Module 1: Core Java Fundamentals

• Java architecture & JVM
• Data types, variables & operators
• Control statements & loops
• Arrays & collections
• OOP concepts (Class, Object, Inheritance, Polymorphism, Abstraction)
• Exception handling
• File I/O & packages

🔹 Module 2: Advanced Java

• Multithreading & concurrency
• Java Streams & Lambda expressions
• JDBC basics
• Design patterns (Intro)
• Java best practices

🔹 Module 3: Frontend Development

• HTML5 & semantic tags
• CSS3 & responsive design
• Bootstrap / Tailwind CSS
• JavaScript fundamentals
• ES6 concepts
• API integration using Fetch / Axios
• (React/Angular – overview or optional module)

🔹 Module 4: Spring Framework Core

• Spring architecture
• Dependency Injection (DI)
• Inversion of Control (IoC)
• Spring Beans & Configuration
• Spring MVC
• Exception handling

🔹 Module 5: Spring Boot (Backend Core)

• Spring Boot fundamentals
• Project setup & configuration
• REST controllers
• Request mapping & validation
• Configuration profiles
• Logging & monitoring

🔹 Module 6: Database & ORM (JPA / Hibernate)

• SQL fundamentals
• MySQL / PostgreSQL
• JPA & Hibernate
• Entity mapping
• Relationships (One-to-One, One-to-Many, Many-to-Many)
• Pagination & query optimization

🔹 Module 7: REST API Development

• REST principles & standards
• CRUD APIs
• JSON serialization/deserialization
• Pagination, filtering & sorting
• API versioning
• Swagger / OpenAPI documentation

🔹 Module 8: Authentication & Security

• Spring Security fundamentals
• JWT-based authentication
• Role-based authorization
• OAuth2 (Google / GitHub login)
• Password encryption
• CORS & API security best practices

🔹 Module 9: AI & Machine Learning Foundations

• Introduction to AI & ML
• Supervised & unsupervised learning
• Data preprocessing concepts
• Overview of NLP & recommendation systems
• Using pre-trained AI models & APIs

🔹 Module 10: AI Integration with Java & Spring

• Integrating ML models with Spring APIs
• AI-powered prediction services
• Recommendation engines
• Chatbot integration
• Sentiment analysis APIs
• AI-driven analytics dashboards

🔹 Module 11: Testing & Deployment

• Unit testing (JUnit, Mockito)
• API testing (Postman)
• Exception handling & logging
• Git & GitHub
• Deployment on:
• Cloud platforms (AWS / Azure)
• Linux servers
• Docker basics & CI/CD overview

🔹 Module 12: Capstone Projects

• AI-Based CRM / ERP Module
• Smart Job Recommendation System
• AI-Powered E-Commerce Platform
• Chatbot-Enabled Customer Support System
• Enterprise Full Stack Web Application

🏆 Learning Outcomes

• Build enterprise-grade full stack applications with Java & Spring Boot
• Develop secure and scalable RESTful APIs
• Integrate AI & ML features into Java applications
• Deploy production-ready systems
• Be job-ready for Java Full Stack & AI Developer roles