Courses

🔹 Introduction to Programming

• What is Programming?

• Importance of Programming Languages

• Choosing the Right Language

🔹 C Programming

• Basics of C

  • Variables, Data Types, Operators

  • Conditional Statements (if-else, switch)

  • Loops (for, while, do-while)

• Functions in C

  • User-defined & Predefined Functions

  • Recursion

• Arrays and Strings

• Pointers and Memory Management

• File Handling in C

🔹 C++ Programming

• Introduction to Object-Oriented Programming

• Classes & Objects

• Inheritance & Polymorphism

• STL (Standard Template Library)

• Exception Handling in C++

🔹 Java Programming

• Basics of Java (JVM, JDK, JRE)

• OOP Concepts in Java

• Exception Handling

• Collections Framework

• Multi-threading in Java

• File Handling in Java

• JDBC (Database Connectivity)

🔹 Python Programming

• Python Basics (Variables, Data Types, Operators)

• Conditional & Looping Statements

• Functions and Modules

• File Handling

• OOP in Python

• Python Libraries (NumPy, Pandas, Matplotlib - Basics)

🔹 Introduction to Data Structures & Algorithms

• Importance of DSA in Problem Solving

• Time & Space Complexity (Big-O Notation)

• Recursion & Backtracking Basics

🔹 Arrays & Strings

• Introduction to Arrays & Memory Allocation

• Operations on Arrays (Insertion, Deletion, Searching, Sorting)

• Two Pointer Technique

• Sliding Window Technique

• String Manipulation & Pattern Matching (KMP Algorithm, Rabin-Karp)

🔹 Linked List

• Introduction to Linked List

• Types of Linked List (Singly, Doubly, Circular)

• Operations (Insertion, Deletion, Reversal)

• Floyd’s Cycle Detection Algorithm

🔹 Stacks and Queues

• Stack (Using Arrays & Linked List)

• Applications of Stack (Infix to Postfix, Parenthesis Matching)

• Queue & Deque Implementation

• Priority Queue

🔹 Recursion & Backtracking

• Recursion Basics & Call Stack

• Backtracking Approach (Sudoku Solver, N-Queens Problem)

🔹 Sorting & Searching Algorithms

• Bubble Sort, Selection Sort, Insertion Sort

• Merge Sort, Quick Sort

• Binary Search & Variations

🔹 Trees & Binary Search Tree (BST)

• Introduction to Trees & BST

• Traversal Techniques (Inorder, Preorder, Postorder, Level Order)

• BST Operations (Insertion, Deletion, Searching)

• AVL Tree

🔹 Graphs

• Graph Representation (Adjacency Matrix & List)

• BFS (Breadth First Search) & DFS (Depth First Search)

• Shortest Path Algorithms (Dijkstra, Floyd-Warshall)

• Minimum Spanning Tree (Kruskal, Prim’s Algorithm)

🔹 Dynamic Programming (DP)

• Introduction to DP & Memoization

• Common DP Problems (Knapsack, Longest Common Subsequence, LIS)

• Matrix Chain Multiplication

🔹 Competitive Programming Practice

• Problem Solving on Platforms (LeetCode, CodeChef, HackerRank)

• Weekly Coding Challenges

🔹 Introduction to Frontend Development

• Understanding the Role of a Frontend Developer

• Overview of Web Technologies (HTML, CSS, JavaScript)

• Introduction to Responsive Web Design

🔹 HTML (HyperText Markup Language)

• Basics of HTML (Headings, Paragraphs, Lists, Tables)

• Forms and Input Handling

• HTML5 Features (Audio, Video, Canvas, Semantic Tags)

🔹 CSS (Cascading Style Sheets)

• Selectors, Colors, and Backgrounds

• Box Model & Positioning (Flexbox, Grid)

• CSS Animations & Transitions

• Media Queries for Responsive Design

🔹 JavaScript (JS)

• JavaScript Basics (Variables, Functions, Loops, Objects)

• DOM Manipulation & Events

• ES6+ Features (Arrow Functions, Template Literals, Destructuring)

• Asynchronous JavaScript (Callbacks, Promises, Async/Await)

🔹 Git & GitHub

• Basics of Git (Initializing a Repository, Commits, Branching)

• Pushing Projects to GitHub

• Collaborating with GitHub

🔹 Tailwind CSS

• Introduction to Tailwind CSS

• Utility-First Approach

• Customizing Tailwind & Dark Mode

• Responsive Design with Tailwind

🔹 React.js (Modern Frontend Framework)

• Introduction to React.js & JSX

• Functional Components & Props

• State Management (useState, useEffect)

• React Router for Navigation

• API Integration (Fetching Data from APIs)

• Context API for State Management

🔹 Firebase (Backend for Frontend Devs)

• Introduction to Firebase

• Firebase Authentication (Google, Email/Password Login)

• Firestore Database Basics

• Deploying a React App with Firebase

🔹 Project Work & Portfolio Building

• Building a Responsive Landing Page

• Creating a React-based Portfolio Website

• Deploying Projects Online (Netlify, Vercel, Firebase Hosting)

🔹 Introduction to Full Stack Development

• Overview of MERN Stack

• Understanding the Role of Frontend & Backend

• Client-Server Architecture

🔹 MongoDB (Database)

• Introduction to NoSQL & MongoDB

• Installing MongoDB & Setting Up a Database

• CRUD Operations (Create, Read, Update, Delete)

• MongoDB Aggregation & Indexing

• Mongoose (Schema & Model)

🔹 Express.js (Backend Framework)

• Introduction to Express.js

• Setting Up a Node.js Server

• Creating API Routes (GET, POST, PUT, DELETE)

• Middleware & Error Handling

• Authentication with JWT (JSON Web Token)

🔹 React.js (Frontend Framework)

• React Basics (Components, Props, State)

• React Router for Navigation

• Fetching Data from APIs

• Context API & Redux for State Management

• React Hooks (useState, useEffect, useContext)

🔹 Node.js (Backend Environment)

• Introduction to Node.js & NPM

• File System & Streams

• Building REST APIs with Express

• Handling Authentication & Authorization

🔹 Connecting Frontend with Backend

• Fetching Data from Express API in React

• Implementing User Authentication (JWT + React Context)

• Protecting Routes in React

🔹 Deployment & Project Work

• Deploying Backend on Render / Railway / Vercel

• Deploying Frontend on Netlify / Vercel

• Connecting Backend with MongoDB Atlas

• Full-Stack MERN Project:

  • User Authentication System

  • Blog Website with CRUD Features

  • E-commerce Platform (Basic)

🔹 Basic Computer Skills

• Understanding Computer Hardware & Software

• Operating Systems (Windows, macOS, Linux)

• File Management (Creating, Renaming, Deleting Files/Folders)

• Installing & Uninstalling Software

🔹 Internet & Networking Basics

• Understanding the Internet & Web Browsers

• Basics of Networking (LAN, WAN, Wi-Fi, IP Address)

• Safe Browsing & Cybersecurity Basics

🔹 Microsoft Office / Google Workspace

• MS Word / Google Docs (Document Formatting, Templates)

• MS Excel / Google Sheets (Basic Formulas, Charts, Pivot Tables)

• MS PowerPoint / Google Slides (Creating Presentations)

🔹 Email & Online Communication

• Creating & Managing Emails (Gmail, Outlook)

• Writing Professional Emails

• Online Meetings & Collaboration (Google Meet, Zoom)

🔹 Typing & Shortcuts

• Improving Typing Speed & Accuracy

• Keyboard Shortcuts for Windows & macOS

🔹 Intermediate Level Topics

🔹 Advanced Excel & Data Handling

• Formulas & Functions (VLOOKUP, HLOOKUP, IF, SUMIF)

• Data Sorting, Filtering & Validation

• Conditional Formatting

• Creating Reports & Dashboards

🔹 Introduction to Programming

• Basics of Programming (C, Python)

• Writing & Executing Simple Programs

• Logical Thinking & Problem Solving

🔹 Computer Troubleshooting

• Common Software & Hardware Issues

• Antivirus & System Security

• Basic Troubleshooting & System Maintenance

🔹 Advanced Computer Skills

🔹 Operating Systems & Command Line

• Windows Command Prompt & PowerShell

• Linux Basics (Terminal Commands, File Permissions)

🔹 Introduction to Cloud Computing

• Google Drive, Dropbox, OneDrive

• Cloud-Based Collaboration & Storage

🔹 Cybersecurity & Ethical Hacking Basics

• Understanding Phishing, Malware, Ransomware

• Password Management & Two-Factor Authentication

• Basic Network Security

🔹 Resume Building & Job Preparation

• How to Create a Strong Resume

• Cover Letter Writing

• Online Job Portals & Profile Optimization (LinkedIn, Naukri)

🔹 Final Project & Certification

• Hands-on Project:

  • Create an Automated Excel Report

  • Build a Resume Using MS Word

  • Prepare a Presentation on Cybersecurity

🔹 Introduction to Placement Process

• Understanding Campus & Off-Campus Placements

• Different Hiring Processes (Walk-ins, Referral, Direct Applications)

• Importance of Resume & LinkedIn Profile

🔹 Resume & Cover Letter Building

• Creating an ATS-Friendly Resume

• Writing an Impactful Cover Letter

• Customizing Resume for Different Job Roles

• Do’s & Don’ts in Resume Writing

🔹 Aptitude & Logical Reasoning

• Quantitative Aptitude (Profit & Loss, Time & Work, Probability)

• Logical Reasoning (Puzzles, Coding-Decoding, Data Interpretation)

• Verbal Ability (Reading Comprehension, Grammar, Sentence Correction)

🔹 Technical Interview Preparation

🔸 Programming & Data Structures

• Language-Specific Preparation (C/C++, Java, Python)

• Important DSA Topics (Arrays, Strings, Recursion, Linked Lists)

• Solving Coding Challenges (LeetCode, CodeChef, HackerRank)

🔸 Core CS Subjects

• Operating Systems (Process Management, Memory Management)

• DBMS (Normalization, Indexing, SQL Queries)

• Computer Networks (TCP/IP, HTTP, Routing Protocols)

🔸 System Design & OOP Concepts

• Understanding Low-Level & High-Level Design

• OOPS (Encapsulation, Inheritance, Polymorphism)

• Design Patterns & Real-Life Scenarios

🔹 HR & Behavioral Interview Preparation

• Most Common HR Interview Questions

• STAR Method for Answering Behavioral Questions

• Negotiation & Salary Discussion Strategies

• Handling Stress Interviews

🔹 Group Discussion & Communication Skills

• Techniques for Effective Communication

• How to Speak Confidently in Interviews

• Group Discussion Do’s & Don’ts

🔹 Final Mock Interviews & Assessments

• Live Mock Interviews (Technical + HR)

• Feedback & Improvement Suggestions

• Personalized Career Guidance

🔹 Final Project & Certification

• Creating a Portfolio Website

• Writing a Tech Blog on LinkedIn

• Final Resume & LinkedIn Profile Submission

🔹 Introduction to Data Analytics

• What is Data Analytics?

• Importance of Data in Decision Making

• Types of Data Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)

• Career Opportunities in Data Analytics

🔹 Excel for Data Analysis

• Data Cleaning & Formatting

• Conditional Formatting & Data Validation

• Pivot Tables & Charts

• Advanced Excel Formulas (VLOOKUP, HLOOKUP, INDEX-MATCH)

🔹 SQL for Data Analysis

• Introduction to Databases & SQL

• Writing SQL Queries (SELECT, WHERE, GROUP BY, HAVING)

• Joins & Subqueries

• Aggregate Functions (SUM, AVG, COUNT)

• Optimizing SQL Queries

🔹 Python for Data Analytics

• Introduction to Python & Jupyter Notebook

• Data Types, Lists, Tuples, Dictionaries

• Pandas for Data Manipulation

• NumPy for Numerical Analysis

• Data Visualization with Matplotlib & Seaborn

🔹 Data Cleaning & Preprocessing

• Handling Missing Values

• Data Transformation & Encoding

• Outlier Detection & Handling

• Feature Scaling & Normalization

🔹 Data Visualization & Business Insights

• Creating Interactive Dashboards

• Data Storytelling with Power BI / Tableau

• Creating Reports & Business Insights

🔹 Exploratory Data Analysis (EDA)

• Identifying Trends & Patterns in Data

• Correlation & Regression Analysis

• Using Statistical Methods for Decision Making

🔹 Machine Learning Basics (Optional)

• Introduction to Machine Learning

• Supervised vs Unsupervised Learning

• Implementing Simple ML Models (Linear Regression, Decision Trees)

🔹 Final Project & Certification

• Real-World Data Analysis Project

• Creating a Data Report & Dashboard

🔹 Introduction to UI/UX Design

• What is UI/UX? Difference Between UI & UX

• Importance of UI/UX in Modern Applications

• Career Opportunities in UI/UX

🔹 UX (User Experience) Fundamentals

• Understanding User Psychology & Behavior

• UX Research Methods (User Interviews, Surveys)

• Creating User Personas & User Journey Maps

• Competitor Analysis

🔹 Wireframing & Prototyping

• Introduction to Wireframes

• Low-Fidelity vs High-Fidelity Wireframes

• Tools for Wireframing (Figma, Adobe XD, Balsamiq)

• Creating Clickable Prototypes

🔹 UI (User Interface) Design Principles

• Color Theory & Typography

• Visual Hierarchy & Layout Design

• Consistency & Design Patterns

• Responsive & Adaptive Design

🔹 Design Tools & Software

• Figma (Complete Hands-on)

• Adobe XD / Sketch Basics

• Using Plugins & Components in Figma

🔹 Interaction & Animation

• Microinteractions & Motion UI

• Creating Smooth UI Animations

• Usability Testing for Interactions

🔹 UX Writing & Content Strategy

• Writing Effective Microcopy

• CTA (Call-to-Action) Best Practices

• Content Strategy for Websites & Apps