rounds
- Placement assistance that continues after your last class
- Course completion certificate
Everything you’re
probably wondering
EDIT the answers to match DSU’s actual policies before publishing.
No. Module 1 starts with programming logic and Core Java from first principles. A large share of our Java learners come from non-IT backgrounds and have never written code before.
The program runs 6–7 months — the extra time over a plain Java course covers the AI-foundations, Spring AI and generative-AI modules. Weekday batches are two hours a day; weekend batches are three hours per day across Saturday and Sunday. Plan for a similar amount of practice time outside class — that’s where the learning consolidates.
EDIT: state your fee here, along with any instalment or EMI options. Being upfront about pricing on this page will improve enquiry quality — people who can’t find a price often assume the worst and leave.
We provide placement assistance — resume preparation, mock interviews and introductions to our hiring-partner network — and that support continues after your final class. We don’t promise a guaranteed job, because no honest training provider can. What we can promise is that you’ll finish interview-ready with real projects to show. EDIT this to match your policy exactly.
Yes. Book a free demo session and a one-to-one counselling call. You’ll meet the trainer, see how a session runs and get the full syllabus before committing to anything.
Every class is recorded and available to you, so you can catch up on your own schedule. You can also raise anything unclear in the dedicated doubt-clearing sessions.
No. The AI modules start from the basics — how LLMs work, prompt engineering and the Spring AI tools to call them from Java. There’s no heavy maths, and no second language to learn: you build every AI feature in Java. The focus is on building and integrating AI into real Java applications (chatbots, RAG assistants, recommendations), not on AI research. You get both the enterprise Java skills employers hire for and the AI edge that sets you apart.
Become an AI-ready Java developer
Book a free counselling session. We’ll walk you through the syllabus, batch options and fees — and tell you honestly whether this course is right for you.