AI MASTERY · BUILT FOR ENGINEERS

AI skills,
mastered.

Learn by shipping

Stop spending tokens. Start building knowledge that pays back — what you shipped and why it sticks past the next API rev.

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First lesson is free. No card. Pull a real Docker image and finish with something measurable.

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OUR APPROACH

Three things we hold.

Microlearning

Small 4-min steps. Not 40-hour marathons. A pace a working engineer can actually sustain.

Real Docker

Every lesson ships as a runnable container. Pull it. Run it. Lift it into your codebase.

Engineers → engineers

Built by people who ship AI to production. No fluff, no instructor-staring-into-camera.

HOW IT WORKS

Inside a Snap lesson.

One topic, four minutes, a real container, a quiz. That's the loop. Repeat 30–50 times and you have a production-grade understanding of any AI domain.

01Pick a topic

RAG · Agents · Prompts · Fine-tuning · Deploy. Each is a focused 4-min path, not a course.

02Run the container

Working code in your terminal in under 30 seconds. A real image, not a sandbox.

03Follow the steps

Concept · diagram · code diff · command · mini-game · quiz. No 30-min monologue videos.

04Lock it in

Spaced repetition pings on day 1, 3, 7, 30. The skill stays past the next API rev.

~/snap-rag · lesson 03

$ snap start rag-vector --lesson 03

Pulling snap/rag-vector:lesson-03...

✓ Container ready (3.2s)

STEP 1/6 · CONCEPT

Re-ranking: why a 2nd pass beats raw recall.

STEP 2/6 · CODE

edit src/retriever.py · 14 lines

STEP 3/6 · COMMAND

$ pytest tests/test_rerank.py -v

✓ 4 passed in 0.8s

→ answer-quality +18% (eval set, n=200)

LIVE DEMO · NO SPLASH SCREEN

READY TO MASTER