The LeetCode for AI/ML
75 labs · 439 coding tasks · 345 automated tests. Master everything from NumPy to Transformers to MLOps to system design.
Practice by Category
From Python basics to production ML system design
Progressive Difficulty
Start easy, build to FAANG expert level
Easy
8Python, NumPy, Pandas, EDA, Math foundations
Medium
21Classical ML, evaluation, feature engineering
Hard
26Deep learning, CNNs, NLP, transformers, LLMs
Expert
20System design, MLOps, RAG, LLMs, agentic AI
Built for FAANG Interviews
In-Browser Python
Run code directly in your browser with Pyodide. No setup required.
Automated Testing
Every lab has test cases extracted from real FAANG-style curricula.
Interview Angles
Each lab includes FAANG gotchas, checkpoint questions, and complexity notes.
15-Week Curriculum
Structured learning path from foundations to system design.
Progress Tracking
Track your completion, streaks, and weak areas.
Solutions + Rationale
Unlock instructor solutions with short FAANG-style rationale.
Run AI/ML Programs with Measurable Outcomes
Partner with S30 AI Lab for structured labs, cohort analytics, and interview-ready skill development.
Cohort-based curriculum mapping, faculty enablement, and placement-focused AI/ML preparation.
Team upskilling tracks with hands-on labs, benchmarked assessments, and capability dashboards.