Machine Learning for Beginners

The Classic Ideas Behind Modern AI — Explained Simply

A friendly, hands-on tour of classic machine learning: what it is, how it learns, and how to build real models for prediction, classification, clustering, language, and forecasting. No advanced math or coding background needed. Adapted from Microsoft's acclaimed open curriculum.

Beginner12 modules10-12 weeksAbsolute beginners and curious minds — no prerequisites

Curriculum Modules

12 modules covering everything from fundamentals to advanced topics.

Capstone Project

Put everything together in a comprehensive final project that demonstrates your mastery. Includes real-world problem solving, documentation, and portfolio-ready deliverables.

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Machine Learning for Beginners

Curriculum Modules

Module 1: What Is Machine Learning?

Module 2: Fairness & Responsible AI

Module 3: How a Machine Learning Project Works

Module 4: Predicting Numbers — Your First Regression Model

Module 5: Predicting Categories — Logistic Regression

Module 6: Turn Your Model Into a Web App

Module 7: Classification — Teaching Machines to Sort

Module 8: Clustering — Finding Hidden Groups

Module 9: Natural Language Processing — Machines and Human Language

Module 10: Time Series — Forecasting the Future

Module 11: Reinforcement Learning — Learning by Trial and Error

Module 12: Machine Learning in the Real World

Capstone Project