JAVA

Enterprise Java + AI Focus

Built for real corporate development with AI/ML integration. Learn what companies actually use.

Full Stack Java + GenAI

Learn backend with Spring Boot, React fron- tend & Generative AI integration.

LLM Integration Ready

Build applications powered by OpenAI, Spring AI, LangChain for Java & vector databases.

AI-Powered Projects

8+ projects integrating AI/ML into real enter-Prise Systems

AI/ML With Java

Built for real corporate development with AI/ML integration. Learn what companies actually use.

Spring AI & GenAI

Spring AI framework, LLM APIs, prompt en- gineering, RAG patterns, chatbots with Java backend.

DevOps for AI

Docker, CI/CD, MLOps fundamentals for de-Ploying AI models.

AI Engineer Ready

Real AI projects, LeetCode DSA, TCS/Infosys AI roles - Rs.12-30 LPA.

"Enterprise Java engineers are some of the highest-paid developers. This program bridges the gap from student to enterprise-ready developer."

• Java Basics & Setup (JDK, IDEs)
• Variables, Data Types, Casting
• Operators & Control Flow
• Methods & Function Design
• Arrays & ArrayList
• Object-Oriented Programming (OOP)
• Classes, Objects, Inheritance
• Interfaces & Abstract Classes
• Polymorphism & Design Patterns
• Encapsulation & Access Modifiers
• Static Members & Constants
• Exception Handling
• Try-Catch-Finally
• Generics & Collections Framework
• List, Set, Map, Queue
• Iterators & Streams API
• Lambda Expressions
• File I/O & Serialization
• String Processing
• Multithreading Basics
• Synchronization & Locks
• Unit Testing (JUnit)
• Logging (Log4j, SLF4J)
• Maven & Build Systems
• Git & Version Control

Outcome:

"Write production-quality Java code with solid OOP principles, exception handling, collections mastery, and understanding of enterprise-level design patterns."

• Time & Space Complexity Analysis
• Big O Notation (detailed)
• Arrays & Sorting Algorithms
• String Manipulation
• Searching (Binary, Linear)
• Recursion & Backtracking
• Hashing & HashMaps
• Linked Lists
• Stacks & Queues
• Trees (Binary, BST, AVL)
• Graphs & Traversals
• BFS & DFS
• Shortest Path (Dijkstra)
• Dynamic Programming
• Greedy Algorithms
• LeetCode-Style Problems
• Interview Patterns
• Coding Best Practices

Why DSA Matters:

Every top tech company tests DSA. After this module, you'll ace medium-level LeetCode problems and confidently solve interview questions.

• Spring Framework Fundamentals
• Dependency Injection & IoC Container
• Spring Boot Autoconfiguration
• REST API Design & Best Practices
• Controllers & Request Handling
• Request/Response Mapping
• Spring Data JPA
• ORM Concepts & Hibernate
• Database Design & SQL
• Query Optimization
• Transactions & ACID
• Connection Pooling (HikariCP)
• Spring Security
• Authentication (JWT, OAuth2)
• Authorization & Roles
• Exception Handling
• Validation & Error Responses
• Logging & Monitoring
• Testing (Mockito, JUnit)
• API Documentation (Swagger)
• Performance Tuning
• Caching Strategies
• Asynchronous Processing
• CORS & Security Headers

Outcome:

Build secure, scalable REST APIs with authentication, database integration, async support, and full validation — exactly what Fortune 500 companies need.

• JavaScript Fundamentals (ES6+)
• HTML5 & CSS3 Mastery
• React Setup & Vite
• Components & Props
• State Management (Hooks)
• useState, useEffect, useContext
• Conditional Rendering
• Forms & Validation
• Event Handling
• API Integration (Axios/Fetch)
• Connecting to Spring Boot APIs
• Authentication (Token-based)
• React Router
• Reusable Component Design
• Error Handling
• Loading States
• JWT Token Management
• Debugging Full Stack Apps
• Performance Optimization
• Building for Productio

Result:

Build and deploy complete full-stack applications with Spring Boot backend and React frontend, complete authentication, real databases, and production-ready implementations.

• Foundations of Generative AI
• Understanding LLMs (GPT, Claude, etc)
• Spring AI Framework Fundamentals
• OpenAI Integration with Spring AI
• Prompt Engineering Fundamentals
• Zero-Shot & Few-Shot Techniques
• System Prompt Design
• Spring AI Embeddings & Semantic Search
• Vector Databases (Pinecone, FAISS)
• Retrieval-Augmented Generation (RAG)
• LangChain for Java Integration
• Spring AI Chains & Tools
• AI Agents & Multi-Step Reasoning
• Memory & Context Management
• Building AI Chatbots
• Streaming Responses (Real-time UX)
• Error Handling & Rate Limiting
• Full-Stack AI App Integration
• Document Q&A Systems
• Deploying AI Apps to Productio

Hot Skill Alert:

Generative AI engineers are the highest-paid developers right now. Companies desperately need people who build AI products end-to-end. That's you after this.

• Introduction to System Design
• Client-Server Architecture
• HLD & LLD Basics
• API Design Best Practices
• Latency vs Throughput
• Scalability (Vertical & Horizontal)
• Load Balancing
• Caching Fundamentals
• Database Design (SQL vs NoSQL)
• Indexing & Query Optimization
• Database Replication
• Sharding & Partitioning
• CAP Theorem & Consistency Models
• Microservices Architecture
• Message Queues & Event-Driven Systems
• Git & GitHub (Version Control)
• Branching Strategies (GitFlow)
• Docker & Containerization Basics
• Docker Compose for Multi-Service Apps
• Kubernetes Fundamentals
• CI/CD Pipelines (Build, Test, Deploy)
• Cloud Deployment (AWS / GCP / Azure)
• Monitoring, Logging & Alerts
• Production Readiness Checklist
• MLOps for AI Model Deployment

Senior Engineer Mindset:

Most developers can write code. Very few can architect systems at scale. After this module, you'll walk into any system design interview and ace it.

What you will do

• Build a Production-Grade Enterprise Application
• Design RESTful APIs with Spring Boot
• Implement Authentication & Authorization
• Develop React Frontend with Modern UI
• Work with Relational Databases
• Containerize with Docker
• Deploy with CI/CD Pipelines
• Implement System Design Patterns
• Follow Enterprise Best Practices
• Ship a Live Production Application

Outcome

You will build, deploy, and launch a real production-ready enterprise application using Spring Boot and React, demonstrating your ability to design scalable systems, implement security, and deliver end-to-end solutions just like engineers at TCS, Accenture, and Oracle.