Curriculum 2.0

Project-Based Internship Tracks

Stop watching endless tutorials. Start building production-ready applications.
Choose a track below and start your 30-day transformation.

Most Popular

Full Stack Web Development

Master the MERN Stack (MongoDB, Express, React, Node) in 30 days.

  • Day 1-2: Advanced HTML5 & Semantic Tags. Accessibility standards.
  • Day 3-5: Tailwind CSS Masterclass. Building a responsive Grid/Flexbox layout.
  • Day 6-7: Modern JavaScript (ES6+, Async/Await, DOM Manipulation).
  • Mini Project: Build a Personal Portfolio Website deployed on Vercel.
  • Day 8-10: Component Lifecycle, Props, and State Management.
  • Day 11-12: React Hooks (useState, useEffect, useContext, useReducer).
  • Day 13-14: React Router v6 & Single Page Application (SPA) logic.
  • Mini Project: Build a Dynamic Movie Search App using OMDB API.
  • Day 15-17: Node.js Runtime & Express.js Server Setup. Middleware concepts.
  • Day 18-20: MongoDB Atlas Setup. Mongoose Schemas & CRUD operations.
  • Day 21: REST API Architecture & Postman Testing.
  • Mini Project: Build a Task Manager API with JWT Authentication.
  • Day 22-25: Integrating Frontend with Backend (Axios/Fetch).
  • Day 26-28: Payment Gateway Integration (Razorpay/Stripe) & Deployment.
  • Day 29-30: Final Code Review, Bug Fixing & Certificate Generation.
  • Final Project: Full Stack E-Commerce Dashboard.

₹200 / lifetime access

Enroll in Web Track
High Salary

AI & Data Science Architect

From raw data to predictive models. Learn the tools powering the AI revolution.

  • Day 1-3: Python Syntax, Lists, Dictionaries, Functions & OOPs.
  • Day 4-5: NumPy Arrays & Matrix Operations for high-speed calc.
  • Day 6-7: Pandas DataFrames, Data Cleaning & Preprocessing.
  • Project: Analyze a CSV Dataset of Netflix Movies.
  • Day 8-10: Matplotlib & Seaborn Plots (Heatmaps, Scatter, Line).
  • Day 11-13: Exploratory Data Analysis (EDA) techniques.
  • Project: Visualizing Global Covid-19 Trends.
  • Day 14-16: Supervised Learning: Linear & Logistic Regression.
  • Day 17-19: Decision Trees, Random Forests & SVMs.
  • Day 20-21: Model Evaluation (Accuracy, Precision, Recall, F1-Score).
  • Project: House Price Prediction Model using Scikit-Learn.

₹200 / lifetime access

Enroll in AI Track