About DeepML
A free, focused learning workspace for programming and AI math. Read the idea, work through the examples, build the skill.
What is DeepML?
DeepML is a free online learning platform designed for programmers, students, and anyone building skills in software engineering and artificial intelligence. The platform covers four core tracks: Python, C, C++, and Math for LLMs.
Unlike video-based courses or tutorial aggregators, DeepML is built as a workspace. Every lesson is designed to be read, practiced, and completed in a single focused session. Code examples come with expected output, math is typeset like a textbook, and the next lesson is always one click away.
With 359 structured lessons organized into 57 modules across four tracks, DeepML provides a clear path from first syntax to production-ready skills — including the mathematical foundations needed for modern AI and large language model development.
Our Mission
We believe that learning to code — and understanding the math behind AI — should be accessible, structured, and practical. Too many resources either overwhelm beginners with information or leave experienced learners without enough depth.
DeepML exists to close that gap. Our mission is to help every learner build real, lasting skill through carefully structured lessons, worked examples, and first-principles explanations. We want you to finish every session knowing more than when you started.
Every course is free. Every lesson is accessible without sign-up. We earn your continued attention by being genuinely useful, not by locking content behind paywalls.
How It Works
Read
Each lesson starts with a clear goal and explains the concept in plain language before showing any code or formulas.
Build
Worked examples with expected output show the idea in action. Copy them into your own editor and experiment.
Go Deeper
Follow the next lesson in the track, or jump to the original papers behind the ideas you just learned.
What Makes DeepML Different
Text-First, Not Video
Lessons are written to be read at your own pace, with worked examples you can copy and nothing to scrub through.
Math Taught Through Models
The Math for LLMs track teaches linear algebra, calculus, probability, and optimization through transformers, attention, and modern training pipelines.
From First Principles
Each track starts at the fundamentals — memory and pointers in C, data structures in Python — and builds up to production-level topics.
Fast, Lightweight Pages
Lessons are pre-rendered static pages, so they load quickly on any device and work without an account.
Platform Features
359 Lessons
Structured lessons from beginner basics to advanced topics, organized into 57 modules.
4 Course Tracks
Python, C, C++, and Math for LLMs — each structured as a guided learning path.
Full-Text Search
Find any concept, function, or topic instantly within each course.
Typeset Math
Every equation is rendered from LaTeX, so formulas read like a textbook on any screen.
Jupyter Notebooks
Selected math chapters include downloadable theory and exercise notebooks.
Landmark Papers
Study breakthrough ML papers through the math chapters that explain them.
Light & Dark Reading
Lessons follow your system theme, with a one-click toggle.
Free, No Sign-Up
Every lesson is open. No account, no paywall, no credit card.
Built By
DeepML is built and maintained by an independent developer passionate about making programming and AI math education accessible to everyone. The platform is the result of combining hands-on teaching experience with modern web technology to create a learning workspace that actually works.
Every lesson, feature, and design decision is guided by a simple question: does this help the learner build real skill?
Have questions, feedback, or suggestions? Visit our contact page or connect on GitHub.
Ready to start learning?
Pick a track and begin your first lesson — no sign-up required.