🐍 Python Syllabus

🔰 1. Introduction to Python

• History of Python

• Features of Python

• Installing Python

• Python IDEs (IDLE, VS Code, PyCharm)

• Running Python programs (Script mode vs Interactive mode)

🧾 2. Python Basics

• Syntax and Indentation

• Variables and Data Types

• Type Conversion and Casting

• Input/Output Functions

• Comments and Docstrings

🧮 3. Operators and Expressions

• Arithmetic, Relational, Logical operators

• Assignment, Bitwise, Membership, Identity operators

• Operator Precedence

🔁 4. Control Flow

• Conditional Statements (if, if-else, elif)

• Looping (for, while)

• Loop control: break, continue, pass

🧰 5. Data Structures

a. Lists

• Creating, indexing, slicing

• List methods

• List comprehensions

b. Tuples

• Creating and accessing

• Tuple methods

c. Sets

• Set operations

• Set methods

d. Dictionaries

• Key-value pairs

• Dictionary methods

🔣 6. Strings

• String creation and formatting

• String methods

• Slicing and indexing

• Escape characters

🧱 7. Functions

• Defining functions

• Arguments (default, keyword, variable-length)

• Return values

• Lambda functions

• Recursion

🧰 8. Modules and Packages

• Importing modules

• Built-in modules (math, random, datetime, etc.)

• Creating user-defined modules

• pip and package installation

🧪 9. Exception Handling

• try, except, finally

• else block

• raise keyword

• Custom exceptions

🧬 10. Object-Oriented Programming (OOP)

• Classes and Objects

• __init__() method

• self keyword

• Inheritance

• Polymorphism

• Encapsulation and Abstraction

📂 11. File Handling

• Reading/writing files

• Modes: r, w, a, rb, wb

• Working with text and binary files

• with statement

🧵 12. Advanced Topics (Optional)

• List/Dict/Set comprehensions

• Generators and Iterators

• Decorators

• Regular Expressions

• Date and Time

• args and kwargs

🧪 13. Introduction to Libraries and Frameworks

• NumPy and Pandas (basic)

• Matplotlib (basic visualization)

• Flask or Django (optional for web)

• Tkinter (for GUI)

🗃️ 14. Database Connectivity

• Connecting with SQLite or MySQL

• CRUD operations using Python

• sqlite3 and mysql.connector modules

🧪 15. Project Work

• Mini Projects (Calculator, To-Do App, etc.)

• Final Project (e.g., Inventory Management System, Web App, etc.)

Solutions Offered!

Not just correct answers get a detailed explanation of all the questions. You can re-attempt the tests and work upon your weak areas. In addition, our interactive forum will provide you the platform to discuss all the typical questions.

🌐 MERN Stack Developer Syllabus

🔰 1. Web Development Fundamentals

• What is Full Stack Development?

• Client-side vs Server-side

• Basics of HTTP/HTTPS, APIs, REST

• Introduction to Git & GitHub (Version Control)

• HTML5, CSS3, JavaScript ES6+

⚛️ 2. Frontend with React.js

📦 React Basics

• Introduction to React

• JSX Syntax

• Components (Class & Functional)

• Props and State

• Event Handling

• Conditional Rendering

• Lists and Keys

🔄 React Advanced

• Hooks: useState, useEffect, useRef, useContext, useReducer

• Forms and Validation

• React Router (Routing and Navigation)

• Lifting State Up and State Management

• Custom Hooks

🧰 UI & Styling

• CSS Modules, Styled Components

• Tailwind CSS / Bootstrap

• Responsive Design with Media Queries

🖥️ 3. Backend with Node.js & Express.js

• Introduction to Node.js and npm

• Setting up Express.js server

• Middleware & Routing

• RESTful APIs

• Handling JSON and URL-encoded data

• Error handling and status codes

• Environment variables with dotenv

• File uploads and Multer

🗃️ 4. Database with MongoDB

• Introduction to NoSQL & MongoDB

• MongoDB vs SQL Databases

• MongoDB Atlas (Cloud DB)

• CRUD operations

• Mongoose ODM (Schemas, Models, Validation)

• Population and Relationships

🔐 5. Authentication & Authorization

• JWT (JSON Web Tokens)

• Password hashing with bcrypt

• Login/Logout flow

• Role-based access control

• OAuth (optional)

🔄 6. Connecting Frontend & Backend

• API calls using fetch or Axios

• CORS and Middleware

• Protected Routes in React

• State Management (React Context, Redux – optional)

🧪 7. Testing & Debugging

• Debugging with browser DevTools

• Postman or Thunder Client (API testing)

• Logging (morgan)

• Unit Testing (Jest, React Testing Library – optional)

⚙️ 8. Deployment & DevOps

• Production build of React app

• Deployment on:

  • Frontend: Vercel / Netlify

  • Backend: Render / Railway / Heroku

  • Database: MongoDB Atlas

• GitHub & CI/CD basics

📁 9. Project Work

• Mini Projects:

  • To-Do App (React)

  • CRUD API (Express + MongoDB)

  • Authentication system

• Major Projects:

  • Full MERN Stack App (e.g., E-commerce, Blog, Social Media clone, Admin Dashboard)

  • Features: Auth, Payment Gateway, Admin Panel, Real-time Chat (Socket.io)

📚 10. Optional Advanced Topics

• Redux Toolkit / Zustand

• TypeScript with React

• WebSockets with Socket.io

• Performance Optimization

• Server-Side Rendering (SSR) with Next.js

Java SE

🔰 1. Introduction to Java

• History and features of Java

• JVM, JDK, JRE

• Java Program Structure

• Compilation and Execution Process

🧱 2. Data Types and Operators

• Primitive data types

• Type conversion and casting

• Arithmetic, Relational, Logical, Bitwise, Assignment operators

• Operator precedence

🔁 3. Control Flow Statements

• Decision-making (if, if-else, switch)

• Looping (for, while, do-while)

• Jump statements (break, continue, return)

📦 4. Classes and Objects

• Defining classes and objects

• Constructors and types

• this keyword

• Method overloading

🧬 5. Inheritance

• extends keyword

• super keyword

• Method overriding

• final keyword

• Access modifiers

💠 6. Polymorphism

• Compile-time and Run-time Polymorphism

• Dynamic method dispatch

• Interfaces and Multiple Inheritance

🔐 7. Encapsulation and Abstraction

• Getters and Setters

• Abstract classes

• Interface vs Abstract class

📚 8. Packages and Access Modifiers

• Built-in packages (java.lang, java.util, etc.)

• User-defined packages

• public, private, protected, default access

📎 9. Exception Handling

• try, catch, finally

• throw and throws

• Built-in and custom exceptions

📄 10. String Handling

• String, StringBuffer, StringBuilder

• String methods

• Immutable strings

🧰 11. Arrays and Collections

• One-dimensional and multi-dimensional arrays

• ArrayList, LinkedList, HashMap, HashSet, etc.

• Iterators and enhanced for-loop

• 32 D Array

• Vector

• Hashing

📂 12. File I/O

• File handling using java.io and java.nio

• Reading/writing from/to files

• BufferedReader, FileReader, FileWriter

🧵 13. Multithreading

• Thread class and Runnable interface

• Thread lifecycle

• Synchronization

• Inter-thread communication

🌐 14. Swing and AWT (Basic Overview)

• Life cycle of an Swing

• Basics of AWT components

• Event handling

• Live Project

⚙️ 16. Advance Concept

• Record

• Modules

• Sealed Classes and Non-Sealed Classes

• Lambok

16. JDBC (Java Database Connectivity)

• Introduction to JDBC

• Connecting to databases

• CRUD operations

• Using PreparedStatement and ResultSet

🪵17. Dynamic Programming

• LCS

• LIS

• 0/1 knapsack

• Matrix Chain

• Memorization

• Tabulation

✅ Optional Advanced Topics (if part of extended SE course)

• Lambda Expressions (Java 23+)

• Functional Interfaces

• Streams API

• Annotations

• Java Date and Time API (java.time)

🤖 Machine Learning Syllabus

📘 1. Introduction to Machine Learning

• What is ML? Types of ML (Supervised, Unsupervised, Reinforcement)

• ML vs AI vs Deep Learning

• Applications of ML in real life

• Overview of ML project lifecycle

🔧 2. Python for Machine Learning

• Python basics and libraries

• NumPy, Pandas for data handling

• Matplotlib, Seaborn for data visualization

• Scikit-learn overview

📊 3. Data Preprocessing

• Data cleaning (handling missing values, outliers)

• Feature scaling: Standardization, Normalization

• Encoding categorical variables

• Train/Test split

• Handling imbalanced datasets (SMOTE, class weighting)

📈 4. Supervised Learning

🔤 Regression

• Linear Regression

• Polynomial Regression

• Evaluation Metrics: MSE, RMSE, R²

🧠 Classification

• Logistic Regression

• K-Nearest Neighbors (KNN)

• Support Vector Machine (SVM)

• Decision Trees and Random Forest

• Naive Bayes

• Evaluation Metrics: Accuracy, Precision, Recall, F1-score, ROC-AUC

🧩 5. Unsupervised Learning

• Clustering: K-Means, Hierarchical, DBSCAN

• Dimensionality Reduction: PCA, t-SNE

• Anomaly detection

🏋️‍♂️ 6. Model Evaluation and Selection

• Cross-validation (K-fold)

• Bias-Variance Trade-off

• Grid Search and Randomized Search (Hyperparameter Tuning)

• Overfitting and Underfitting

🔁 7. Ensemble Learning

• Bagging and Boosting

• Random Forest

• AdaBoost, Gradient Boosting, XGBoost, LightGBM

🧠 8. Neural Networks (Basic Introduction)

• Perceptron and Multilayer Perceptron (MLP)

• Activation functions

• Backpropagation

• Introduction to Deep Learning

• TensorFlow/Keras basics (optional)

🗂️ 9. Real-World Projects

• End-to-End ML projects:

  • House Price Prediction

  • Spam Email Classifier

  • Customer Segmentation

  • Credit Card Fraud Detection

• Data collection, cleaning, model building, and deployment (optional)

🚀 10. Model Deployment (Optional but Useful)

• Saving/loading models with pickle or joblib

• Streamlit or Flask for model deployment

• Deploying to cloud (Render, Hugging Face, or Heroku)

📚 11. Optional Advanced Topics

• Time Series Forecasting

• Natural Language Processing (NLP) basics

• Reinforcement Learning overview

• AutoML tools

☕ Full Stack Java Developer Syllabus

🧱 1. Frontend Development

🌐 HTML5

• HTML structure, semantic tags

• Forms, tables, multimedia

• SEO basics

🎨 CSS3

• Selectors, Box Model

• Flexbox, Grid

• Responsive Design (Media Queries)

• CSS Frameworks: Bootstrap / Tailwind CSS

🧠 JavaScript (ES6+)

• Syntax, variables, data types

• Functions, objects, arrays

• DOM manipulation

• Event handling

• JSON, Fetch API

• ES6+ features (arrow functions, destructuring, etc.)

⚛️ Optional: JavaScript Framework (React.js or Angular Basics)

• Components, props/state

• Routing

• Form handling

☕ 2. Core Java (Java SE)

• OOP Concepts (Inheritance, Encapsulation, Polymorphism, Abstraction)

• Classes, Objects, Constructors

• Data Types, Arrays, Strings

• Control Flow, Loops, Operators

• Exception Handling

• Collections Framework (List, Set, Map)

• Generics

• File I/O

• Multithreading (basic)

• Java 8+ Features: Lambda, Streams, Functional Interfaces

🏛️ 3. Database (SQL & JDBC)

• RDBMS Concepts (MySQL / PostgreSQL)

• SQL Queries: DDL, DML, DCL

• Joins, Subqueries, Indexes

• Stored Procedures (basics)

• JDBC API

  • Connection, Statement, ResultSet

  • PreparedStatement

  • Transactions

🧪 4. Web Technologies (Java EE / Jakarta EE)

🧾 Servlet API

• Request, Response

• RequestDispatcher

• Session Management (Cookies, HttpSession)

🧰 JSP (JavaServer Pages)

• Scriptlets, Declarations, Expressions

• Directives and JSTL

• MVC using Servlet + JSP

🧠 5. Spring Framework (Spring 5 / Spring Boot)

🧱 Spring Core

• IOC and Dependency Injection

• Bean Lifecycle

• Annotations vs XML config

🔌 Spring MVC

• RESTful APIs with Spring MVC

• Form handling, validation

• Exception handling

⚙️ Spring Boot

• Auto-configuration

• Spring Initializr

• Creating REST APIs

• Application.properties/yml

🔐 Spring Security (Basic)

• Authentication & Authorization

• Role-based access

💾 Spring Data JPA + Hibernate

• ORM concepts

• Repositories (CrudRepository, JpaRepository)

• JPQL

• Relationships (OneToMany, ManyToOne)

🌐 6. RESTful Web Services

• Introduction to REST

• HTTP Methods

• JSON data exchange

• Consuming APIs using Postman/Axios

• Swagger/OpenAPI (API Documentation)

🎁 7. Tools & Build Systems

• IDEs: IntelliJ / Eclipse

• Version Control: Git & GitHub

• Build Tool: Maven or Gradle

• Logging with Log4j / SLF4J

🚀 8. Deployment & DevOps Basics

• WAR/JAR packaging

• Application Deployment (Apache Tomcat)

• Hosting Full Stack App (Spring Boot + Frontend)

• CI/CD basics (Jenkins or GitHub Actions)

• Docker (optional)

🧪 9. Testing

• Unit Testing: JUnit 5, Mockito

• Integration Testing (Spring Boot Test)

• Test coverage tools

📁 10. Capstone Projects

• End-to-End Full Stack Projects:

  • E-Commerce Platform

  • Online Banking System

  • Task Manager or Booking System

• Includes:

  • UI design

  • Backend REST API

  • Database integration

  • Authentication + Authorization

  • Deployment

🐍 Full Stack Python Developer Syllabus

🧱 1. Frontend Development

🌐 HTML5

• Structure and Semantics

• Forms and Input types

• Tables, Media, and Accessibility

🎨 CSS3

• Box Model, Selectors

• Flexbox and Grid

• Responsive Design

• CSS Frameworks: Bootstrap or Tailwind CSS

🧠 JavaScript (ES6+)

• Variables, Data Types, Operators

• Functions, Objects, Arrays

• DOM Manipulation

• Event Handling

• Fetch API, Promises, and Async/Await

• ES6+ features (Arrow functions, Destructuring, etc.)

⚛️ Optional: React.js (or Vue.js)

• Components, Props, State

• React Hooks (useState, useEffect)

• Routing with react-router-dom

• Forms and Controlled Components

🐍 2. Core Python Programming

• Syntax, Variables, Data Types

• Conditional Statements and Loops

• Functions and Lambda Expressions

• Strings, Lists, Tuples, Sets, Dictionaries

• Modules and Packages

• Exception Handling

• File Handling (Text and Binary)

• OOP Concepts: Class, Object, Inheritance, Polymorphism

🧱 3. Database (SQL + ORM)

🗃️ SQL (MySQL / PostgreSQL)

• RDBMS Concepts

• DDL, DML Commands

• Joins, Subqueries, Indexes

• Views, Functions, Triggers

🔁 ORM with SQLAlchemy / Django ORM

• Models and Relationships

• Migrations

• Querying and Filtering

• Transactions

🔧 4. Backend with Python Web Frameworks

Choose one of the two major frameworks:

🚀 Option A: Flask

• Routing and Views

• Jinja2 Templates

• URL Building and Redirects

• REST API Development

• Form Handling and Validation (WTForms)

• Flask Blueprints

• Connecting to Database (Flask-SQLAlchemy)

• Authentication with Flask-Login

🧰 Option B: Django

• MTV Architecture

• Project and App Structure

• Models, Admin, Forms

• Django Template Engine

• Django REST Framework (DRF)

• Authentication and Authorization

• Middleware, Static & Media Files

• Signals and Custom Decorators

🌐 5. RESTful APIs

• REST API Principles

• CRUD Operations

• JSON and Serialization

• Using Postman or Thunder Client for testing

• API Pagination, Filtering, Sorting

🔐 6. Authentication & Authorization

• User Registration/Login

• Sessions and Cookies

• Token-Based Authentication (JWT)

• Role-based Access Control

🔨 7. Dev Tools & Best Practices

• Version Control with Git & GitHub

• Virtual Environments (venv/pipenv)

• Dependency Management (requirements.txt, pip)

• Code Linting and Formatting

🚀 8. Deployment & Hosting

• Building and Serving Full Stack Applications

• Deploying with:

  • Heroku / Render / Railway (Backend)

  • Netlify / Vercel (Frontend)

• Environment Variables and Security

• Using Docker (Optional Advanced)

🧪 9. Testing

• Unit Testing with unittest / pytest

• Mocking and Assertions

• Testing REST APIs

📁 10. Final Projects

Develop a real-world full stack app:

• Admin Dashboard

• E-commerce Website

• Task Manager / To-do App

• Blog Platform with Auth

Each project includes:

• Frontend + Backend integration

• API consumption

• User login

• CRUD features

• Deployment