01 · ROLE MAP
A path built for the role
Start with a shared foundation, then choose Data Scientist or ML Engineer work—and only the specializations you need.
From zero to interview-ready
Learn ML by building evidence.
Clear lessons. Serious practice. Projects you can defend for Junior Data Scientist and ML Engineer interviews.
24 independent ML/AI courses2 target rolesPortfolio + interview practice
How learning works
Do the work. Keep the proof.
Each lesson moves from an industry situation to a clear model, worked example, dense practice, and evidence you can explain.
02 · RUN + TEST
Practice that can block progress
Run code in the browser, pass deterministic checks, or explicitly choose to continue without verified task completion.
03 · IN CONTEXT
Review in the right context
Get structured feedback on code, reasoning, experiments, and project decisions without losing the lesson objective.
04 · PROOF
Evidence for the interview
Keep tested code, decision logs, error analysis, and project-defense notes that an interviewer can question.
One program, independent parts
Buy the full path—or only the skill gap.
Every ML/AI module is a standalone course. Start with the complete career program, or purchase a single course when work exposes a specific gap.
Understand Build my path24
Independent ML/AI courses
3300+
Practice tasks across the path
Interview
The standard for every project