Study Plan
A 6-month structured plan to cover every ML interview topic. Each month focuses on one track, while Track 7 (ML Coding) runs in parallel throughout.
1Current
rulerML Fundamentals
6 topics
0%
2
brainDeep Learning & Architecture
8 topics
0%
3
message-circleNLP & LLMs
6 topics
0%
4
zapTraining & Optimization
7 topics
0%
5
rocketInference & Deployment
7 topics
0%
6
flask-conicalApplied & Research
6 topics
0%
ML Coding — Parallel Track
Track 7 runs alongside all 6 months. Aim to complete 3-4 coding challenges per month: one "implement from scratch" exercise, one NumPy/PyTorch drill, and one algorithm problem. This keeps your implementation skills sharp while you study theory.
View Coding Challenges →Weekly Breakdown
Detailed weekly study schedules with daily topic assignments and milestone markers for practice interviews are coming soon.