6–9 Months | 36 Weeks | 500–650+ Hours — Java • Spring Boot • React • SQL • REST API • Microservices • Cloud • DevOps • AI. Theory + Coding Lab + Backend Lab + Frontend Lab + Database Lab + API Lab + DevOps + Cloud + Industry Capstone.
Core positioning: Don't just learn Java and React. Learn to design, develop, test, deploy and maintain production-ready full-stack applications.
Student journey: Programming Fundamentals → Java → OOP → DSA → SQL & Database → HTML + CSS → JavaScript → React → REST API → Spring Boot → Authentication & Security → Testing → Git & GitHub → Docker → Cloud → CI/CD → Microservices → AI Integration → Production Application.
Core promise: Don't just learn Java and React. Learn to build production-ready software from frontend to cloud.
Target career roles
- React Developer, Frontend Developer, JavaScript Developer, UI Developer
- Java Developer, Java Backend Developer, Spring Boot Developer, API Developer
- Full Stack Developer, Java Full Stack Developer, Software Engineer, Application Developer
- Microservices Developer, Cloud Application Developer, DevOps-oriented Developer, AI Application Developer
Program architecture (16 phases)
- Phases 1–3 (Wk 1–8): Programming fundamentals, Core Java, Advanced Java & DSA
- Phases 4–6 (Wk 9–15): SQL, HTML/CSS, JavaScript
- Phases 7–8 (Wk 16–23): React, Spring Boot
- Phases 9–12 (Wk 24–27): Full stack integration, Security, Testing, Git/Docker/DevOps
- Phases 13–15 (Wk 28–30): Cloud, Microservices, AI integration
- Phase 16 (Wk 31–36): Specialization + RASA Full Stack Product Challenge Capstone
Phase 1 — Programming Fundamentals (Weeks 1–2)
Module 01 — Computer & Software Fundamentals
- Computer architecture, OS, files, processes, memory, networking, client/server, HTTP/HTTPS, browser architecture
- Dev environment: JDK, IDE, Git, Node.js, npm, database, API testing tools
Module 02 — Programming Logic
- Variables, data types, operators, conditions, loops, functions, arrays, strings
- Number, string, array, pattern and logical problem solving
Phase 2 — Core Java (Weeks 3–6)
Module 03 — Java Fundamentals
- Java architecture, JDK, JRE, JVM, compilation, bytecode
- Syntax: variables, types, operators, conditions, loops, methods, arrays
Module 04 — Object-Oriented Programming
- Class, object, constructor, encapsulation, inheritance, polymorphism, abstraction
- Interfaces, abstract classes, composition, dependency concepts
- Project: Library Management System
Modules 05–08 — Exceptions, Collections, Java 8+, Multithreading
- try/catch/finally, custom exceptions, input validation, business exceptions
- ArrayList, LinkedList, HashSet, TreeSet, HashMap, TreeMap, Queue, Generics, Comparable, Comparator
- Lambda, functional interfaces, Stream API, Optional, method references
- Threads, Runnable, synchronization, locks, ExecutorService, concurrency awareness
Phase 3 — DSA & Problem Solving (Weeks 7–8)
Deep-dive available as standalone programme: Professional Data Structures & Algorithms (600+ problem bank, 17 phases).
Module 09 — Data Structures
- Arrays, linked lists, stack, queue, hash tables, trees, graphs
- Searching, sorting, recursion, traversal
Module 10 — Algorithmic Problem Solving
- Time/space complexity, Big-O, optimization
- Interview preparation: coding assessments, technical and backend interviews
Phase 4 — SQL & Database (Weeks 9–10)
Module 11 — SQL
- Tables, PK/FK, constraints; SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, HAVING, subqueries
Module 12 — Advanced SQL
- Indexes, views, stored procedures awareness, transactions, ACID, normalization
- PostgreSQL / MySQL primary; MongoDB and Redis awareness
Module 13 — Database Design
- Requirement → ER diagram → schema → tables → relationships → indexes
- Project: E-commerce database
Phase 5 — HTML & CSS (Weeks 11–12)
Module 14 — HTML5
- Semantic HTML, forms, tables, media, accessibility
Module 15 — CSS
- Selectors, box model, Flexbox, Grid, positioning, responsive design, animations
- Project: Responsive business website
Phase 6 — JavaScript (Weeks 13–15)
Module 16 — JavaScript Fundamentals
- Variables, functions, objects, arrays, destructuring, spread/rest, modules
Module 17 — Modern JavaScript
- ES6+, arrow functions, promises, async/await, closures, callbacks, error handling
Module 18 — Browser Programming
- DOM, events, forms, local storage, Fetch API, JSON
- Project: Interactive task-management application
Phase 7 — React (Weeks 16–19)
Modules 19–22 — React Core & API Integration
- Components, JSX, props, state, events; counter, todo, product catalogue
- useState, useEffect, useContext, useReducer, custom hooks
- Component design, routing, forms, validation (login, dashboard, products, profile, admin)
- React → HTTP → Spring Boot REST → Database; GET/POST/PUT/PATCH/DELETE, loading and error states
Modules 23–24 — Advanced React & TypeScript
- Performance, memoization, lazy loading, code splitting, error boundaries
- Context, Redux Toolkit, query/caching libraries
- TypeScript: types, interfaces, generics, React with TypeScript
- Project: TypeScript React dashboard
Phase 8 — Spring Boot (Weeks 20–23)
Modules 25–27 — Spring & REST API
- Dependency Injection, IoC, beans, application context
- Spring Boot structure, configuration, profiles, auto-configuration
- Controller → Service → Repository → Database; DTO, validation, exception handling, HTTP status codes
Modules 28–29 — Spring Data JPA & Advanced
- Entities, repositories, JPQL, transactions; one-to-one, one-to-many, many-to-many
- Pagination, sorting, filtering, logging, OpenAPI / Swagger
- Project: Employee Management REST API
Phase 9 — Full Stack Integration (Week 24)
Module 30 — React + Spring Boot
- React → REST API → Spring Boot → JPA → PostgreSQL
- Project: Complete Employee Management System — login, CRUD, search, filter, pagination, roles, dashboard
Phase 10 — Security (Week 25)
Module 31 — Web Security
- Authentication, authorization, sessions, cookies, tokens, password hashing
Module 32 — Spring Security
- JWT authentication, role-based access, endpoint protection, CORS, CSRF awareness
- Roles: Admin → Manager → User
Module 33 — Secure React Application
- Login, logout, protected routes, role-based UI, token handling, session expiry
Phase 11 — Testing (Week 26)
Module 34 — Java Testing
- Unit and integration testing, TDD awareness; JUnit, Mockito
Module 35 — API Testing
- REST APIs, authentication, validation, error responses; Postman
Module 36 — React Testing
- Component testing, user interaction, integration testing
Phase 12 — Git, Docker & DevOps (Week 27)
Module 37 — Git & GitHub
- Repository, commit, branch, merge, pull request, conflict resolution, code review
- Professional workflow: Developer → Branch → PR → Review → Merge
Module 38 — Docker
- Containers, images, Dockerfile, Docker Compose
- Containerize React + Spring Boot + Database
Module 39 — CI/CD
- Code → Build → Test → Package → Deploy
- GitHub Actions, Jenkins awareness
Phase 13 — Cloud (Week 28)
Module 40 — Cloud Fundamentals
- Compute, storage, database, networking, security; AWS primary, Azure/GCP awareness
Module 41 — Deploy Full Stack Application
- User → Frontend → Backend API → Database; deploy real application to cloud
Phase 14 — Microservices (Week 29)
Module 42 — Microservices
- Monolith vs microservices; distributed services architecture
Module 43 — Spring Boot Microservices
- Service separation, API communication, configuration, service discovery, resilience
- User, Product, Order, Payment services
Module 44 — Messaging
- Kafka, RabbitMQ awareness; Order → Inventory → Payment → Notification
Phase 15 — AI for Full Stack Development (Week 30)
Module 45 — AI-Assisted Development
- Code generation, debugging, refactoring, documentation, test generation, SQL/API design
- Review and validate generated code — never blindly accept AI output
Module 46 — Integrating AI into Applications
- React → Spring Boot → AI Service → Model/API → Database
- Chat, document processing, classification, search, summarization, recommendation
Module 47 — RAG Application
- Documents → chunking → embeddings → vector store → retrieval → LLM → response
- Project: AI knowledge assistant for enterprise documents
Phase 16 — Specialization Tracks & Capstone (Weeks 31–36)
Five specialization tracks
- A — Java Backend Engineering: Spring Boot, JPA, REST, security, microservices, Kafka
- B — React & Frontend Engineering: React, TypeScript, state management, performance, testing
- C — Full Stack Cloud Engineering: AWS, Docker, CI/CD, Kubernetes awareness, observability
- D — Full Stack + AI: AI APIs, RAG, vector databases, AI agents awareness
- E — Enterprise Java: Microservices, Kafka, security, distributed systems
RASA Full Stack Product Challenge — capstone options
- Option 1 — E-commerce Platform: React + TypeScript, Spring Boot, PostgreSQL
- Option 2 — Education Management Platform: student, trainer, courses, assessments (aligns with RIA)
- Option 3 — Hospital Management: connects with Medical Robotics
- Option 4 — EV Management Platform: connects with EV Engineering
- Option 5 — Industrial Monitoring: PLC/sensor data → Spring Boot → React dashboard (Industrial Automation)
- Option 6 — AI Enterprise Copilot: React → Spring Boot → RAG → vector DB
RASA Full Stack Engineering Lab — cross-disciplinary software layer
- EV: sensors/BMS → backend API → React EV dashboard → analytics/AI
- Industrial Automation: PLC/IIoT → Spring Boot → React smart factory dashboard
- Medical Robotics: robot/sensor data → backend → healthcare dashboard → AI analytics
- Drone Engineering: telemetry → API → React ground station dashboard
- Fuel Cell / PEMFC: sensors → IoT gateway → Java backend → monitoring dashboard
Toolkit, portfolio, interview prep, certification & assessment
Software toolkit
- Java, Spring Boot, React, JavaScript/TypeScript, PostgreSQL/MySQL, JPA/Hibernate, Spring Security
- JUnit/Mockito, Postman, Git/GitHub, Maven, Docker, GitHub Actions/Jenkins, AWS, Kafka, Redis, pgvector
12+ portfolio projects
- Banking console, library system, employee management, e-commerce DB, todo, dashboard, Spring REST API, auth system, full-stack employee platform, e-commerce app, microservices, cloud deployment, AI full-stack app
Interview preparation module
- Java (OOP, collections, multithreading), SQL, React, Spring Boot, system design, DSA coding
Three RASA certification levels
- Level 1 — Java & Web Development Professional: Java + OOP + SQL + HTML + CSS + JavaScript
- Level 2 — Professional Java Full Stack Developer: Java + Spring Boot + React + REST + Security + Testing
- Level 3 — Advanced Full Stack & Cloud Engineer: Microservices + Docker + Cloud + CI/CD + AI
Assessment framework (100%)
- Java + DSA (20%), SQL & Database (10%), JavaScript + React (20%), Spring Boot + REST (20%), Security + Testing (10%), DevOps + Cloud (5%), Microservices + AI (5%), Capstone (10%)
Seven engineering layers: PROGRAMMING (Java + DSA) → DATA (SQL + Redis) → FRONTEND (HTML + CSS + JS + React + TypeScript) → BACKEND (Spring Boot + REST + JPA) → ENTERPRISE (Security + Testing + Microservices + Kafka) → CLOUD (Docker + CI/CD + AWS) → INTELLIGENCE (AI + RAG + AI-powered applications).
Professional workflow: Requirement → User Story → Architecture → Database Design → API Design → Frontend → Backend → Integration → Testing → Git → CI/CD → Cloud Deployment → Monitoring → Maintenance.
Cross-program links: Cloud & DevOps · Data Science & AI · Industrial Automation · EV Engineering · Medical Robotics · UX & Product Design
Enquire about this program · View full programme page
