1. Web Design (Front-End Development)

• Introduction to the Internet, Websites, and Hosting
• HTML5 – Structure, Elements, and Semantic Markup
• CSS3 – Styling, Layouts, Animations, and Media Queries
• JavaScript – DOM Manipulation, Events, and Interactivity
• Responsive Design with Bootstrap / Tailwind CSS
• UI/UX Design Fundamentals and Best Practices
• Hands-on Project: Personal Portfolio or Landing Page

2. Web Development (Back-End & Full Stack Basics)

• Introduction to Client-Server Architecture
• Overview of Full Stack Development Concepts
• Front-End and Back-End Integration
• Basics of Node.js and Express.js Framework
• Introduction to APIs and JSON
• Dynamic Websites and Database Connectivity
• Hands-on Project: Basic Full Stack Application

3. Core Programming Concepts

• Understanding Programming Logic and Algorithms
• Flowcharts, Pseudocode, and Problem-Solving Techniques
• Data Types, Variables, Operators, and Control Structures
• Functions, Arrays, and Strings
• Modular Programming and File Handling
• Introduction to Object-Oriented Programming (OOPs) Concepts
• Practical Exercises in C / C++ Fundamentals

4. Core Java

• Introduction to Java and JVM Architecture
• Data Types, Operators, and Control Statements
• Classes, Objects, and Methods
• Constructors and Inheritance
• Polymorphism, Abstraction, and Encapsulation
• Exception Handling and File I/O
• Packages, Interfaces, and Access Modifiers
• Hands-on Project: Console-based Java Application

5. Advanced Java

• Overview of Java Database Connectivity (JDBC)
• Servlets and JSP (Java Server Pages)
• MVC (Model-View-Controller) Architecture
• Session Tracking and State Management
• JavaBeans and Custom Tag Libraries
• Web Application Deployment using Apache Tomcat
• Hands-on Project: Web-Based Java Application (e.g., Student Management System)

6. Python Programming

• Introduction to Python and Its Environment
• Variables, Data Structures, and Control Flow
• Functions, Modules, and Packages
• Object-Oriented Programming in Python
• File Handling and Exception Management
• Working with Libraries (NumPy, Pandas, Matplotlib)
• Basics of Data Visualization and Automation
• Hands-on Project: Data Analysis or Automation Script

7. R Programming

• Introduction to R and RStudio Environment
• Data Types, Vectors, Lists, and Data Frames
• Importing, Cleaning, and Manipulating Data
• Statistical Computing and Data Analysis
• Data Visualization using ggplot2
• Basics of Machine Learning in R (Regression, Clustering)
• Hands-on Project: Data Insights Report in R

8. SQL (Structured Query Language)

• Introduction to Databases and Data Models
• Understanding RDBMS Concepts
• SQL Syntax: SELECT, INSERT, UPDATE, DELETE
• Joins, Subqueries, and Constraints
• Views, Stored Procedures, and Functions
• Normalization and Database Design
• Integration of SQL with Java and Python
• Hands-on Project: Designing and Querying a Complete Database

9. Software Engineering Concepts

• Software Development Life Cycle (SDLC)
• Agile and Waterfall Methodologies
• Version Control with Git & GitHub
• Debugging, Testing, and Documentation
• Software Design Patterns and Architecture
• Project Management and Collaboration Tools

10. Final Capstone Project

• Building a complete full-stack web or data-driven software project
• Integration of front-end, back-end, and database systems
• Documentation, Testing, and Presentation
• Review, Deployment, and Feedback