Resources - AI in STEM

Resource Library

What AI is, how it thinks, and where it's going.

Elements of AI — University of Helsinki (Course, Beginner) — A free, no-code intro that demystifies what AI really is (and isn't). The best first stop.
Crash Course: Artificial Intelligence — CrashCourse / YouTube (Video, Beginner) — A 20-part series walking through how AI systems actually work, with friendly visuals.
A Neural Network Playground — TensorFlow (Interactive, Intermediate) — Train a neural network directly in your browser and watch its decision boundary take shape, building an intuition no equation alone can convey.
CS50's Introduction to AI with Python — Harvard (Course, Intermediate) — Harvard's rigorous, free survey of the foundations of AI, covering search, knowledge representation, optimization, and machine learning in Python.
What Is ChatGPT Doing… and Why Does It Work? — Stephen Wolfram (Article, Advanced) — A deep, readable essay on what's really happening inside a large language model.

How machines learn from data, the engine beneath modern AI.

Neural Networks (Visual Series) — 3Blue1Brown (Video, Beginner) — The legendary, gorgeously animated explanation of how neural networks actually learn.
Intro to Machine Learning — Kaggle Learn (Interactive, Beginner) — Hands-on, in-browser lessons that have you building your first models in an afternoon.
Machine Learning Crash Course — Google (Course, Intermediate) — Google's self-paced course with videos, real exercises, and TensorFlow practice.
StatQuest: Machine Learning — Josh Starmer / YouTube (Video, Intermediate) — Breaks down the statistics behind ML algorithms clearly. "BAM!" Genuinely fun.
Practical Deep Learning for Coders — fast.ai (Course, Advanced) — Build state-of-the-art deep learning models from day one, top-down and code-first.

Programming foundations and computer science.

CS50x: Intro to Computer Science — Harvard (Course, Beginner) — The famous free course that teaches you to think like a computer scientist from scratch.
Learn to Code: Interactive Curriculum — freeCodeCamp (Interactive, Beginner) — Thousands of hands-on coding challenges and full certifications, completely free.
Computer Programming — Khan Academy (Lesson, Beginner) — Gentle, interactive lessons in JavaScript, HTML/CSS, and SQL with live editors.
Python Tutorials & Guides — Real Python (Article, Intermediate) — Clear, in-depth written tutorials spanning the entire Python ecosystem, and a reference worth returning to long after your first read.
Intro to CS and Programming (6.0001) — MIT OpenCourseWare (Course, Intermediate) — MIT's complete introductory course, with lectures, problem sets, and exams all free to work through at your own pace.

From first servos to autonomous machines.

Getting Started with Arduino — Arduino (Interactive, Beginner) — The friendliest entry point to physical computing, where you wire up sensors and motors and program them to respond to the world.
FIRST Robotics — FIRST (Course, Beginner) — The global student robotics program, offering structured resources, hardware kits, and a community to build alongside.
Boston Dynamics — YouTube (Video, Beginner) — A look at the frontier of what robots can do, and a glimpse of where the field is heading next.
ROS 2 Official Tutorials — Open Robotics (Lesson, Advanced) — The Robot Operating System is how real robots are built. Step-by-step official docs.
Introduction to Robotics (2.12) — MIT OpenCourseWare (Course, Advanced) — The kinematics, dynamics, and control theory behind real robotic arms, drawn from MIT's free course.

How the built world works, and how to design it.

Crash Course: Engineering — CrashCourse / YouTube (Video, Beginner) — A fast, wide-ranging tour of the major engineering disciplines, ideal for discovering which one suits you.
Physics — Khan Academy (Lesson, Beginner) — The physics every engineer leans on, taught with clear lessons and practice problems.
Practical Engineering — Grady Hillhouse / YouTube (Video, Intermediate) — How real infrastructure works, explained by a practicing civil engineer with demos.
Electronics Textbook — All About Circuits (Article, Intermediate) — A free, comprehensive online textbook covering DC, AC, and digital electronics.
Engineering Courses — MIT OpenCourseWare (Course, Advanced) — Hundreds of complete MIT engineering courses spanning mechanical, electrical, civil, and beyond.

Elements of AI — University of Helsinki — Begin with the ideas themselves: what machine intelligence actually is, what these systems can and cannot do, and why any of it matters, all before writing a single line of code.
CS50x: Intro to Computer Science — Harvard — Build a real programming foundation. Everything after this gets easier.
Neural Networks (Visual Series) — 3Blue1Brown — See the mathematics behind learning rendered genuinely intuitive, well before you ever write any of it yourself.
Machine Learning Crash Course — Google — Train your first real models with the same tools the pros use.
Practical Deep Learning for Coders — fast.ai — Go the full distance and build state-of-the-art deep learning models with your own hands.

01 / Choose a topic

Resources Title · Type · Level

02 / Beginner Timeline

A little of everything, for the curious