SoloDevMeet learning path
AI Lab
Learn machine learning step by step: what it actually is, how models are trained, the core algorithms behind real products, and how neural networks work — then build a real classifier from scratch in your browser.
01 // Read simply
Each lesson explains one idea. The plain-language translation turns technical wording into a familiar example.
02 // Try a small answer
Answer in your own words or run the small code lab. A rough first attempt is enough; the goal is practice, not perfection.
03 // Use help wisely
Use a hint when you are stuck. Open the solution after an attempt, then explain the answer back to yourself before moving on.
AI & 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.
6 guided lessons — open module
Working With Data
The unglamorous but critical part of ML: what makes data usable for training, how to clean it, and how to split it so your evaluation is honest.
6 guided lessons — open module
Reading 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.
4 guided lessons — open module
How to Train a Model
The "train data" course: what training actually computes, hands-on JavaScript labs for loss, gradient descent, and the learning rate — with real running code and a real console.
7 guided lessons — open module
Core 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.
6 guided lessons — open module
Neural Networks & Deep Learning
How simple neurons combine into deep networks capable of recognizing images and understanding language, with hands-on forward-pass labs.
8 guided lessons — open module
Generative AI & Responsible Use
Understand how AI creates text and images, why it can make mistakes, and how to use it carefully in real projects.
4 guided lessons — open module
SecureBuild: Protect Your App
A safe, step-by-step security path for builders: protect accounts, data, secrets, users, and your project without needing to be a hacker.
7 guided lessons — open module
SecureBuild: Requests, Permissions & Safe Inputs
Turn security ideas into safe app behaviour: verify ownership on the server, validate requests and uploads, protect sessions, and prepare a safe release.
7 guided lessons — open module
Capstone: 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.
5 guided lessons — open module