Math-first • Research-driven • System-building
Where Mathematics, Code, and Intelligence Converge.
Foundations first: linear algebra, probability, calculus → then models, training, and end-to-end ML systems that survive real data.
Why IITIAN CODER
Math-first learning with derivation and evaluation discipline — so your models work beyond toy datasets.
No hype. Only foundations → systems.
Programs
Machine Learning • Deep Learning • Generative AI • Data Science • Python for AI Engineers • Mathematics for ML
Teaching Methodology
Mathematical intuition → Statistical modeling → Algorithm derivation → Code implementation → Real-world pipeline.
01 — Mathematical intuition
02 — Statistical modeling
03 — Algorithm derivation
04 — Code implementation
05 — Real-world project
Start with foundations.
Book a counseling session only if you want capability-building, not shortcuts.