Dev Track 2.0
Learn in blocks. Build after every lesson.
Follow Web Development, Tailwind, TypeScript, React, and Next.js in order. Every module contains a lesson, quiz, coding exercise, and mini project—then the original iDevMeet project railway waits at the end.
Course blocks (10)
Machine Learning
What machine learning actually is, how it differs from normal programming, and the three ways a model can learn — illustrated, then hands-on.
- 01AI & ML Foundations
What AI and machine learning actually are, the three main ways a model can learn, and the vocabulary every later module builds on.
- 02Reading ML Graphs: Linear Regression
Learn to read the kind of graph used in real machine learning courses: data points, a best-fit line, prediction, and error.
- 03Core ML Algorithms
The classic algorithms behind most real-world ML systems: k-Nearest Neighbors, decision trees, logistic regression, and k-Means clustering — with hands-on implementations.
- 04Neural Networks & Deep Learning
How simple neurons combine into deep networks capable of recognizing images and understanding language, with hands-on forward-pass labs.
- 05Generative AI & Responsible Use
Understand how AI creates text and images, why it can make mistakes, and how to use it carefully in real projects.
- 06Capstone: Build a Tiny Classifier
Put everything together: build a real, working fruit classifier from scratch in JavaScript across five connected steps, running live in your browser.