Work at a Frontier Lab

Stop Learning ML From Surface-Level Tutorials

Build the mental models that get you hired at top AI labs. Free interactive course with executable Python — no signup required.

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9 lessons2.7+ hoursRun code in browser

Trusted by engineers at top AI labs — Join 500+ ML engineers deepening their understanding

Most ML courses teach you to call fit() and hope for the best.

  • You memorize APIs but can't debug OOM errors
  • You know "attention is all you need" but not why KV cache matters
  • You can train a model but can't explain why it won't scale

Work at a Frontier Lab teaches the systems intuition that separates senior research engineers from juniors.

The Difference

Other Courses

"Here's the API"

Work at a Frontier Lab

"Here's why it breaks at scale"

Other Courses

Video lectures

Work at a Frontier Lab

Text + executable code

Other Courses

Toy examples

Work at a Frontier Lab

Production reality from labs

Other Courses

Memorize formulas

Work at a Frontier Lab

Build mental models

What Engineers Say

Finally understood why my distributed training kept crashing. The memory bandwidth lesson alone saved me a week of debugging.
S

Sarah K.

ML Engineer, Top AI Lab

Most courses teach you to call fit() and pray. This one teaches you why things break at scale. Essential for anyone doing real ML work.
M

Marcus R.

Research Engineer, AI Startup

The 'Break It' exercises are gold. I learned more debugging intentionally broken code than from any tutorial.
P

Priya T.

Applied Scientist, Big Tech

Every Lesson Follows the Same Arc

You don't just learn what. You learn why, when, and what breaks.

1

Motivation

Why do people mess this up?

2

Mental Model

Diagrams and intuition

3

Toy Code

50-150 lines you can run

4

Break It

See the failure modes

5

Scale Thinking

What happens at 70B?

6

Production

How labs actually do it

Ready to go deeper than any tutorial?

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