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This live, mentor-led course takes you from Java basics to building complete full stack applications with Spring Boot, React and databases, then adds AI features using LLM APIs. You practice through nine projects, code reviews and interview preparation, finishing with a deployable portfolio.
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  • Basic computer and internet skills
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  • A laptop with 8 GB RAM preferred
  • Willingness to practice coding daily
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Hands-on skills you will practise in live classes, assignments and projects throughout the course.

Core Java OOP Data Structures Collections Spring Boot REST APIs Spring Security JPA Hibernate MySQL React JavaScript Git and GitHub Docker LLM API Integration Prompt Engineering
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Course Curriculum

What You Will Learn

A carefully sequenced curriculum - every section breaks into modules and hands-on topics taught live by industry experts.

6

Sections

Structure

36

Modules

Depth

216

Topics

Coverage

9

Projects

Practice

Open a section to see its modules and topics.

01 Section 1 Core Java and Object Oriented Programming Build a rock-solid foundation in Java syntax, object oriented design, collections, exceptions, and modern language features that every full stack developer relies on. 6 modules 36 topics
M1.1 Java Fundamentals and Environment Setup Get started with the Java platform, tooling, and the basic building blocks of every Java program.
  1. 1

    Introduction to Java and the JVM

    Understand how Java code is compiled and executed through the JDK, JRE, and JVM. Write and run your first program from the command line.

    JVM JDK Compilation
  2. 2

    Setting Up IDE and Build Tools

    Install IntelliJ IDEA and configure a Java project with Maven basics. Learn to run, debug, and organize code efficiently.

    IntelliJ IDEA Maven Debugging
  3. 3

    Variables and Data Types

    Work with primitive and reference types, literals, type casting, and the var keyword. Learn how Java handles memory for different types.

    Primitives Type Casting Memory
  4. 4

    Operators and Expressions

    Use arithmetic, relational, logical, bitwise, and ternary operators to build expressions. Understand operator precedence and common pitfalls.

    Operators Expressions Precedence
  5. 5

    Input and Output in Java

    Read user input with Scanner and format console output with printf and String.format. Build small interactive console programs.

    Scanner Console IO Formatting
  6. 6

    Java Coding Conventions and Best Practices

    Learn naming standards, code formatting, and commenting with Javadoc. Develop habits that make code readable and maintainable.

    Naming Javadoc Clean Code
M1.2 Control Flow, Arrays, and Strings Master decision making, loops, arrays, and string handling to solve basic programming problems.
  1. 1

    Conditional Statements

    Apply if, else if, switch statements, and switch expressions to control program decisions. Practice with real-world branching scenarios.

    If Else Switch Branching
  2. 2

    Loops and Iteration

    Use for, while, do while, and enhanced for loops to repeat tasks. Control loops with break and continue.

    For Loop While Loop Iteration
  3. 3

    Single and Multidimensional Arrays

    Declare, initialize, and traverse one dimensional and two dimensional arrays. Solve problems such as searching and matrix operations.

    Arrays Matrices Traversal
  4. 4

    String Class and Immutability

    Explore the String class, the string pool, and common methods for manipulation. Understand why strings are immutable.

    String Immutability String Pool
  5. 5

    StringBuilder and Regular Expressions

    Build efficient strings with StringBuilder and validate text using regex patterns. Apply them to input validation tasks.

    StringBuilder Regex Validation
  6. 6

    Problem Solving with Basic Algorithms

    Implement sorting, searching, and pattern problems using loops and arrays. Learn to think through problems step by step.

    Sorting Searching Logic Building
M1.3 Classes, Objects, and Encapsulation Learn to model real-world entities using classes and protect data through encapsulation.
  1. 1

    Classes and Objects

    Define classes with fields and methods and create objects using the new keyword. Understand the difference between class and instance.

    Classes Objects Instances
  2. 2

    Constructors and Object Initialization

    Use default, parameterized, and copy constructors along with constructor chaining. Explore initializer blocks and the this keyword.

    Constructors this Keyword Initialization
  3. 3

    Methods and Overloading

    Write methods with parameters and return values, and apply method overloading. Understand pass by value in Java.

    Methods Overloading Pass by Value
  4. 4

    Access Modifiers and Encapsulation

    Control visibility with private, default, protected, and public modifiers. Build well encapsulated classes with getters and setters.

    Encapsulation Access Modifiers Getters Setters
  5. 5

    Static Members and Packages

    Use static variables, methods, and blocks, and organize code into packages. Learn about imports and project structure.

    Static Packages Imports
  6. 6

    Object Class Methods and Immutable Classes

    Override toString, equals, and hashCode properly and design immutable classes. Understand why these contracts matter.

    equals hashCode Immutability
M1.4 Inheritance, Polymorphism, and Abstraction Apply the core pillars of object oriented programming to design flexible and reusable code.
  1. 1

    Inheritance and the super Keyword

    Create class hierarchies using extends and access parent members with super. Understand constructor behavior in inheritance.

    Inheritance super Hierarchy
  2. 2

    Method Overriding and Runtime Polymorphism

    Override parent methods and see dynamic method dispatch in action. Learn upcasting and downcasting with instanceof.

    Overriding Polymorphism Casting
  3. 3

    Abstract Classes

    Design abstract classes with abstract and concrete methods to share common behavior. Know when to choose abstraction.

    Abstract Class Abstraction Design
  4. 4

    Interfaces and Default Methods

    Define contracts with interfaces, including default, static, and private methods. Implement multiple interfaces in a class.

    Interfaces Default Methods Contracts
  5. 5

    Composition versus Inheritance

    Compare is-a and has-a relationships and learn to favor composition. Refactor a sample design to reduce tight coupling.

    Composition Coupling Refactoring
  6. 6

    SOLID Principles and Design Basics

    Introduce the SOLID principles with simple Java examples. Apply them to improve class design.

    SOLID Design Principles UML
M1.5 Exception Handling and Collections Framework Handle errors gracefully and manage groups of data using the Java Collections Framework.
  1. 1

    Exception Handling Basics

    Use try, catch, finally, and multi catch to handle runtime errors. Understand the exception hierarchy and checked versus unchecked exceptions.

    try catch Exceptions finally
  2. 2

    Custom Exceptions and Try with Resources

    Create custom exception classes and manage resources safely with try with resources. Apply throw and throws correctly.

    Custom Exceptions throws AutoCloseable
  3. 3

    Lists and the ArrayList and LinkedList

    Store ordered data using List implementations and compare their performance. Practice common operations and iteration.

    List ArrayList LinkedList
  4. 4

    Sets and Maps

    Work with HashSet, TreeSet, HashMap, and TreeMap to handle unique and keyed data. Understand how hashing works internally.

    HashMap HashSet Hashing
  5. 5

    Queues, Deques, and Iterators

    Use Queue, Deque, and PriorityQueue for ordered processing and traverse collections with Iterator. Avoid concurrent modification errors.

    Queue PriorityQueue Iterator
  6. 6

    Sorting with Comparable and Comparator

    Sort custom objects using natural and custom ordering. Use the Collections utility class for common operations.

    Comparable Comparator Collections
M1.6 Modern Java Features and Core APIs Write concise and expressive code using generics, lambdas, streams, and essential Java APIs.
  1. 1

    Generics

    Create type safe classes and methods with generics and bounded types. Understand wildcards and type erasure.

    Generics Wildcards Type Safety
  2. 2

    Enums and Records

    Model fixed sets of values with enums and create concise data carriers using records. Learn when to use each.

    Enums Records Data Modeling
  3. 3

    Lambda Expressions and Functional Interfaces

    Write lambdas and use built in functional interfaces such as Predicate, Function, and Consumer. Apply method references.

    Lambda Functional Interfaces Method References
  4. 4

    Stream API

    Process collections declaratively with map, filter, reduce, and collectors. Build data pipelines for realistic datasets.

    Streams Collectors Data Processing
  5. 5

    Optional and Date Time API

    Avoid null errors using Optional and work with LocalDate, LocalDateTime, and Duration. Format and parse dates correctly.

    Optional LocalDate Null Safety
  6. 6

    File Handling and Introduction to Multithreading

    Read and write files using NIO and get introduced to threads and the Runnable interface. Understand basic synchronization concepts.

    File IO Threads Synchronization
02 Section 2 Data Structures, Collections and Databases with SQL Learners master core data structures, the Java Collections Framework, relational database design and SQL, and connect Java applications to databases using JDBC. 6 modules 36 topics
M2.1 Foundations of Data Structures Learners understand how data is organized in memory and how to reason about the efficiency of code.
  1. 1

    Introduction to Data Structures and Algorithms

    Explore why data structures matter and how they shape program performance. Compare linear and non-linear structures with real-world examples.

    Data Structures Problem Solving
  2. 2

    Time and Space Complexity with Big O

    Learn to measure algorithm efficiency using Big O notation. Analyze simple loops and nested loops to estimate cost.

    Big O Complexity Analysis
  3. 3

    Arrays and Multidimensional Arrays

    Work with fixed-size arrays and two-dimensional arrays in Java. Practice traversal, insertion and searching patterns.

    Arrays Traversal Indexing
  4. 4

    Linked Lists from Scratch

    Build singly and doubly linked lists using custom node classes. Implement insert, delete and reverse operations.

    Linked List Pointers OOP
  5. 5

    Stacks and Queues Implementation

    Implement stacks and queues using arrays and linked nodes. Apply them to problems like bracket matching and task scheduling.

    Stack Queue LIFO FIFO
  6. 6

    Trees and Binary Search Trees

    Understand hierarchical data using binary trees and binary search trees. Implement insertion, search and traversal methods.

    Binary Tree BST Recursion
M2.2 Searching Sorting and Recursion Learners apply classic algorithms and recursive thinking to solve common programming problems.
  1. 1

    Recursion Fundamentals

    Learn how recursive calls work using the call stack. Solve problems like factorial and Fibonacci with clear base cases.

    Recursion Call Stack
  2. 2

    Linear and Binary Search

    Implement both search techniques and compare their performance. Understand when sorted data enables faster lookups.

    Searching Binary Search
  3. 3

    Elementary Sorting Algorithms

    Code bubble, selection and insertion sort step by step. Trace each algorithm and discuss its limitations.

    Bubble Sort Insertion Sort Tracing
  4. 4

    Merge Sort and Quick Sort

    Study divide and conquer sorting techniques. Implement both and compare their running times on large inputs.

    Merge Sort Quick Sort Divide and Conquer
  5. 5

    Hashing and Hash Tables

    Understand hash functions and collision handling strategies. Build a simple hash table to see how HashMap works internally.

    Hashing Collisions Hash Table
  6. 6

    Graphs and Traversal Basics

    Represent graphs with adjacency lists and matrices. Implement breadth first and depth first traversal.

    Graphs BFS DFS
M2.3 Java Collections Framework Learners use the built-in Java collection classes effectively in real applications.
  1. 1

    Collections Framework Overview

    Tour the interface hierarchy including Collection, List, Set and Map. Learn how to choose the right collection for a task.

    Collections Interfaces
  2. 2

    List Implementations ArrayList and LinkedList

    Compare ArrayList and LinkedList in usage and performance. Practice common list operations and iteration.

    ArrayList LinkedList Iteration
  3. 3

    Sets with HashSet LinkedHashSet and TreeSet

    Work with collections that enforce uniqueness. Understand ordering differences and the role of equals and hashCode.

    Set equals hashCode TreeSet
  4. 4

    Maps with HashMap and TreeMap

    Store and retrieve key value pairs efficiently. Explore iteration over entries, keys and values.

    HashMap TreeMap Key Value
  5. 5

    Queues Deques and PriorityQueue

    Use queue based collections for ordered processing. Build a simple task scheduler with PriorityQueue.

    Queue Deque PriorityQueue
  6. 6

    Comparable Comparator and Utility Classes

    Define custom sorting using Comparable and Comparator. Apply the Collections and Arrays utility methods.

    Comparator Sorting Utilities
M2.4 Relational Database and SQL Fundamentals Learners design relational databases and write core SQL queries to manage data.
  1. 1

    Introduction to Databases and RDBMS

    Understand database concepts, tables, rows and keys. Install MySQL and explore its client tools.

    RDBMS MySQL Setup
  2. 2

    Creating Databases and Tables with DDL

    Use CREATE, ALTER and DROP to define schemas. Choose suitable data types and apply constraints.

    DDL Constraints Data Types
  3. 3

    Inserting Updating and Deleting Data with DML

    Manipulate records using INSERT, UPDATE and DELETE. Learn safe practices including transactions for changes.

    DML CRUD Data Safety
  4. 4

    Querying Data with SELECT and Filters

    Retrieve data using SELECT, WHERE, ORDER BY and LIMIT. Use operators like LIKE, IN and BETWEEN.

    SELECT Filtering Sorting
  5. 5

    Aggregate Functions and Grouping

    Summarize data with COUNT, SUM, AVG, MIN and MAX. Group results using GROUP BY and HAVING.

    Aggregation GROUP BY HAVING
  6. 6

    Database Design and Normalization

    Model entities and relationships using ER diagrams. Apply normal forms to reduce redundancy.

    ER Diagrams Normalization Schema Design
M2.5 Advanced SQL and Query Optimization Learners write complex queries and improve database performance and reliability.
  1. 1

    Joins Across Multiple Tables

    Combine data with inner, left, right and full joins. Solve practical reporting problems using multi table queries.

    Joins Relationships Reporting
  2. 2

    Subqueries and Common Table Expressions

    Write nested queries and readable CTEs. Decide when each approach improves clarity.

    Subqueries CTE Query Design
  3. 3

    Window Functions and Ranking

    Use ROW_NUMBER, RANK and running totals with OVER clauses. Analyze data without collapsing rows.

    Window Functions Ranking Analytics
  4. 4

    Indexes and Query Performance

    Learn how indexes speed up lookups and when they hurt. Read execution plans with EXPLAIN to tune queries.

    Indexing EXPLAIN Optimization
  5. 5

    Transactions and ACID Properties

    Understand commit, rollback and isolation levels. See how transactions keep data consistent under concurrency.

    Transactions ACID Isolation
  6. 6

    Views Stored Procedures and Triggers

    Create reusable database logic with views, procedures and triggers. Discuss best practices and trade-offs.

    Views Stored Procedures Triggers
M2.6 Connecting Java with Databases using JDBC Learners integrate Java applications with relational databases and build a data driven project.
  1. 1

    JDBC Architecture and Drivers

    Understand the JDBC API, driver types and connection lifecycle. Connect a Java program to MySQL.

    JDBC Drivers Connectivity
  2. 2

    Executing Queries with Statement and ResultSet

    Run SELECT and update queries from Java code. Read and map results using ResultSet.

    Statement ResultSet Java SQL
  3. 3

    PreparedStatement and SQL Injection Prevention

    Use parameterized queries for safety and speed. Learn how SQL injection attacks work and how to block them.

    PreparedStatement SQL Injection Security
  4. 4

    Transactions and Batch Processing in JDBC

    Control commits and rollbacks from Java. Use batch updates to process many records efficiently.

    JDBC Transactions Batch Updates
  5. 5

    DAO Pattern and Connection Pooling

    Separate data access logic using the DAO pattern. Configure connection pooling with HikariCP.

    DAO Pattern HikariCP Architecture
  6. 6

    Mini Project Student Management System

    Build a console application combining collections, SQL and JDBC. Implement full CRUD with a layered design.

    Project CRUD Integration
03 Section 3 Spring Boot Backend and REST APIs Learners build secure, well-tested and production-ready backend services with Spring Boot, from first project setup to deployed REST APIs backed by relational and NoSQL databases. 6 modules 36 topics
M3.1 Spring Boot Foundations Learners understand the Spring ecosystem and create their first configurable Spring Boot application.
  1. 1

    Introduction to Spring and Spring Boot

    Explore why Spring Boot simplifies enterprise Java development and how it differs from the traditional Spring Framework. Review the architecture of a typical backend application.

    Spring Boot Backend Basics Architecture
  2. 2

    Project Setup with Maven and Spring Initializr

    Generate a project, understand the folder structure and manage dependencies using Maven. Run the application from the IDE and the command line.

    Maven Spring Initializr IDE Setup
  3. 3

    Inversion of Control and Dependency Injection

    Learn how the Spring container creates and wires objects. Practice constructor injection and compare it with other injection styles.

    IoC Dependency Injection Spring Container
  4. 4

    Beans, Scopes and Component Scanning

    Define beans using annotations and Java configuration. Understand singleton and prototype scopes and the bean lifecycle.

    Beans Annotations Lifecycle
  5. 5

    Application Properties, Profiles and Configuration

    Externalize configuration with properties and YAML files. Use profiles to switch between development and production settings.

    Configuration Profiles YAML
  6. 6

    Logging, Actuator and Developer Tools

    Add structured logging and monitor application health with Spring Boot Actuator. Use DevTools to speed up the development cycle.

    Logging Actuator DevTools
M3.2 Building RESTful APIs Learners design and implement clean REST endpoints that follow industry conventions.
  1. 1

    REST Principles and HTTP Fundamentals

    Understand resources, HTTP methods, status codes and statelessness. Learn how to design meaningful URIs.

    REST HTTP API Design
  2. 2

    Controllers and Request Mapping

    Build controllers using RestController and mapping annotations. Handle path variables and query parameters.

    RestController Request Mapping Parameters
  3. 3

    Request and Response Bodies with JSON

    Serialize and deserialize JSON using Jackson. Control response formats with ResponseEntity and status codes.

    JSON Jackson ResponseEntity
  4. 4

    DTOs and Object Mapping

    Separate internal entities from API contracts using data transfer objects. Apply mapping with manual code and MapStruct.

    DTO MapStruct Clean Design
  5. 5

    Validation and Global Exception Handling

    Validate input using Bean Validation annotations. Return consistent error responses with ControllerAdvice.

    Validation ControllerAdvice Error Handling
  6. 6

    API Versioning, Pagination and Sorting

    Evolve APIs safely with versioning strategies. Return large result sets efficiently with pagination and sorting.

    Versioning Pagination Sorting
M3.3 Data Persistence with Spring Data JPA Learners connect Spring Boot services to relational databases using JPA and Hibernate.
  1. 1

    JPA and Hibernate Fundamentals

    Learn object relational mapping concepts and how Hibernate translates entities into tables. Configure a database connection in Spring Boot.

    JPA Hibernate ORM
  2. 2

    Entities and Repositories

    Model entities with annotations and use Spring Data repositories for CRUD operations. Build a complete persistence layer for a sample project.

    Entities JpaRepository CRUD
  3. 3

    Entity Relationships and Fetch Strategies

    Map one to one, one to many and many to many relationships. Understand lazy and eager loading and avoid the N plus 1 problem.

    Relationships Lazy Loading Performance
  4. 4

    Derived Queries, JPQL and Native Queries

    Write queries using method naming conventions and the Query annotation. Choose the right approach for complex data needs.

    JPQL Native SQL Query Methods
  5. 5

    Transactions and Data Integrity

    Manage transactions with the Transactional annotation. Understand propagation, isolation and rollback behavior.

    Transactions Isolation Data Integrity
  6. 6

    Database Migrations with Flyway

    Version control database schemas using Flyway migration scripts. Keep environments consistent across teams and deployments.

    Flyway Migrations Schema Versioning
M3.4 Security and Authentication Learners protect APIs using Spring Security, JWT and role based access control.
  1. 1

    Spring Security Architecture

    Understand the filter chain, authentication and authorization flow. Configure default security and customize it for an API.

    Spring Security Filter Chain Authentication
  2. 2

    User Registration and Password Hashing

    Build a registration flow and store passwords securely using BCrypt. Discuss common credential storage mistakes.

    BCrypt Registration Secure Storage
  3. 3

    JWT Based Authentication

    Issue and validate JSON Web Tokens for stateless authentication. Implement a login endpoint and a token filter.

    JWT Stateless Auth Filters
  4. 4

    Role Based Access Control

    Restrict endpoints and methods by user roles and authorities. Apply method level security annotations.

    RBAC Authorization Method Security
  5. 5

    CORS, CSRF and Common Vulnerabilities

    Configure cross origin access for frontend applications. Review CSRF, injection and other threats from the OWASP list.

    CORS CSRF OWASP
  6. 6

    OAuth2 and Social Login

    Understand the OAuth2 flow and integrate login with an external identity provider. Compare it with custom JWT authentication.

    OAuth2 Social Login Identity
M3.5 Testing and Quality Assurance Learners verify backend behavior with automated tests and quality practices.
  1. 1

    Unit Testing with JUnit 5

    Write clear unit tests using JUnit 5 assertions and lifecycle annotations. Apply test driven thinking to service logic.

    JUnit 5 Unit Testing Assertions
  2. 2

    Mocking with Mockito

    Isolate classes under test by mocking dependencies. Verify interactions and stub responses.

    Mockito Mocking Test Isolation
  3. 3

    Testing Controllers with MockMvc

    Test REST endpoints without starting a full server. Assert status codes, headers and JSON content.

    MockMvc WebMvcTest API Testing
  4. 4

    Integration Testing with Testcontainers

    Run tests against real databases in containers. Use SpringBootTest to verify the full application context.

    Testcontainers SpringBootTest Integration Tests
  5. 5

    API Documentation with OpenAPI and Swagger

    Generate interactive documentation for endpoints using springdoc. Share contracts clearly with frontend teams.

    OpenAPI Swagger Documentation
  6. 6

    Code Quality and Test Coverage

    Measure coverage with JaCoCo and enforce standards with static analysis. Practice refactoring guided by tests.

    JaCoCo Static Analysis Refactoring
M3.6 Advanced Backend Concepts and Deployment Learners extend their services with caching, messaging, microservice basics and cloud ready packaging.
  1. 1

    Caching with Spring Cache and Redis

    Improve response times by caching frequent queries. Configure cache eviction and use Redis as a distributed store.

    Caching Redis Performance
  2. 2

    Working with MongoDB in Spring Boot

    Use Spring Data MongoDB to store document based data. Compare when to choose NoSQL over relational storage.

    MongoDB NoSQL Spring Data
  3. 3

    Asynchronous Processing and Scheduling

    Run background tasks with Async and scheduled jobs. Understand thread pools and task execution.

    Async Scheduling Thread Pools
  4. 4

    Messaging with Kafka Basics

    Understand event driven design and publish and consume messages with Apache Kafka. Build a simple producer and consumer service.

    Kafka Event Driven Messaging
  5. 5

    Microservices Fundamentals

    Learn how to split a system into services and handle communication with REST clients. Explore API gateways and service discovery concepts.

    Microservices API Gateway Service Discovery
  6. 6

    Dockerizing and Deploying Spring Boot Applications

    Package the application as a Docker image and run it with Docker Compose. Deploy to a cloud platform and configure environment variables.

    Docker Deployment Cloud
04 Section 4 Frontend Development with React Learners build modern responsive user interfaces with React and connect them to the Spring Boot REST APIs created in earlier sections. 6 modules 36 topics
M4.1 Web Foundations for React Developers Learners refresh the modern HTML, CSS and JavaScript skills that every React project depends on.
  1. 1

    Semantic HTML and Accessible Page Structure

    Learners write meaningful HTML using semantic elements and accessibility attributes. They see how good structure supports screen readers and search engines.

    HTML5 Accessibility Semantics
  2. 2

    CSS Layouts with Flexbox and Grid

    Learners build responsive page layouts using Flexbox and CSS Grid. They practice aligning, spacing and reordering content across screen sizes.

    CSS Flexbox Grid
  3. 3

    Responsive Design and Media Queries

    Learners adapt layouts to mobile, tablet and desktop using media queries and relative units. They follow a mobile first workflow.

    Responsive Design Media Queries Mobile First
  4. 4

    Modern JavaScript ES6 Essentials

    Learners use let, const, arrow functions, destructuring, spread and template literals. These features appear in nearly every React codebase.

    ES6 Destructuring Arrow Functions
  5. 5

    Asynchronous JavaScript with Promises and Async Await

    Learners handle asynchronous work using promises and async await syntax. They fetch data from a public API and handle errors.

    Promises Async Await Fetch API
  6. 6

    DOM Manipulation and Developer Tooling

    Learners manipulate the DOM directly and debug with browser developer tools. They also set up Node, npm and Vite for the coming modules.

    DOM DevTools npm
M4.2 React Fundamentals and Components Learners understand how React thinks and build UIs from reusable components.
  1. 1

    Introduction to React and Project Setup

    Learners create a React project with Vite and tour its structure. They learn why component based UI libraries exist.

    React Vite Project Setup
  2. 2

    JSX Syntax and Rendering Expressions

    Learners write JSX and embed JavaScript expressions in markup. They learn the differences between JSX and HTML.

    JSX Expressions Rendering
  3. 3

    Components and Props

    Learners create function components and pass data through props. They practice composing small components into larger screens.

    Components Props Composition
  4. 4

    Conditional Rendering and Lists with Keys

    Learners render UI conditionally and map arrays to lists of elements. They learn why stable keys matter for performance and correctness.

    Conditional Rendering Lists Keys
  5. 5

    Handling Events and Forms

    Learners respond to clicks and input changes and build controlled forms. They validate input before submission.

    Events Controlled Forms Validation
  6. 6

    Styling React Apps with CSS Modules and Tailwind

    Learners style components using CSS Modules and utility classes from Tailwind CSS. They compare the tradeoffs of each approach.

    CSS Modules Tailwind CSS Styling
M4.3 State Management and Hooks Learners manage dynamic data in components using React hooks and well known patterns.
  1. 1

    The useState Hook and Local State

    Learners store and update component state with useState. They learn immutable update patterns for objects and arrays.

    useState State Immutability
  2. 2

    The useEffect Hook and Side Effects

    Learners run side effects such as data loading and subscriptions with useEffect. They manage dependency arrays and cleanup functions.

    useEffect Side Effects Lifecycle
  3. 3

    Lifting State Up and Component Communication

    Learners share state between sibling components by lifting it to a common parent. They design clean data flow with callbacks.

    Lifting State Data Flow Callbacks
  4. 4

    useRef and useMemo and useCallback

    Learners access DOM nodes with useRef and optimize expensive work with memoization hooks. They learn when optimization is actually needed.

    useRef useMemo useCallback
  5. 5

    Context API for Shared State

    Learners share global values such as theme and user session using Context. They avoid prop drilling in deeper component trees.

    Context API Global State Providers
  6. 6

    Custom Hooks and Reducers

    Learners extract reusable logic into custom hooks and manage complex state with useReducer. They write cleaner and more testable components.

    Custom Hooks useReducer Reusability
M4.4 Routing and Application Architecture Learners structure multi page single page applications with routing and scalable folder organization.
  1. 1

    Client Side Routing with React Router

    Learners configure routes and navigation links with React Router. They understand how single page apps change views without reloads.

    React Router Routes SPA
  2. 2

    Dynamic Routes and URL Parameters

    Learners build detail pages using route parameters and query strings. They read and update URL state from components.

    URL Params Query Strings Navigation
  3. 3

    Nested Layouts and Protected Routes

    Learners create shared layouts with nested routes and guard private pages based on login status. They redirect unauthorized users.

    Nested Routes Route Guards Layouts
  4. 4

    Project Structure and Reusable UI Patterns

    Learners organize features, components and utilities into a maintainable folder structure. They apply container and presentational patterns.

    Architecture Folder Structure Reusability
  5. 5

    Global State with Redux Toolkit

    Learners manage large application state using Redux Toolkit slices and the store. They connect components with hooks.

    Redux Toolkit Store Slices
  6. 6

    Error Boundaries and Code Splitting

    Learners catch rendering errors with error boundaries and load pages lazily with Suspense. They improve resilience and startup speed.

    Error Boundaries Lazy Loading Suspense
M4.5 Connecting React to Spring Boot APIs Learners integrate the React frontend with the REST backend built earlier in the course.
  1. 1

    Calling REST APIs with Fetch and Axios

    Learners send GET, POST, PUT and DELETE requests to the Spring Boot backend. They compare Fetch with Axios and centralize API calls.

    Axios Fetch REST Integration
  2. 2

    Handling CORS and Environment Configuration

    Learners configure CORS on the Spring Boot server and manage API URLs with environment variables. They run frontend and backend together locally.

    CORS Environment Variables Configuration
  3. 3

    Data Fetching with TanStack Query

    Learners cache, refetch and synchronize server data using TanStack Query. They reduce boilerplate for loading and error states.

    TanStack Query Caching Server State
  4. 4

    Loading and Error States and User Feedback

    Learners design skeletons, spinners and toast messages for slow or failed requests. They build interfaces that stay clear under poor network conditions.

    Loading States Error Handling UX
  5. 5

    JWT Authentication in the Frontend

    Learners implement login and logout against the secured backend and store tokens safely. They attach tokens to requests with interceptors.

    JWT Authentication Interceptors
  6. 6

    Building a CRUD Dashboard with Pagination and Search

    Learners create a full dashboard that lists, filters, creates, edits and deletes records through the API. They add pagination and debounced search.

    CRUD Pagination Search
M4.6 Quality, Performance and Deployment Learners test, optimize and ship their React applications to production.
  1. 1

    Component Testing with Jest and React Testing Library

    Learners write unit tests that render components and simulate user behavior. They learn to test what users see rather than implementation details.

    Jest React Testing Library Unit Testing
  2. 2

    Mocking APIs and Integration Tests

    Learners mock network calls with Mock Service Worker and test whole features. They verify loading, success and failure flows.

    Mock Service Worker Integration Testing Mocking
  3. 3

    TypeScript Basics for React

    Learners add types to props, state and API responses using TypeScript. They catch bugs early and improve editor support.

    TypeScript Typed Props Type Safety
  4. 4

    Performance Profiling and Optimization

    Learners profile renders with React DevTools and reduce unnecessary updates. They apply memoization and list virtualization where useful.

    Profiling Optimization Virtualization
  5. 5

    Web Accessibility and SEO Best Practices

    Learners audit apps with Lighthouse and fix accessibility and metadata issues. They improve usability for all users.

    Lighthouse ARIA SEO
  6. 6

    Building and Deploying the React App

    Learners create production builds and deploy to a hosting platform with a CI pipeline. They connect the live frontend to the deployed backend.

    Production Build Deployment CI/CD
05 Section 5 AI Integration with LLMs and Spring AI Learners progress from generative AI fundamentals to building production-ready AI features in Spring Boot applications using prompts, embeddings, retrieval and agents. 6 modules 36 topics
M5.1 Foundations of Generative AI and LLMs Introduces how large language models work and how to choose and access them responsibly.
  1. 1

    Introduction to Generative AI

    Understand what generative AI is and how it differs from traditional machine learning. Explore real-world use cases in full stack products.

    Generative AI AI Concepts
  2. 2

    How Large Language Models Work

    Learn about tokens, context windows, transformers and next-token prediction at a practical level. See how these ideas affect cost and output quality.

    LLM Basics Tokens Transformers
  3. 3

    Model Providers and Selection

    Compare OpenAI, Anthropic, Google and open source models on cost, latency and capability. Learn how to pick a model for a given feature.

    Model Selection Cost Analysis
  4. 4

    Working with LLM APIs using Java HTTP Clients

    Call a hosted LLM REST API directly from Java using HttpClient and JSON parsing. Handle API keys, errors and timeouts safely.

    REST Calls Java HttpClient API Keys
  5. 5

    Model Parameters and Output Control

    Tune temperature, top-p, max tokens and stop sequences to shape responses. Observe how each setting changes output behavior.

    Temperature Max Tokens Tuning
  6. 6

    Responsible AI, Safety and Privacy

    Discuss bias, hallucinations, data privacy and compliance concerns when using LLMs. Apply practical guardrails to protect users and data.

    AI Ethics Data Privacy Guardrails
M5.2 Prompt Engineering Essentials Teaches systematic techniques for writing prompts that produce reliable and useful output.
  1. 1

    Anatomy of an Effective Prompt

    Break prompts into role, context, task, constraints and format. Practice rewriting weak prompts into strong ones.

    Prompt Design Clarity
  2. 2

    Zero Shot and Few Shot Prompting

    Use examples inside prompts to steer model behavior. Compare results with and without examples.

    Few Shot Zero Shot Examples
  3. 3

    Chain of Thought and Reasoning Prompts

    Encourage step by step reasoning for complex tasks. Learn when reasoning prompts help and when they add unnecessary cost.

    Reasoning Chain of Thought
  4. 4

    System Prompts and Role Based Instructions

    Define assistant personas and persistent rules using system messages. Understand message roles in chat style APIs.

    System Prompt Chat Roles
  5. 5

    Structured Outputs and JSON Responses

    Force models to return JSON that matches a schema and validate it in Java. Handle malformed responses gracefully.

    JSON Output Validation Schema
  6. 6

    Prompt Testing and Iteration

    Build a small evaluation set to compare prompt versions. Track improvements with repeatable tests.

    Evaluation Prompt Versioning Testing
M5.3 Spring AI Fundamentals Covers the core abstractions of Spring AI for building provider independent AI features in Spring Boot.
  1. 1

    Spring AI Overview and Project Setup

    Add Spring AI dependencies and configure a provider in a Spring Boot project. Understand the framework architecture and goals.

    Spring AI Maven Configuration
  2. 2

    ChatClient and ChatModel APIs

    Send prompts and receive responses using the fluent ChatClient. Learn how it abstracts differences between providers.

    ChatClient Spring Boot Abstraction
  3. 3

    Prompt Templates and Message Types

    Create reusable parameterized prompts with templates. Use system, user and assistant messages in Spring AI.

    Prompt Templates Messages
  4. 4

    Streaming Responses with Reactive Support

    Stream tokens to clients as they are generated using Flux and server sent events. Improve perceived responsiveness in chat features.

    Streaming SSE Reactive
  5. 5

    Structured Output Converters to Java Objects

    Map model responses directly into Java records and beans. Reduce manual parsing and improve type safety.

    Output Converter Java Records Type Safety
  6. 6

    Chat Memory and Conversation Context

    Maintain multi turn conversations using advisors and memory stores. Manage context length and conversation identifiers.

    Chat Memory Advisors Context
M5.4 Embeddings, Vector Databases and RAG Shows how to ground model answers in private data using embeddings and retrieval augmented generation.
  1. 1

    Understanding Embeddings and Semantic Search

    Learn how text becomes vectors and how similarity search finds related content. Compare keyword search with semantic search.

    Embeddings Semantic Search
  2. 2

    Vector Databases and Spring AI Vector Store

    Store and query vectors using pgvector or a similar store through the VectorStore interface. Understand indexing and similarity metrics.

    Vector Store pgvector Similarity
  3. 3

    Document Loading and Chunking Strategies

    Ingest PDFs and text files using document readers and split them into effective chunks. Explore how chunk size affects retrieval quality.

    ETL Pipeline Chunking Documents
  4. 4

    Building a Retrieval Augmented Generation Pipeline

    Combine retrieval and generation so the model answers using relevant passages. Implement the pipeline with Spring AI advisors.

    RAG Retrieval Advisors
  5. 5

    Improving RAG Quality

    Apply metadata filtering, query rewriting and reranking to improve answers. Reduce hallucinations with source citations.

    Reranking Metadata Filters Citations
  6. 6

    Evaluating and Monitoring RAG Systems

    Measure relevance and faithfulness of answers using test questions. Track latency and token usage in production.

    Evaluation Monitoring Observability
M5.5 Function Calling, Agents and Advanced AI Features Extends LLM applications with tools, agent workflows and multimodal capabilities.
  1. 1

    Function Calling and Tool Use Concepts

    Understand how models request tool execution and how results return to the conversation. Review common tool use patterns.

    Function Calling Tools
  2. 2

    Implementing Tools in Spring AI

    Expose Java methods as tools that the model can call, such as database lookups or service calls. Validate arguments and handle failures.

    Tool Calling Spring Beans Validation
  3. 3

    Model Context Protocol Basics

    Learn how the Model Context Protocol standardizes connections between models and external tools. Connect a Spring application to an MCP server.

    MCP Integration
  4. 4

    Building AI Agents and Multi Step Workflows

    Design agents that plan, call tools and iterate toward a goal. Compare simple chains with routing and orchestration patterns.

    AI Agents Orchestration Workflows
  5. 5

    Multimodal AI with Images and Audio

    Send images to vision models and generate or transcribe audio using Spring AI. Build features such as image description and speech to text.

    Multimodal Vision Speech
  6. 6

    Running Local Models with Ollama

    Run open source models locally and connect them to Spring AI. Weigh privacy and cost benefits against performance tradeoffs.

    Ollama Local LLMs Open Source
M5.6 Productionizing AI Powered Full Stack Applications Integrates AI services with the React frontend and prepares them for secure and reliable production use.
  1. 1

    Designing AI Endpoints in Spring Boot

    Create REST and streaming endpoints that wrap AI logic cleanly. Apply layered design and DTOs for AI features.

    REST API DTOs Architecture
  2. 2

    Building a Chat Interface in React

    Create a chat UI that consumes streaming responses from the backend. Manage message state, loading and error handling.

    React Streaming UI State
  3. 3

    Securing AI APIs and Preventing Prompt Injection

    Protect endpoints with authentication and rate limiting. Defend against prompt injection and data leakage.

    Security Prompt Injection Rate Limiting
  4. 4

    Cost Control, Caching and Resilience

    Reduce spend with caching, token limits and model routing. Add retries and fallbacks for provider failures.

    Caching Resilience Cost Control
  5. 5

    Observability and Testing of AI Features

    Log prompts and responses safely and track metrics with Micrometer. Write tests using mocked models and evaluation datasets.

    Observability Micrometer Testing
  6. 6

    Capstone Build of an AI Powered Assistant

    Combine RAG, tools and a React frontend into a complete document aware assistant. Present the design decisions and results to peers.

    Capstone Full Stack Integration
06 Section 6 DevOps Deployment and Career Preparation Learners package, test, containerize, automate and deploy their Java AI full stack applications to the cloud and then prepare for interviews and job placement with a polished portfolio. 6 modules 36 topics
M6.1 Version Control and Collaborative Workflows Learners master Git and GitHub practices used by professional engineering teams to manage code and collaborate.
  1. 1

    Git Fundamentals and Local Repositories

    Understand commits, staging, history and the Git object model. Initialize repositories and track changes in a Java project.

    Git Version Control Commits
  2. 2

    Branching and Merging Strategies

    Create feature branches and merge them using fast-forward and three-way merges. Compare Git Flow and trunk-based development.

    Branching Merging Git Flow
  3. 3

    Resolving Conflicts and Rewriting History

    Resolve merge conflicts confidently and use rebase, stash and cherry-pick. Learn when rewriting history is safe.

    Rebase Conflict Resolution Stash
  4. 4

    GitHub Collaboration and Pull Requests

    Work with remotes, forks and pull requests. Practice structured code reviews and issue tracking.

    GitHub Pull Requests Code Review
  5. 5

    Semantic Versioning and Release Management

    Tag releases, write changelogs and apply semantic versioning to a Spring Boot application.

    Semantic Versioning Tags Releases
  6. 6

    Build Tools with Maven and Gradle

    Manage dependencies, profiles and build lifecycles to produce runnable JAR files for deployment.

    Maven Gradle Build Lifecycle
M6.2 Testing and Code Quality Assurance Learners build automated test suites and quality gates that keep full stack applications reliable.
  1. 1

    Unit Testing with JUnit 5

    Write isolated unit tests for service and utility classes. Use assertions, parameterized tests and lifecycle annotations.

    JUnit 5 Unit Testing Assertions
  2. 2

    Mocking with Mockito

    Replace dependencies with mocks and spies to test business logic in isolation. Verify interactions and stub responses.

    Mockito Mocking Test Doubles
  3. 3

    Integration Testing Spring Boot APIs

    Test controllers and repositories using MockMvc and SpringBootTest. Validate request handling and database behavior.

    MockMvc SpringBootTest API Testing
  4. 4

    Testing with Testcontainers

    Run real databases in disposable containers during tests for reliable and repeatable integration checks.

    Testcontainers Integration Tests Databases
  5. 5

    Frontend Testing with Jest and React Testing Library

    Test React components and user interactions. Mock API calls and assert rendered output.

    Jest React Testing Library Component Tests
  6. 6

    Code Quality with SonarQube and Coverage Reports

    Measure coverage with JaCoCo and analyze code smells and vulnerabilities. Define quality gates for the pipeline.

    SonarQube JaCoCo Code Quality
M6.3 Containerization with Docker Learners package the full stack application and its dependencies into portable containers.
  1. 1

    Container Concepts and Docker Setup

    Understand images, containers and registries and how they differ from virtual machines. Install Docker and run first containers.

    Docker Containers Images
  2. 2

    Writing Dockerfiles for Spring Boot

    Build optimized images for the backend using layered JARs and slim base images.

    Dockerfile Image Optimization Spring Boot
  3. 3

    Containerizing the React Frontend with Nginx

    Use multi-stage builds to compile the React app and serve it through Nginx.

    Multi-stage Builds Nginx React
  4. 4

    Docker Compose for Multi-Service Applications

    Orchestrate frontend, backend and database services locally with networks, volumes and environment files.

    Docker Compose Networking Volumes
  5. 5

    Managing Secrets and Configuration

    Handle environment variables, API keys and LLM credentials securely across environments.

    Secrets Environment Config Security
  6. 6

    Publishing Images to Docker Hub and Registries

    Tag, push and pull images from public and private registries. Apply image scanning basics.

    Docker Hub Registries Image Scanning
M6.4 CI/CD Pipelines and Automation Learners automate building, testing and releasing applications with continuous integration and delivery.
  1. 1

    CI/CD Principles and Pipeline Design

    Learn the stages of a modern delivery pipeline and the benefits of automation. Design a pipeline for the capstone project.

    CI/CD Pipeline Design Automation
  2. 2

    GitHub Actions Workflows

    Write workflow files that trigger on pushes and pull requests to build and test the application.

    GitHub Actions YAML Workflows
  3. 3

    Automated Build and Test Stages

    Run Maven builds, backend tests and frontend tests in the pipeline with caching and test reports.

    Automated Testing Caching Build Stage
  4. 4

    Building and Pushing Docker Images in the Pipeline

    Authenticate to registries and publish versioned images automatically after successful builds.

    Image Publishing Pipeline Secrets Versioning
  5. 5

    Continuous Deployment Strategies

    Compare rolling, blue-green and canary deployments. Implement rollback plans for failed releases.

    Blue-Green Canary Rollback
  6. 6

    Introduction to Jenkins and Pipeline as Code

    Explore Jenkins and write a declarative Jenkinsfile to understand alternative CI servers.

    Jenkins Jenkinsfile Pipeline as Code
M6.5 Cloud Deployment and Production Operations Learners deploy the application to the cloud and operate it with monitoring, security and scalability in mind.
  1. 1

    Cloud Fundamentals with AWS

    Understand regions, IAM, compute, storage and networking services. Set up a secure account with budget alerts.

    AWS IAM Cloud Basics
  2. 2

    Deploying the Backend on EC2 and Elastic Beanstalk

    Launch the Spring Boot service on virtual machines and managed platforms. Configure security groups and environment variables.

    EC2 Elastic Beanstalk Deployment
  3. 3

    Managed Databases with Amazon RDS

    Provision a managed relational database and connect the application securely. Configure backups and access rules.

    Amazon RDS Database Hosting Backups
  4. 4

    Hosting the Frontend with S3 and CloudFront

    Publish the React build to object storage and distribute it through a CDN with HTTPS and custom domains.

    S3 CloudFront HTTPS
  5. 5

    Kubernetes Essentials for Java Applications

    Learn pods, deployments and services. Deploy a containerized Spring Boot app to a Kubernetes cluster.

    Kubernetes Pods Deployments
  6. 6

    Monitoring Logging and Observability

    Expose Actuator metrics and collect logs. Visualize health with Prometheus and Grafana and set alerts.

    Actuator Prometheus Grafana
M6.6 Career Preparation and Capstone Presentation Learners convert their skills into a strong portfolio and the confidence to succeed in Java and AI engineering interviews.
  1. 1

    Capstone Project Finalization and Demo Deployment

    Polish the capstone AI full stack application, write documentation and deploy a live demo with a public URL.

    Capstone Documentation Live Demo
  2. 2

    Building a Professional GitHub Portfolio and README

    Structure repositories, write clear READMEs with architecture diagrams and showcase projects to recruiters.

    Portfolio README Personal Branding
  3. 3

    Resume and LinkedIn Optimization for Java Roles

    Craft an ATS-friendly resume and LinkedIn profile that highlight projects, impact and technical keywords.

    Resume LinkedIn ATS
  4. 4

    Data Structures and Algorithms Interview Practice

    Solve common coding interview problems in Java and explain time and space complexity clearly.

    Coding Interviews Algorithms Complexity
  5. 5

    System Design and Technical Interview Preparation

    Answer Java, Spring Boot and system design questions. Design scalable architectures including AI-powered features.

    System Design Spring Interview Architecture
  6. 6

    Mock Interviews and Job Search Strategy

    Complete mock technical and behavioral interviews with feedback. Plan applications, networking and offer negotiation.

    Mock Interviews Job Search Negotiation

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Tools and Techniques

Key Tools and Techniques

Master industry-standard methodologies used by top-tier professionals, gaining practical exposure to tools, frameworks, and strategies for results.

01

Java JDK 21

Industry Standard

The core language and runtime used to write robust, object oriented backend applications.

02

Spring Boot

Most Demanded

The leading Java framework for building production-ready REST APIs and microservices quickly.

03

Spring Data JPA and Hibernate

Core Backend

ORM tools that map Java objects to database tables and simplify data access.

04

MySQL

Widely Used

A widely used relational database for storing and querying application data with SQL.

05

React

Frontend Leader

A component based JavaScript library for building fast and interactive user interfaces.

06

Spring Security and JWT

Security

Techniques for authentication and authorization to protect APIs and user data.

07

Spring AI and LLM APIs

AI Ready

Libraries and APIs for connecting Java applications to large language models for chat and generation.

08

Git and GitHub

Essential

Version control and collaboration tools used in every professional development team.

09

Docker

DevOps Skill

Container technology used to package and deploy applications consistently across environments.

Many More Tools Integrated in Curriculum
Course Projects

Projects You Will Work On

Build a strong portfolio by working on industry-relevant projects that simulate real job scenarios, helping you gain confidence and career-ready skills.

Console Banking System

Industry-Led Project

Build a Java console app for accounts, deposits, withdrawals and transaction history using OOP principles. Apply exception handling and collections to keep the logic clean and reliable.

Duration: 6-10 hours

Student Management REST API

Industry-Led Project

Create a Spring Boot REST API with full CRUD operations backed by MySQL and JPA. Add validation and global exception handling and test endpoints with Postman.

Duration: 8-12 hours

Secure Login and Role Based Access

Industry-Led Project

Implement registration and login using Spring Security and JWT tokens. Restrict endpoints by user role such as admin and user.

Duration: 8-12 hours

Task Manager Web App

Industry-Led Project

Develop a React frontend that consumes your Spring Boot API for creating and tracking tasks. Use hooks, routing and form handling for a smooth user experience.

Duration: 10-14 hours

E-Commerce Store

Industry-Led Project

Build a full stack shopping app with product listings, cart, orders and admin management. Integrate a payment sandbox and manage state across the React application.

Duration: 14-20 hours

AI Chatbot Assistant

Industry-Led Project

Create a chatbot that calls an LLM API through a Spring Boot service and shows responses in a React chat interface. Design prompts and manage conversation history.

Duration: 8-12 hours

Document Q&A with RAG

Industry-Led Project

Build a system that lets users upload documents and ask questions answered from their content. Use embeddings and a vector store to retrieve relevant context for the LLM.

Duration: 10-16 hours

AI Resume Analyzer

Industry-Led Project

Develop an app that scores resumes against a job description and suggests improvements using an LLM. Store results in a database and display them on a dashboard.

Duration: 8-12 hours

Dockerized Capstone Deployment

Industry-Led Project

Containerize your full stack AI application with Docker and deploy it to a cloud platform. Set up a CI pipeline with GitHub Actions to automate builds and tests.

Duration: 8-12 hours
Course Enrollment

Java AI Full Stack Development

Learn Java, Spring Boot, React and AI integration in live mentor-led sessions. Build 9 hands-on projects and become job-ready as a full stack developer who can ship AI-powered applications.

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Duration6 Months
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Frequently Asked Questions

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No. The course starts from Java fundamentals and gradually moves to advanced full stack and AI topics, so complete beginners can follow along.
The program runs for 6 Months with live mentor-led sessions, practice assignments and project work throughout.
The current fee is ₹7,999 against the actual fee of ₹30,000, which gives you a discount of 73%.
The next batch is the next batch and begins on soon. Sessions are held at to be announced.
Classes are taught live by mentors so you can ask questions and get feedback in real time. Session recordings are shared for revision.
Yes. You build nine hands-on projects, including REST APIs, a React frontend, an e-commerce store, AI chatbots and a deployed capstone.
No. You learn to integrate existing AI models through APIs and Spring AI, so no prior machine learning knowledge is needed.
The Technical track includes portfolio building, mock interviews, resume guidance and coding practice to prepare you for developer roles. Placement outcomes depend on your effort and performance.

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